You've got work waiting
Action these items to keep your development on track.
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You have items waiting in your Review Queue.
Your session is still running. Click to turn your microphone back on — Wisdom Shift can't hear you until you do.
Session Already Active
A session with is already running (). A session is running in another tab or window — switch to that tab to carry on. This tab won't use your microphone.
What would you like to do?
Unfinished Session Found
A session with didn't finish cleanly last time.
A transcript was recovered. Would you like to generate the post-session report?
No transcript was recovered — you can discard this session.
Recalibrate your effectiveness scores?
Recalibrate your effectiveness scores using your saved anchor sessions? This is recommended every new calls. You have added about new session since your last calibration.
End session
Framing and scoring happen in the post-session workspace.
More options
Mark as partial session
Ignore in analytics
Select a reason to continue.
Consider reducing session frequency or switching to a faster model if you are running close to the limit.
Who's who in this session?
This was a face-to-face session, so Wisdom Shift can't tell coach from learner by audio channel alone. Confirm who said each line below — this determines who scoring analyses as the coach.
Add session context
Give Sophia the context the transcript can't show — relationship, mindset, session intent. Richer context = more accurate scoring.
or
This debrief is confirmed and was used in scoring. Use the button below to re-score with this context.
Debrief saved — this session will be scored at . Use Score now if you'd rather not wait.
If this hangs, use Cancel and try typing instead.
Make any corrections, then click Confirm & Score.
Saving your debrief… Scoring session with your context…
Usually one to two minutes.
Debrief saved
This session will be scored at today.
Your learner email, summary and check-ins are being prepared now — only the score waits.
At that time Wisdom Shift locks the suggested session frame and scores automatically. To adjust the frame yourself, use Score now instead.
You don't need to keep Wisdom Shift open — it scores on its own.
Session scored
Wisdom Shift will lock the suggested session frame and score automatically. To adjust the frame yourself, use Confirm & Score now.
Score this session at…
Add a session from notes
For a call that was not captured. It is saved as a full session — in your lists, the learner's history, your check-ins for next time and your hours. It has no recording, so it has no score.
New learner — they will be added to your learners.
Speak your debrief
Talk it through as you would after any session — what it was about, what shifted, what was agreed, what to pick up next time. You can correct the words before saving.
Type or paste anything you wrote down. Use your notes, your spoken debrief, or both — together they become the record of this session.
For example a Teams or Zoom transcript. If you paste one, the session is analysed and scored from it like a recorded session. A short extract is kept with your notes instead.
Adding a session this way does not use a session credit.
Moment Prompts
Setup Walkthrough
Follow these steps to configure Wisdom Shift for your workspace and prepare for your first live session. Follow these steps to get Wisdom Shift ready for your first live session. Some steps are managed by your workspace admin.
Required to run your first session
These can only come from you — Wisdom Shift can’t pre-fill them. Do these first.
You’ve got the essentials — you’re ready to run sessions. Everything below just makes Wisdom Shift work better.
You MUST set your meeting app's audio OUTPUT to "Multi-Output Device" — not your normal speakers or headphones.
One-time setup
- Open Audio MIDI Setup (search in Spotlight)
- Click "+" at bottom left → Create Multi-Output Device
- Check both "BlackHole 2ch" AND your speakers/headphones
- Name it "WS + Speakers" (optional but helpful)
Before each remote session
In Teams / Webex / Zoom → Settings → Audio → Speaker / Output → select "Multi-Output Device" (or "WS + Speakers")
AI Providers
Domain Credentials
Wisdom Shift uses AI models from OpenAI or Anthropic (Google Gemini support is coming soon). Choose whether everyone in your workspace uses the platform keys or your workspace's own keys — workspace keys are stored securely and never written to disk in plaintext.
Your workspace uses: . AI keys are managed by your workspace admin — there is nothing for you to set up.
Audio Setup
Transcription Provider
Choose how Wisdom Shift transcribes your sessions — a real-time cloud service (fastest) or a local model (private, no external key). This is a domain-wide setting, configured in Domain Credentials. Configure at least one transcription method before your first session.
Your IP
Wisdom Base
Your personal coaching library — your own frameworks and IP, models from books or courses, questions you ask, and resources you recommend. This is what makes Wisdom Shift sound like you rather than a generic bot: with nothing here, its prompts stay generic.
⚡ Contains prompts — descriptions shape how your AI uses this content
Minimum: add one item to get going. The more of your own IP you add, the more Wisdom Shift sounds like you.
⚠️ Items uploaded — tag them so the AI uses them appropriately
Automation
Calendar
Connect your calendar so Wisdom Shift automatically detects your coaching sessions, pre-fills the learner selector from the meeting attendees, and starts capturing at the scheduled time — no clicking mid-call. Enter your calendar email and connect once. You can still start sessions manually, but connecting removes almost all of the pre-call setup.
Big quality gains — do these next
Optional to start, but each of these noticeably improves how well Wisdom Shift works for you.
Audience Context
Learner Roles
Define the types of leaders or professionals you coach — their roles, the challenges they face, and what meaningful development looks like for them. Wisdom Shift injects this into every live prompt and post-session output, so the more specific you are, the more relevant its language and observations.
⚡ Contains prompts — these directly shape how your AI thinks
Methodology
Frameworks
The methodologies that anchor your coaching — a conversation model, a change framework, a leadership lens, or your own approach. Wisdom Shift ships with sensible defaults so this works out of the box; replace or refine them so it evaluates conversations through the lenses you actually use.
⚡ Contains prompts — these directly shape how your AI thinks
Your Voice
Coach Persona
Answer a short, guided interview about how you coach — your style, the questions you lean on, what you believe about development. Wisdom Shift uses your answers to sound like you across live prompts, brand content, and Sophia’s reflections. Stop and return any time; even a few answers help.
Already set up — review & make it yours
These ship pre-filled with sensible defaults, so Wisdom Shift works immediately. Tune them whenever you like to make it feel like your own.
Journey Mapping
Mindset Journey
Ships with a sensible default set of stages a learner moves through. Review them, rename them to match your model, and add a short description of what someone at each stage actually says and does — richer descriptions make the AI’s stage tracking far more accurate.
⚡ Stages defined — add explanations to complete this step
Leading Behaviour
Engagement Style
Already set to a sensible default (Socratic). Choose how you prefer to coach — Socratic, Challenging, Affirming, or Observational — to shape the tone and framing of every live prompt and summary. Change it any time; it can also differ across learner types.
⚡ Contains prompts — these directly shape how your AI thinks
Thinking Tools
Mental Models
Unlike the others here, this one starts empty — Wisdom Shift does not ship with pre-filled mental models. Add the specific thinking tools you genuinely reach for; every one is actively considered in live and post-session analysis. Fewer, well-chosen models produce sharper prompts than a long unfocused list.
Post-Session
Output Templates
Ships pre-filled and working. These templates control what Wisdom Shift generates after each session — effectiveness assessment, mindset journey analysis, summary, key quotes, check-ins, and the learner email. Edit any of them to adjust structure, tone, and length so every output sounds like you wrote it.
⚡ Contains prompts — these directly shape how your AI thinks
Identity
About Me
Set your display name and upload a profile photo. Wisdom Shift uses your name when it addresses you and signs off learner emails, and it appears on every exported report.
Configuration
Branding
Upload your logo and set your primary brand colour so all session reports, exports, and learner emails carry your visual identity. Applied automatically — no extra steps during or after each session.
Delivery
Outputs & Email
Choose which post-session documents Wisdom Shift generates automatically, set your email delivery preferences and tone, and decide whether output files open when a session ends. Ships with sensible defaults — adjust to taste.
Admin Step • Workspace
Workspace Configuration
Configure your workspace name, domain, and governance settings — including approval thresholds for shared content and domain-wide publishing rules. This controls how all members of your workspace experience Wisdom Shift.
Available to workspace admins only.
Admin Step • Team
Invite Members
Invite coaches and team members to your workspace. Master admins and domain admins can invite new members and assign roles. Standard users cannot invite others. Assign roles — domain admin, tenant admin, or standard user — to control what each member can access and configure.
Available to master admins and domain admins only.
Admin Step • Billing
Billing & Session Credits
Set up your session credit balance so your team can run live sessions. Session credits are shared across your workspace — one session credit is used per 30 minutes of a live session. You can top up at any time and turn on auto top-up to avoid interruptions. All charges are in US dollars.
Available to workspace admins only.
Workspace Setup · Admin Required
Workspace Configuration
Your workspace name, domain rules, and member governance are managed by your workspace administrator. You don't need to configure these to start coaching.
AI Credentials · Admin Required
API Keys
Your workspace admin needs to configure API credentials before AI features are available. Once configured, all AI-powered features will activate automatically for your account.
Subscription · Admin Required
Billing
Billing is managed by your workspace administrator. If sessions are paused because session credits have run out, ask your administrator to top up.
You can return to this page at any time from the sidebar — it won't block you from using the app.
Think Aloud
Speak a free-form thought — WS will transcribe it, categorise each idea, and suggest a concrete action.
How to use Think Aloud
- Press Start Recording and speak naturally — no need to structure your thoughts.
- WS will identify distinct ideas and classify each into a category.
- For each idea, choose Yes, do it to take the suggested action, or Skip to move on.
- Everything is saved to your History tab for later review.
Ready to capture your thoughts
Speak your thought — press Stop when done
Transcribing and analysing your thought…
Ideas captured
You said
History
Transcript
✓
Skipped
How to Use Sessions
What each page does, when to use it, and how the AI uses information from it.
My Sessions
Pre-Session
Prepare the AI for your next session in under two minutes — select your learner, set context, and review a brief from their last session including unresolved themes and a suggested opening question.
Workflow
Tips
Example scenario
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Live Session
During a session, Wisdom Shift listens and surfaces one targeted prompt when a significant moment is detected — a resistance, an identity statement, a commitment, or a stage transition. Prompts are sparse by design.
Workflow
Tips
Example scenario
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Post-Session
Review, refine, and distribute your AI-generated session outputs — effectiveness scores, mindset journey analysis, session summary, key quotes, next-session check-ins, and a draft learner email.
Workflow
Tips
Example scenario
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Those I'm Teaching
My Learners
Your full coaching roster — each person you are currently working with, their current mindset stage, and their last session date. The starting point for individual and group views.
Workflow
Tips
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Individual Dashboard
A full development picture for one learner — their stage trajectory over time, effectiveness scores by dimension, recent session themes, and an AI-generated insight about their current coaching focus.
Workflow
Tips
Example scenario
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Group Dashboard
See where a cohort sits on the Mindset Journey at a glance. Select learners, click Update Chart, and get an AI-generated cohort insight showing common themes and stage clusters across the group.
Workflow
Tips
Example scenario
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Learner Journey
Track one learner's progress over time — their mindset-stage progression, session scores across your coaching dimensions, and framework-guided suggestions for where to take them next.
My Leading and Learning
My Leading Effectiveness
Track your coaching effectiveness across key dimensions over time. Scores update after each session and feed directly into your Leader Learning plan, so weaker dimensions automatically get more focus.
Workflow
Tips
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Leader Learning
A structured weekly learning plan drawn from your Wisdom Base and tied to your lowest effectiveness dimension. Includes activities, reflection prompts, and understanding checks that build over time.
Workflow
Tips
Example scenario
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Collision of Thought
A structured dialogue format designed to surface tension between two perspectives. The AI synthesises what shifted, what stayed entrenched, and what follow-up conversations the session points toward.
Workflow
Tips
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My Dashboard
A consolidated overview of your coaching practice — session volume, effectiveness trends, learner stage distribution, and recent activity. Use it to orient yourself at the start of a week or before a planning conversation.
Workflow
Tips
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My Identity and Beliefs
The core belief statements that define how you lead and coach. Every AI output — live prompts, analysis, emails — is filtered through these. Keeping them current and specific is one of the highest-leverage things you can do.
Workflow
Tips
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Think Aloud
Capture free-form thoughts between sessions — observations about a learner, ideas for your practice, or reflections on what's emerging. Wisdom Shift categorises each thought and suggests a concrete next action.
Models Used
Every model used in every session is recorded — taught, applied, referenced or brought by the learner. See which you use most and when, filter by company or learner, and open a clean client view for one company.
Metacognition Profile
Patterns drawn from your last 30 sessions — your recurring coaching habits, tendencies, and choices. Reflect on and tag each pattern to drive deliberate, self-directed development.
Tag Report
Compare your effectiveness across session tags — see which types of session you tend to score highest and lowest on, so you can focus your development where it matters.
ICF Dashboard
See how your coaching maps to the ICF Core Competencies (2019 model) — a credential-aligned view of your strengths and the competencies worth deliberate attention.
My Wisdom Base
My Reading
Personalised book and resource recommendations for your own development, drawn from your Wisdom Base and your effectiveness profile. Weighted toward your own IP before looking outward.
Workflow
Tips
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Wisdom Base
Your full coaching library — your own IP, key frameworks, books, and reference material. This is the primary source the AI draws on for live prompts, post-session analysis, and learning recommendations. Quality and tagging matter more than volume.
Workflow
Tips
Example scenario
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Frameworks
The coaching and leadership frameworks you work with. Tag your primary frameworks so the AI prioritises them in live prompts and post-session analysis. A clear description per framework significantly improves output quality.
Workflow
Tips
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Mental Models
The thinking tools the AI draws on when generating prompts and analysis. Add your own models — especially those specific to your practice — and describe them in coaching terms so the AI can apply them to real transcript moments.
Workflow
Tips
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Review Queue
Wisdom Base items flagged for review — content that hasn't been used recently, scored low in relevance, or that you've marked manually. Work through it periodically to keep your library healthy and the AI's outputs sharp.
Workflow
Tips
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Personal Brand
Coach Persona
Build your coach persona profile through a structured interview. Your answers power your Personal Brand content and help Wisdom Shift sound like you.
Brand Content
Generate professional bios, positioning statements, and content ideas from your persona profile and Wisdom Base stories.
Learner Quotes
Curate real learner quotes from your sessions. Set rules for what's worth keeping; the engine surfaces and learns from your choices.
Not sure how the AI makes decisions?
How WisdomShift Thinks
A plain-English guide to the AI engines behind live prompts, session analysis, and learning recommendations.
Overview
WisdomShift runs on a handful of engines working together. During a live session, a decision loop decides when a moment is genuinely worth a prompt. Afterwards, two rubric systems read the transcript to assess the learner's mindset journey and your own effectiveness as a coach. A content selection engine chooses what to surface from your Wisdom Base. Sophia, a reflective layer, turns all of this back on you to support your own development. Underneath it all, an AI model layer does the language processing. Understanding how these fit together will help you make better setup decisions — and know why the AI does what it does.
The Live Session Decision Loop
During a live session, WisdomShift listens to the conversation continuously but speaks rarely. It is event-driven, not timed — it does not prompt on a schedule. Instead, it watches the rolling transcript for genuinely significant moments, and only then considers surfacing a single, pointed prompt.
What counts as a moment worth prompting on
- An identity or belief statement — "I'm just not the kind of leader who…"
- Fixed-mindset language, deflection, or blame pointed outward
- Strong or unresolved emotion the learner keeps circling without landing on
- A commitment being made — or a previous one quietly dropped
- A stall — the conversation looping, or the mindset stage not moving
When a moment is detected, WisdomShift applies guardrails before it interrupts you: it respects a minimum gap since the last prompt, limits how many prompts it will surface in any short window, skips anything you've marked as out of scope, and stays quiet if you're already exploring the same thing yourself. Only when all of that clears does it surface one prompt — drawn from your Wisdom Base and phrased in your voice.
Why so sparing: A prompt every few seconds would pull you out of the conversation. WisdomShift is built to earn each interruption — a single, well-timed observation you can act on or dismiss with one click, never a running commentary.
The Mindset Journey Rubric
The Mindset Journey rubric defines the stages a learner moves through in your coaching practice — you configure these in Settings. During each session, WisdomShift analyses the transcript for specific signals and maps them to the stage descriptions you wrote.
Key signals the AI looks for
- How the learner talks about their own identity — "I'm the kind of person who…"
- Whether they are questioning existing beliefs or defending them
- Whether they are moving toward ownership of change or away from it
- The language they use around commitments — "I'll try" vs "I will" vs "I already have"
Setup impact: The more descriptive your stage definitions, the more accurate the placement. A stage defined only by a name gives the AI little to work with. A stage with a description of what someone at that stage actually says and does produces far more reliable assessments.
The Effectiveness Rubric
After each session, WisdomShift scores your performance as a coach across a fixed set of coaching dimensions — alignment to your frameworks, question depth, technique mix, response quality, transformation, alliance, behavioural experimentation, learner sentiment, and challenge quality. Which dimensions count as primary versus background adapts automatically to the session type and intent.
Scores are inferred from what the transcript shows: the types of questions you asked, the balance of speaking time, whether the learner was steered or led, whether commitments were made and owned. The AI does not just count words — it assesses the quality of the conversational moves.
Remember: Scores compound across sessions. A single session is a noisy signal — meaningful patterns emerge across five or more. Use the effectiveness profile as a mirror for your own development, not a verdict on individual sessions.
The Wisdom Base Selection Engine
When WisdomShift needs to surface a live prompt or recommend a resource, it does not pick at random. It scores every candidate item from your Wisdom Base using a three-axis framework called PCS:
Personalised
How well does this item match this specific learner — their role, their patterns, their history with you?
Contextualised
Is this item connected to the frameworks and themes active in this session?
Situationalised
Does it fit the exact conversational moment — the learner's current mindset stage, and the timing and load of the situation (for example, a quieter stretch versus a high-pressure period)?
When items score similarly on PCS, a priority matrix breaks the tie. Items are ranked by their scope (your own IP vs domain knowledge vs external resources) and importance (core to your practice vs supplementary). Your own frameworks and IP always receive the highest priority — not because they are assumed to be better, but because your practice should first sound like you.
History penalty: Items recommended recently receive a scoring penalty so the AI naturally diversifies over time. A chronically over-used item will only be selected if it is clearly the best match for the moment.
Sophia — Your Reflective Second Brain
Everything above is aimed at your learners. Sophia is aimed at you. She is WisdomShift's reflective layer — an AI that reads across all of your sessions, your effectiveness trends, and your Wisdom Base to help you develop as a coach, in the same way you help your learners develop.
Sophia is what powers your Metacognition Profile (the recurring habits and choices in how you coach), your Leader Learning plan, and the Reflect feature you can call on during or after a session. Rather than generic advice, she surfaces patterns you may not have noticed and connects them back to your own frameworks and beliefs.
Because Sophia is grounded in your Wisdom Base and your stated doctrine, her observations are meant to sound like your own best thinking turned back on yourself — not an outside voice telling you how to coach.
A mirror, not a scoreboard: Your dashboards and scores measure what happened in a session; Sophia helps you make sense of it and decide what to work on next. Use her the way your learners use you.
AI Models and Tiers
Wisdom Shift uses AI models for different tasks at different levels of capability:
Time-sensitive tasks during live sessions — tracking the current mindset stage, detecting when a prompt threshold is crossed. Low latency is the priority.
Most post-session analysis — effectiveness scoring, session summaries, mindset journey assessments, and learning recommendations. Balances quality and speed.
The most nuanced tasks where subtlety and depth matter most. Used selectively for the highest-impact outputs.
You can bring your own API keys for OpenAI or Anthropic (Google Gemini support is coming soon). In Settings → API Keys, you choose one provider, then set two models: a Fast model for live, low-latency work, and a Standard model for everything else. The Premium tier currently uses your Standard model.
How Your Setup Shapes Everything
The AI does not improvise from nothing — it works from what you give it. Every configuration choice has downstream effects on output quality:
Learner Roles narrow the context for live prompts — the AI knows who it's prompting for.
Engagement style sets the conversational register — Socratic prompts are structured differently from Challenging ones.
Frameworks inject a lens that the AI applies when deciding whether a moment is worth prompting on.
Mindset Journey stage definitions determine how accurately the AI places learners and detects transitions.
Wisdom Base content is the raw material for all live prompts and recommendations — richer, well-tagged content produces more targeted outputs.
Output templates control the structure and tone of every post-session document — customise them once and benefit every session.
A sparse setup produces generic outputs. A well-curated setup produces outputs that feel like they were written by you.
Ready to configure?
Pre-Session
Prepare context before your session
Missed capturing a call?
PRE-SESSION
WHAT THIS IS: Your starting point for every coaching session. Select who you're coaching, confirm consent, and review what Wisdom Shift knows about this person from previous sessions — including unresolved themes and suggested opening questions.
WHY IT EXISTS: The more context the AI has before a session begins, the more precise and relevant its live prompts will be. Spending 30 seconds here meaningfully improves what surfaces during the conversation.
HOW TO USE IT: Select your learner, confirm consent, check any check-in items from the last session, then click Start Session. If you've set a Today's Focus, it will be injected into every live prompt during the session.
No session credits left — sessions are paused
Your free trial or session credit balance has run out. You still have full access to all past sessions, reports and outputs.
Please contact your workspace administrator to add session credits.
Using:
This looks like a phone or virtual microphone, not the one on your computer. Choose your computer or headset microphone above before you start.
Is this the right learner?
The calendar invite is for , but you're starting a session with .
Session could not start
Consent
All participants have been informed that AI is listening and assisting this session.
Learner
Last session:
New learner — first session will be created
Select a learner to start the session.
Saved — it will be attached to this learner's session.
Last session: — change if needed
Session active — changing this updates the live session immediately
A line or two on the people around this learner — their manager, sponsor, anyone you also coach — lets Wisdom Shift judge safety and challenge against the real stakes.
Learner Consent Record
Consent active ()
Recorded —
No consent record — record consent before starting if required
Consent — re-confirm before proceeding
Record Learner Consent
Group Session
No audiences configured — add one in Settings first.
Outputs will be saved to
Call Type
Collision of Thought session
Collision of Thought sessions save a transcript for your own learning analytics only. No learner records or post-session outputs are created.
Session type
Auto-detected Auto-detectedYour microphone only. The learner is captured just well enough that your mic can hear them through your speakers — on a headset they will not be recorded at all.
When you start, your browser will ask what to share — choose the meeting tab or your whole screen and tick “share audio”. Never pick a single window: windows carry no audio.
Call audio is capturing. Your mic captures you, the call captures the learner, and anything picked up twice is removed automatically.
The learner is not being captured. Screen sharing was cancelled, so only your microphone is recording. You shared a screen but no audio came with it — re-share and tick “share audio”, and pick a tab or your whole screen rather than a single window. Your browser refused the request. Unless you are on speakers loud enough for your mic to hear them, their side of this session will be missing.
Mic only — system audio not used. Speaker diarisation separates your voice from the learner's automatically.
Fix microphone access:
- Open System Settings → Privacy & Security → Microphone
- Make sure Google Chrome is in the list and enabled
- Quit and reopen Chrome, then click "Test mic" again
Captures your microphone only. Use this if browser capture isn't available on your device.
✦ First session with
Check In From Last Session
Threads With
Pre-Session Brief
Personal Goals
achieved · parked
Last Session Recap
Review the most recent session for a client before you dial in next.
SESSION RECAPS
WHAT THIS IS: A curated brief of everything Wisdom Shift knows about a learner — their current Mindset Journey position, key themes from the overall coaching relationship, what needs following up from the last session, and watch-fors for this conversation.
WHY IT EXISTS: Continuity between sessions is one of the most powerful assets in a coaching relationship. This brief gives you a fast, intelligent refresh so you arrive prepared, not catching up.
HOW TO USE IT: Select a client, review the sections that feel most relevant, then head to Pre-Session to start. The more sessions you run, the richer and more accurate this brief becomes.
No clients with session history yet.
Mindset Journey Position
No mindset journey position recorded for this session.
No notes recorded for this area yet.
Today's Focus
Watch-Fors
No notes recorded for this area yet.
Post-Session
Browse, review, and download session outputs
Sessions still open for a debrief
Ordered by most recent. Sessions past 48 hours are already auto-scored and won't appear here.
POST-SESSION
WHAT THIS IS: The complete output of every coaching session — effectiveness assessment, Mindset Journey analysis, session summary, key quotes and questions, next-session check-ins, and a ready-to-send learner email. All generated automatically after each session ends.
WHY IT EXISTS: These outputs close the loop on every session — giving you a documented record, a professional client communication, and a foundation for the next conversation. No report writing, no notes to type up.
HOW TO USE IT: Review each section, copy the learner email and send it, save any quotes or questions that surfaced to your Wisdom Base, and note the check-in items ready for next time. You can regenerate any individual section if the output needs refinement.
Wisdom Shift · Post-Session Output
Post-session pipeline failed
If the session recorded correctly, try clicking Regenerate on the Post-Session tab. If the problem persists, check the server log.
Missed capturing a call? Add it from your notes or a spoken debrief.
No learners found
Move this session to another learner
— . Choose the learner this session was really with, or type a new name.
is a new learner and will be added to your list.
already has a session that day, so this one will show as .
Delete this session?
Permanently deletes 's session on — transcript, outputs, debrief note, and score. This can't be undone.
No session data available yet. Complete a coaching session to see outputs here.
Loading sessions…
No sessions found for this learner.
Outputs pending — awaiting scoring resolution.
Add your debrief note or score from transcript (below) to generate the session summary, email, and assessments.
Transcript found — no pipeline outputs generated yet.
Click Regenerate to generate the full post-session report from the stored transcript.
No outputs found for this session.
The summary has not been written yet — choose Update from my notes.
Your debrief
Your notes
No notes were added with this session.
Session saved — scoring pending
Your transcript is saved. The session summary, email, check-ins, and assessments will be generated once scoring is resolved. Add your debrief note below to include your context in the score, or score directly from the transcript.
Loading context status…
Scored from transcript only. Add a debrief note below to improve framing and scoring.
Scored from transcript only. Add a debrief note below to improve framing and scoring.
Scoring session with context…
Your actions from this session
Session framing
Locked Provisional Frame: transcript only + ContextConfirmed — finishing up scoring…
Your debrief was saved. This updates automatically in a few seconds.
Waiting on your debrief note above — framing and scoring will both pick it up automatically once that's resolved.
Add context before framing this session
AI framing is more accurate when it includes your debrief. Add a brief note about what really mattered in this session first.
No frame suggestion loaded — click Suggest frame to classify this session.
Context confirmed — framing will use transcript + your debrief. Framing improves once you add a debrief note — transcript only until then.
Analysing session — this can take 1–2 minutes for longer sessions…
Session frame
Primary category *
Secondary category (optional)
Session format
Experimentation will be set to Ignore — not a fair measure in group settings.
AI context cues
Framing signals detected in this session
Auto-tagged — click × to remove
Introductory Contact — fixed scoring rubric
Scores Learner Experience Index and Question Depth only. No coaching rubric is applied. No overall effectiveness score is produced.
Success test: did the learner find value, and did the conversation reach enough depth to justify an ongoing coaching engagement?
Trait relevance plan
Include = full weight · Secondary = scored but flagged · Ignore = excluded from aggregate · Fixed = always scored
Lock category, trait plan, and tags to finalise this session's scoring frame.
Framing locked — final scoring will use these settings.
Scoring disabled —
No show / no meaningful conversation
This session was recorded as a no-show. No coaching content, scores, or assessments have been generated. Mindset Journey stage and all session metrics are unchanged.
EPICC Framework Score
EPICC ActiveNo EPICC score for this session. Click "Run EPICC" to generate.
EPICC scoring is not enabled. Enable it in Settings → Frameworks to score this session.
WS detected these quotes, analogies, and reframes from this session. Save the ones worth keeping to your Wisdom Base.
Questions WS identified as particularly effective from this session. Add the ones worth reusing to your Questions Library.
WS detected references to models or frameworks not yet in your knowledge base. Review and add any worth tracking.
Already in your knowledge base:
WS extracted these analogies and metaphors from this session. Save the ones worth reusing into your Analogy Library.
No show / no meaningful conversation
This session was marked as a no-show because the transcript contained no meaningful dialogue. Mindset Journey stage, session scores, and all metrics remain unchanged.
Re-scoring session…
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Not scored
Mindset Journey stage, session scores, and all session metrics remain unchanged from the previous session.
This score reflects the session format, learner stage, and intent used for scoring.
Learner Experience Index
Transformation
ceilingChange & Transformation
Challenge Quality
Key Moment
Carry to Next Session
Full Dimension Scores
Learner's agenda
No agenda was added for this session. If the learner sent one, add it here to see whether it was met.
Agenda check: .
Learner Pulse
Coming soonSend 3 quick questions to your learner — 30-second response, no login needed.
Available once calendar integration is connected — learner email is sourced automatically from the meeting invite.
Ready to send recap
WISDOM BASE
WHAT THIS IS: Your personal coaching library — documents, links, quotes, questions, and analogies that Wisdom Shift draws from when generating live prompts and post-session outputs. Content you add here directly shapes how the AI coaches alongside you.
WHY IT EXISTS: The AI is only as good as the knowledge you give it. The Wisdom Base lets you teach Wisdom Shift your IP, your frameworks, your language, and your philosophy — so every prompt it surfaces sounds like it came from you.
HOW TO USE IT: Upload documents, add links to articles, save powerful quotes and questions. Set the scope on each item — Private to me, My Organisation, or Shared with affiliates — and use the scope filters to control what's visible.
items have no Sophia Brief and won't appear in live session prompts
You have untagged files. Tag them so the AI knows how to use them appropriately.
Priority documents are surfaced first when Wisdom Shift chooses relevant source material. Pin your foundational methodology and doctrine files.
Uploading files
Surfaced first when Wisdom Shift chooses relevant source material
IP Attribution
Scope
No documents yet
Upload PDFs, Word docs, PPTX, or markdown files.
⭐
No priority documents yet
Star your most important methodology or doctrine files so Wisdom Shift surfaces them first.
Indexed:
IP Attribution
Scope
Open any article on LinkedIn → copy the URL from your browser → paste it here. The full article is read and saved to your knowledge base.
No articles yet
Paste any LinkedIn article URL above to add it.
quotes extracted — review and save
Add Quote
Scope
IP Ownership *
No quotes yet
Add quotes manually or import a quote document. WS will also detect memorable quotes from session transcripts.
IP Attribution
Scope
Add Question
Scope
IP Ownership *
No questions yet
Add your most powerful questions. WS will also detect distinctive questions from session transcripts.
IP Attribution
Scope
IP Attribution
Scope
Coaching Stories
Personal experiences, client observations, metaphors, and pivot moments. These anchor your brand and inform live sessions.
No stories yet
Add your first coaching story — a personal experience, client observation, or pivot moment that captures your coaching wisdom. Stories feed your Personal Brand content.
Advice Given
Specific advice you've given across sessions, anchored to context so Wisdom Shift can retrieve the right advice at the right moment.
No advice entries yet
Start capturing the specific advice you give across sessions. Anchor each entry with context tags so Wisdom Shift can retrieve the right advice at the right moment.
Refinement Review Inbox
You have discovered items waiting
Review them to help WS understand what fits your coaching style.
Select one or more past sessions. The Wisdom Miner will analyse the transcripts and surface only the highest-signal quotes, coaching questions, and analogies for your review. Less is more — it returns nothing rather than mediocre content.
No sessions added yet.
Mining complete — items added to the inbox.
💬 quotes · ❓ questions · 🌀 analogies (from sessions)
💬 Discovered Quotes & Reframes ()
Extracted from session
Content type
AI Refinement —
When to use
Follow-up questions
⚠ Similar items found — review before storing
·
❓ Discovered Questions ()
Extracted from session
Content type
AI Refinement —
When to use
Follow-up questions
⚠ Similar items found — review before storing
·
📖 Discovered Stories ()
Coaching Story — extracted from session
💡 Discovered Advice Given ()
Advice Given — extracted from session
🌀 Discovered Analogies & Metaphors ()
Extracted from session
Content type
AI Refinement —
When to use
Follow-up questions
⚠ Similar items found — review before storing
·
discovered models await review in Mental Models.
Nothing pending review
After sessions, WS will surface quotes, questions, and analogies here. Refine each one before storing it in your Wisdom Base.
mental models have no Sophia Brief and won't appear in live session prompts
Open any model and click ✦ Build Sophia Brief to fix this.
Frameworks vs Mental Models
Frameworks (like Transformative Learning or Mind Shifting) define your overall coaching philosophy and approach. They shape HOW you coach — your questioning style, your lens for interpreting learner behaviour, and the structure of your sessions.
Mental Models (like the Pareto Principle or SWOT Analysis) are specific thinking tools that Wisdom Shift can surface during sessions when relevant. They provide concrete models to help learners see situations differently.
Key difference: Frameworks run in the background across every session. Mental Models are surfaced situationally when the conversation calls for them.
⚠️ Every mental model you add here will be considered for use in ALL sessions, ALL post-session analysis, and ALL reflections. Only add models you genuinely want Wisdom Shift to draw on. Quality over quantity — a focused set of 10–20 highly relevant models will perform better than 100+ loosely related ones.
Add Mental Model
No mental models yet. Add your first one above.
Models pending review
No discovered models pending review
Import a PPTX or run sessions — WS will detect models automatically.
⚠ Already in your Wisdom Base ()
These were detected in a session but are already in your Mental Models library. Dismiss or click to enrich the existing entry with the session transcript.
🔁 Extracted multiple times — review once ( groups)
Same model detected across multiple sessions. Keep the best version or dismiss the extras.
✦ New to your Wisdom Base ()
Model Utilisation
How often each model appears in your session signals.
uses
rate
avg ALN
Model Review
This review takes about 2 minutes and helps you understand how this model is showing up in your practice.
Describe your alternative approach:
Review saved
Your alternative approach has been added to Discovered Models for review.
Add Book
Scope
IP Ownership *
No books yet. Add your first one above.
These prompts are the brain of your AI coaching assistant. The quality of what Wisdom Shift generates depends directly on how thoughtful and detailed your prompts are. Take time to craft them carefully, use the 'Refine with AI' feature, and revisit them regularly as your coaching evolves.
New Template
Understanding to Review
These are prompts that appeared in the Live Session window that were either marked "didn't fit" or were never acted on. They will generally become quotes in your Wisdom Base. Add context before storing — tell Sophia when this is powerful: what the learner is feeling, saying, or struggling with when this lands.
Loading…
Nothing to review
When leaders flag artefacts as 'didn't fit', they'll appear here.
Leader's note
Transcript context
Sophia's understanding of when and how to use this. Stored as her live session instruction — refine freely.
Wisdom Base Review
Curate, confirm, and calibrate WS's understanding. This is the one place for ongoing Wisdom Base maintenance.
Items surfaced from recent sessions — quick inbox mode. Store what's worth keeping, dismiss the rest.
Quotes
⚠ Similar to existing: ""
Questions
⚠ Similar to existing: ""
Analogies
⚠ Similar to existing: ""
Mental Models
⚠ Already in your Wisdom Base ( entries, mentions)
Grouped by the WB entry they match. Sophia found these mentioned across multiple sessions. Enrich the entry with the best session, or dismiss all mentions.
Separated for individual review
✦ New to your Wisdom Base
Nothing new to review.
Discovered items from sessions will appear here.
These are prompts that appeared in the Live Session window that were either marked "didn't fit" or were never acted on. They will generally become questions in your Wisdom Base. Add context before storing — tell Sophia when this is powerful: what the learner is feeling, saying, or struggling with when this lands. That context feeds into live sessions so Sophia knows when to surface it.
Loading…
Nothing to review.
Flagged artefacts will appear here.
Sophia is reading the KB and preparing context…
Leader's note
Transcript context
Sophia's understanding of when and how to use this. Stored as her live session instruction — refine freely.
Items without a Sophia Brief won't be used in live session prompts or anywhere Sophia surfaces wisdom. Build a brief by answering a few quick questions about how you use each item.
All items have Sophia Briefs.
The live session AI knows when and how to deploy everything in your Wisdom Base.
Sophia has been reading your session transcripts. These are things she thinks she's learned about how you use specific WB items — she's checking with you before adding them to her understanding.
Sophia is writing her insight…
What Sophia would add
No calibration due.
WS will generate a weekly calibration session to check your model usage. Check back later.
Does WS understand how you use these? Quick check — improves live session recommendations.
All done — calibration saved. ✓
WS will apply your feedback to scoring from the next session.
🔬 WS Meta-Review
Runs a deep quality and logic review of how WS thinks across three areas: live session prompting, post-session recommendations, and leader effectiveness scoring. The review analyses WS's current system prompts, timing parameters, pipeline logic, and configuration — then surfaces failure modes and concrete improvements.
Takes 60–90 seconds. Uses a full LLM call — run periodically, not after every session.
Review Output
🧠 Wisdom Base Understanding Audit
Runs an LLM pass over every item in the Wisdom Base to audit how WS understands each one — tagging core ideas, doctrine, topics, and coaching moments. Then tests ranking quality across 25 representative coaching situations. Use this to verify system content is winning tiebreaks and variety is working.
Takes 2–5 minutes for a full audit. Re-run after adding new content. Use force-mode to re-audit items already indexed.
✦ Sophia Briefs
Sophia Briefs tell the live session AI exactly when and how to deploy each item. Items without a brief are deprioritised in live prompts.
✦ Understanding interviews
Click any type to open that list with "Needs interview" pre-selected.
Audit Summary
Items audited
Already indexed (skipped)
Errors
Ranking Test — 25 Situations
— no matches
⚠ External content outranked system content
🔒 Session Trust Scan
Scans all historical sessions and checks each transcript for meaningful content.
Sessions with no real dialogue (e.g. no-shows, audio dropouts) are flagged with
session_quality = "empty"
in their session record — preventing misleading post-session outputs from appearing
in dashboards. Run once to audit existing sessions. New sessions are assessed automatically.
Runs locally — no LLM calls. Takes a few seconds.
Scan Results
Flagged sessions:
Refine with AI
Inactive — will be skipped in post-session pipeline
Options
Example Prompt (read-only reference)
Your Prompt
My Reading
Books recommended based on your session patterns and development areas
MY READING
WHAT THIS IS: AI-curated book recommendations personalised to your coaching practice, session patterns, and development areas. Wisdom Shift analyses your sessions and suggests books that would deepen your capability in the areas where you're most active — or where patterns suggest a development edge.
WHY IT EXISTS: Great coaches read. This section turns your session data into a personalised professional reading list, so your development stays connected to your real work rather than being generic self-improvement.
HOW TO USE IT: Click "Discover New Books" to generate fresh recommendations based on recent sessions. Tag books as Reading, Completed, or Re-Read to track your progress. Add personal picks manually for books you want to remember or revisit.
Finding personalised books for you…
📚
No recommendations yet
Run a session or click "Discover New Books" to get started.
Why you should read this
Add a book to your library
If search doesn't find your book (new releases, self-published, private links), use "add by link" below.
AI will extract the title, author, and description from the page. You can edit everything before saving.
Select the correct book:
cover
My Learners
Toggle visibility to show or hide learners across all dropdowns in the app. Use Merge to combine duplicate records.
MY LEARNERS
WHAT THIS IS: Your complete list of learners — everyone you've coached through Wisdom Shift. Each entry shows how many sessions you've had, the average time between sessions, their current Mindset Journey stage, and their assigned audience role.
WHY IT EXISTS: Managing your roster keeps the app clean and ensures the right people appear in dropdowns. Hidden learners are archived rather than deleted — you can restore them at any time.
HOW TO USE IT: Toggle visibility to hide inactive clients from session dropdowns. Use Merge to combine duplicate records created by name variations. The Visible toggle does not delete any data. Assign a role to each learner so the AI knows which audience profile to use.
| Learner ▲▼ | Stage ▲▼ | # ▲▼ | Last seen ▲▼ | Company ▲▼ | Dept ▲▼ | Actions |
|---|---|---|---|---|---|---|
|
|
not set
|
$refs['coInput_' + rec.learner_id]?.focus())"
class="flex items-center gap-1.5 cursor-pointer group min-w-0"
:title="rec.company_source && rec.company_source !== 'manual' ? 'Auto-detected from ' + rec.company_source.replace(/_/g,' ') + ' — click to edit' : ''">
|
|
|
||
| No visible learners. | ||||||
| Learner | Stage | # | Last seen | Company | Dept | Actions |
|---|---|---|---|---|---|---|
| — |
|
Merge learners
Both learners' sessions, scores, notes and history are combined under the preferred name. Sessions on the same date are both kept. You'll see exactly what will change before anything moves.
session(s) will move to .
Same date — kept as
learner notes/history records combined.
Individual Dashboard
Session history and Mindset Journey progress for a single learner.
INDIVIDUAL DASHBOARD
WHAT THIS IS: A longitudinal view of a single learner's journey — total sessions, session cadence, their current Mindset Journey stage, and a visual timeline showing how their stage has evolved over time.
WHY IT EXISTS: Patterns that are invisible in a single session become visible across multiple sessions. This view helps you see whether a learner is progressing, plateauing, or regressing — and informs your pre-session preparation.
HOW TO USE IT: Select a learner to load their data. Use "Regenerate session outputs" to re-run the post-session pipeline on a specific date if the analysis needs refreshing. Review the Mindset Journey timeline to see stage progression at a glance.
Used in the email greeting. Leave empty to use their first name.
Stored for dashboard context and used as supplemental background in learner insights. Not used to directly score traits or force stage classification.
Loading…
—
Mindset Journey Timeline
Individual session stages — not the current learner arc
| Date | Stage | Overall |
|---|---|---|
Stage source
Learner stage synthesised from session history + coach context
Method: one-level upgrade applied — individual sessions remain at their scored stage
Scored sessions: · Arc stage:
What may be keeping them here
Coach context considered
Stage updated ✓
Goals and Commitments
Top Goals
-
Evidence from session
Status is inferred from conversation, not tracked via explicit checkboxes. Click a goal to see session evidence.
No commitments extracted yet
Goals and commitments are extracted automatically after sessions are scored. If you've completed recent sessions with , try regenerating the session outputs above.
Recent strengths
Based on 's last sessions.
Recent growth opportunities
Where can lean in next.
Group Dashboard
See where a cohort is in the Mindset Journey.
GROUP DASHBOARD
WHAT THIS IS: A cohort-level view of where multiple learners sit in the Mindset Journey simultaneously. Select any combination of learners to see their relative positions on a single chart.
WHY IT EXISTS: When you're coaching a team or a cohort, knowing where everyone is in the journey helps you make programme-level decisions — who needs more individual attention, who is clustering at a particular stage, and where the group is moving as a whole.
HOW TO USE IT: Use "Add learner" to select the people you want to compare, then click "Update chart". For 10 or fewer learners you'll see individual names; for larger groups, it switches to a stage count view. Click any number to see which learners are in that stage.
Select learners above to see where they are in the Mindset Journey.
More than 10 learners selected — showing counts only. Click a number to see names.
Group insights
What this group is doing well
Based on the last 5 sessions for each learner in this group.
Where this group can collectively improve
Based on the last 5 sessions for each learner in this group.
What Great Looks Like
How the scoring engine works, what it looks for, and what the numbers actually mean at every level — dimension, session, and holistic average.
Every session score is the output of a six-step reasoning chain. Understanding each step helps you understand why context framing isn't optional — it's the difference between the engine seeing a coaching session and seeing a transcript.
Session Intelligence Read
Before any scoring begins, the engine reads your context note, prior session summary, learner stage history, coach context, and delivery mode. This is where it forms its intent model — what kind of session was this meant to be?
Session Frame Classification
The engine identifies the primary frame (e.g. Identity/Growth, Strategic/Advisory, Performance/Standards). This determines which dimensions are weighted as primary, secondary, or background — so a Performance session isn't judged the same way as an Identity breakthrough session.
⚠️ If you skip frame tagging, the engine defaults to a generic weighting that may penalise dimensions that shouldn't apply — and miss giving credit where it's due.
Phase 1 Reasoning — Session Type, Coaching Model & Discomfort
Before looking at any rubric, the engine reasons about what coaching model was in play, whether good discomfort was present, and what the session's actual developmental intent was. This phase determines the calibration multipliers applied in Phase 2 — a high-challenge session gets different treatment than a supportive processing one.
Dimension Scoring Against Rubric
Each in-scope dimension is scored 0–10 against an evidence-based rubric anchored to the transcript. The engine looks for specific observable behaviours — question structure, reframe quality, identity language, alliance signals. It can only score what it can see. Silence, listening, and invisible rapport are real coaching — but they don't score unless evidenced in speech.
🔑 The single biggest scoring lever: a rich, clear transcript and a detailed context note. The engine is not guessing — it is reading evidence. Give it more to read.
Learner Stage & Identity Shifting Calibration
Scores are recalibrated for where the learner actually is on their journey. A Transformation score of 7 means something very different for a learner in Guarded stage vs one in Identity Shifting. The engine applies stage-aware floors and multipliers so early-stage breakthroughs are valued appropriately.
Weighted Session Score
In-scope dimensions are averaged with 1.5× weight on primary dimensions and 0.5× on background ones. The result is the session overall score. CHQ and SENT are scored separately and always shown — but only SENT is kept outside the overall average as a standalone index.
Bottom line on context framing
A session where you did exceptional work but filed no context note, no frame, and had a patchy transcript will score 1–2 points below its true level. A mediocre session that is richly contextualised will score at its ceiling. Context framing isn't administrative — it's the primary input to the intelligence layer.
Each dimension is scored 0–10 per session. Here's what the engine is looking for at each band — and where a consistently great coach should expect to land.
Absent or significantly underdeveloped
The dimension is either not present or the evidence is too thin to score meaningfully. Common causes: very short session, social call incorrectly typed as coaching, transcript not captured, or a genuine miss in that dimension.
Developing — evident but inconsistent
The dimension shows up in patches. Some good moments but also missed opportunities, surface-level engagement, or technique applied without clear effect. Is this a skill gap, a context mismatch, or a transcript issue?
Competent — working, but gaps visible
Solid coaching is present. The dimension is engaged and generally effective, but the engine found moments where technique was partial, the question didn't land at depth, or an opportunity was seen but not taken. This is the honest floor for a practising coach.
Strong — evidence-based, effective coaching
The dimension is clearly working. Questions are precise, techniques are contextually chosen, the learner is visibly moved. Minor gaps exist but they're not meaningful misses — they're in the texture, not the structure.
Great coach's home base
TARGETThis is where consistently excellent coaching lives. Questions probe at identity, not just behaviour. Alliance is evidenced by learner vulnerability. Technique is varied and chosen with intent. The engine finds consistent, compelling evidence with only small gaps. Most sessions for a coach at this level should land here most of the time.
Exceptional — standout performance in this dimension
The engine found rich, compelling evidence with almost no meaningful gaps. This dimension was a genuine strength of the session — actively driving the outcome. Expect to see this occasionally (5–10% of sessions) in your strongest dimensions like Alliance or Question Depth when everything aligned.
Unicorn territory
🦄The dimension was operating at an extraordinary level. For Alliance: the learner went somewhere deeply personal and the transcript captures both the risk and the safety. For Transformation: a genuine, visible, unprompted shift occurred and the learner named it themselves. These scores exist — but they're rare even for elite coaches.
Dimension-specific notes
Experimentation has structural drag in group sessions and early-stage learners — a 6–7 here is strong. The engine softens expectations when the context doesn't naturally produce commitments.
Transformation is measured relative to the learner's stage. A 7 for a Guarded-stage learner represents a very different achievement than a 7 for someone in Embodying.
Alliance is the dimension most likely to reach 8–9 for an experienced relational coach. High trust is evidenced by learner vulnerability, personal disclosure, and explicit trust signals in the transcript.
Learner Experience Index is a standalone index — not included in the session overall. It measures how the session felt to the learner. Track it separately as a relational health indicator.
Challenge Quality is always scored regardless of frame. It captures whether good discomfort was introduced with skill — not just whether challenge occurred, but whether it landed cleanly and produced movement.
The session overall is a weighted average across all in-scope dimensions. Because it's already an average, it's harder to score high — one weaker dimension pulls the whole session down.
Every dimension fired. The transcript is rich, the framing is precise, the learner had a visible breakthrough, and the coaching technique matched every moment. These sessions exist — you'll know when one happened.
Outstanding. When you have one of these, review it — understand what you did differently. Expect a handful per quarter for a coach operating at the top of their game.
This is where great coaching practice lives. A consistent 7.0–7.5 means every dimension is working and the session delivered genuine value. If this is your consistent home base across a full client roster, you are in the top tier of practitioners.
Solid coaching with clear evidence of skill. The engine identified one or two dimensions with meaningful gaps — a question that stayed at behaviour, an opportunity for reframe that wasn't taken. Worth reflecting on but not concerning.
Competent coaching with gaps the engine could see clearly. Before treating this as a skill reading, check: was the transcript thin? Was there no context note? Was the session mislabelled?
Sub-5 almost always means the session was a scheduling call or social interaction scored as coaching — or the transcript was too short. Retag using the Edit button before drawing any conclusions.
Your holistic average is the mean session score across all scored sessions — and it's the hardest number to move. It captures your floor, your consistency, and your range, not just your ceiling.
Why the holistic average is the real test
It includes your Guarded-stage learners, not just your Identity Shifting ones
It includes your off days, not just your best sessions
It spans every frame — operational, identity, performance, support — so you can't inflate it by staying in your comfort zone
Volume compounds it — 100 sessions at 7.5 is a coaching practice, not a good run
Sub-6.0
Developing practice
Coaching is present but consistency is the gap. Address data quality before treating as a skill reading.
6.0 – 6.5
Good — solid across the board
Consistently good coaching. Some dimensions or frames are dragging — use the Frame × Dimension matrix to identify where.
6.5 – 7.0
Excellent — upper quartile
Strong, consistent coaching across a varied client roster. Most experienced coaches land here across a real-world client mix.
7.0 – 7.3
ELITEElite — top-tier coaching practice
Across 50+ diverse sessions this is genuinely top-tier. Consistency is the differentiator — this is where the best practitioners in a serious coaching practice tend to cluster.
7.3 – 7.6
World-class
Rare. Sustained across 50+ sessions with genuine frame diversity, this would put you in the top few percent of practitioners measured at this depth.
7.6+
🦄Unicorn average
Sustained across 100+ sessions with a diverse client mix, the engine is telling you that you're operating at a level that is objectively rare. The floor determines the holistic average — not the ceiling.
Your effectiveness profile may need recalibration — you've had
new sessions since your last calibration.
MY LEADING EFFECTIVENESS
WHAT THIS IS: A multi-dimensional view of your coaching effectiveness scored across eight dimensions — drawn from your actual session transcripts. Scores are context-aware, meaning a 1:1 coaching session and a group facilitation are scored against different expectations.
WHY IT EXISTS: Self-assessment is subjective and often inaccurate. This scoring model gives you an objective, evidence-based picture of how you're actually performing — pattern by pattern, session by session — so you can invest your development effort where it will have the most impact.
HOW TO USE IT: Review your Learning and Performance scores, filter by session type, and explore the session timeline to see how dimensions move over time. Use Recalibrate when you've run enough new sessions that your benchmarks need updating.
My Leading Effectiveness
Analyse your session transcripts to surface patterns and trends.
Scores are context-aware — a low score in a session format you rarely use will not automatically become a development focus.
Effectiveness Matrix
— click a row to filter the Session Timeline—
No scored sessions
Analysis Settings
Suggest recalibration after this many new sessions since the last calibration run.
My Leading and Teaching Style
No leading and teaching style profile yet.
Auto-generated after each session. Completes a few seconds after the post-session pipeline finishes.
Tone
- •
Language Register
- •
Questioning Style
- •
Observable Patterns
- •
Preferred Framings
- •
Avoids
We couldn't refresh your profile
Something went wrong while running analysis. Please try again.
No profile yet
We'll generate your effectiveness profile after your first analysed session.
Scores are based on fewer sessions than your configured minimum of sessions. Results will become more reliable as more sessions are analysed.
·
Performance mode — these sessions score professional conduct and delivery standards, not coaching or learning effectiveness. The scores use a separate rubric and are not directly comparable to Learning · Leading results.
Leading Profile Summary
Average across all sessions in this mode — not a single-session result. Descriptions reflect patterns, not individual sessions.
No sessions in this category yet.
Leading Profile — aggregate average
— /10
Hover a bar for details
What you're doing well
Strength themes will appear here after your next analysis.
Use ↻ Re-run in the top-right to generate now.
Where you can level up
Development themes will appear here after your next analysis.
Use ↻ Re-run in the top-right to generate now.
My Session Timeline
Use Edit / Ignore on any session to exclude it from your effectiveness scores.
All tags applied. Create more in Settings → Session Tags.
General session — no effectiveness scores recorded.
Engagement only — no coaching rubric
General / other session — Learner Experience and Challenge Quality only. No coaching rubric applied.
Introductory contact — did the learner find value, and did the dialogue reach enough depth to justify an ongoing engagement?
Reflection / Debrief — scored on Question Depth, Response Quality, and Alliance only.
Dimension notes
Session note
Session observations
•
Suggestions from this session
→
No sessions yet
Session scores will appear here once your first session analysis runs.
Edit session type
Session type
Collision of Thought — no coaching effectiveness scores generated. Transcript saved for your own analytics only.
Reflection / Debrief — scored on Question Depth, Response Quality, and Alliance only. LEX and CHQ are still measured as standalone indicators.
Include these dimensions in scoring
The overall score will be recalculated from checked dimensions only.
My role in this session
Facilitating sessions are tracked separately on the dashboard.
Ignore this session in effectiveness analytics
Reason (required)
Teach the model
Teaching example saved
This session has been re-scored and the correction will influence future scoring in this domain.
Optional. A strong hint to the model — not an override.
Ignore sessions in effectiveness analysis
Ignored sessions stay in your history but are excluded from scores, trends, and your style profile.
Tick test or unusual sessions you don't want included.
Leader Learning
Each month, choose one focus area. Each week, pick a small, observable learning goal and complete 1–3 targeted activities to improve how you lead and teach.
LEADER LEARNING
WHAT THIS IS: Your structured professional development cycle — a monthly focus area broken into weekly goals and specific activities. The Teaching Loop identifies the gap between what you believe good coaching looks like and what your session transcripts show you actually doing.
WHY IT EXISTS: Most coaches develop through reflection and feedback. This section automates that process — surfacing patterns from your real sessions, suggesting targeted development activities, and tracking progress through Collision of Thought conversations and calibration sessions.
HOW TO USE IT: Review your Teaching Loop reflection, pick a monthly focus area, select a weekly goal, and complete the suggested activities. Use the Wisdom Calibration section to confirm that Wisdom Shift understands how you use key tools in practice.
My daily, weekly, monthly and quarterly insights
Today
No check-in yet.
This week
No weekly analysis yet.
- ●
Belief–behaviour tension
- →
Reflect
This month
No monthly review yet.
Strengths
- ●
Growth edges
- ●
Quarterly perspective
No quarterly data yet.
Self-assessment needed to generate the full quarterly narrative.
- →
Recommended focus for your learning
Based on your recent sessions, we recommend you focus on: .
This section gives you specific things to do — sessions, readings, and experiments — to grow this focus. Complete them, then check your understanding to close the cycle.
If you'd prefer a different focus:
Step 1: Confirm or choose this month's focus.
Step 2: Set this week's learning goal.
We'll track that you chose your own focus so we can compare outcomes later.
This week's learning goal
You committed to complete this by . You are now days overdue.
You can't start a new weekly goal until you've completed or closed this one.
You've been away for a while — are you still working on this goal?
Complete
Sophia assessing…
Detected in sessions
Share your progress with Sophia
Sophia is watching your sessions for evidence of these activities
Due
Once you've completed these activities, let's explore what you've really taken from them.
No weekly goal set
Set a small, observable goal for this week tied to your current focus area.
This month's learning goal
You committed to complete this by . You are now days overdue.
You can't start a new monthly goal until you've completed or closed this one.
You've been away for a while — are you still working on this goal?
Complete
Sophia assessing…
Detected in sessions
Share your progress with Sophia
Sophia is watching your sessions for evidence of these activities
Due
Once you've completed these activities, let's explore what you've really taken from them.
No monthly goal set
Choose a focus area and set a deeper development goal for this month.
Estimated time:
Source
— Source unattributed (user-added to Wisdom Base)
— Analogy origin unattributed (Wisdom Base)
Book
Context for you
What this activity is
What this should challenge in you
If you engage properly with this, you should be able to…
Step-by-step plan
How to apply in your sessions
Prompts for deeper reflection
Learning state
Sophia has reviewed evidence of your use. Check the weekly Sophia report for her assessment.
✓ Learning transfer confirmed and complete.
After using this — answer these
Sophia will scan your session transcripts for evidence of use. Your written reflection gives her additional context to assess your understanding.
What Sophia watches for
Sophia will scan your session transcripts and weekly synthesis for these signals as evidence of learning transfer.
- ·
Past Cycles
You focused on . We rated your understanding as .
Learning Dashboard
No completed goals yet — data will appear here once you close your first goal.
Goals closed
Learning impact — % of closed goals by rating
Learning type effectiveness
% of goals closed with "significant improvement" rating that included this activity type. Sophia uses this to recommend formats that work for you.
Before you close this goal…
Your answer helps Sophia understand what's working for you.
How much did this goal improve your understanding?
Explore your understanding
We'll ask you a few questions to see how clearly you understand this idea. You can speak or type your answers, but we recommend speaking first.
Our take on your understanding
Spoken answer recorded.
This answer was typed, not spoken.
Metacognition Profile
This is not a performance report. It is an examination of how you think — what you believe about change, what assumptions shape your coaching, which identity patterns you protect, and where your thinking is maturing or constrained.
Extracting metacognitive signals…
Patterns will appear once extraction and synthesis complete. You can navigate away and come back.
Not enough sessions analysed yet
No metacognitive patterns yet
Metacognitive extraction goes below your visible moves to identify the beliefs, assumptions, and identity logic shaping how you coach.
Analysis ran — no patterns identified yet
Sessions may lack transcript or summary artefacts. Run more full sessions and try again.
Runs in the background — takes 2–4 minutes.
Reflect with Sophia
Sophia starts from your synthesis and evolution profile to help you examine your assumptions, identity patterns, blind spots, and developmental edges. Wisdom Base concepts are used only as secondary support.
This conversation is about your thinking
Sophia will engage with:
✓ Your metacognitive patterns and recurring assumptions
✓ Your coaching philosophy and theory of change
✓
✓ Your identity as a coach — what you protect, what you avoid
✓ Your evolution as a thinker across time
✓ Spiritual or existential dimensions you raise yourself
Sophia will redirect:
✕ Questions unrelated to your coaching thinking
✕ Technical, news, or off-topic questions
✕ Generic coaching advice not grounded in your patterns
Explore your assumptions, identity patterns, and developmental edges as a coach.
Sophia starts from your synthesis and evolution profile, then draws on supporting concepts only where helpful.
⌘↩ to send
· Updated ·
Sitting with these
Your thinking patterns
— belief, assumption, and identity analysis beneath the visible behaviour
The pattern
The assumption underneath
What this says about your beliefs and identity
The consequence of this way of thinking
Question to sit with
Your reflection (optional)
Evolution of Mind
How your worldview, meaning-making, emotional tolerance, and doctrine use have shifted across time.
Comparing across time windows…
Not enough data for longitudinal comparison yet.
Requires sessions across at least 2 time windows (minimum 5 per window).
The arc of your mind
·
Strengthening
Nothing detected yet
Weakening
Nothing detected yet
Emerging
Nothing detected yet
Shifted
Nothing detected yet
Shifts in orientation
Collision of Thought
Recorded peer conversations where two perspectives collide. Link each one to a learning goal to mark your CoT activity as complete.
COLLISION OF THOUGHT
WHAT THIS IS: A record of peer conversations you've recorded under the Collision of Thought session type — structured discussions where two people bring different perspectives and push each other's thinking. These sessions are analysed separately from coaching sessions.
WHY IT EXISTS: Collision of Thought is a specific learning activity in the Leader Learning framework. Recording and analysing these conversations lets Wisdom Shift surface the tensions, shifts, and questions that emerged — and links the conversation to a specific learning goal.
HOW TO USE IT: Start a CoT session from Pre-Session, selecting "Collision of Thought" as your session type. Once recorded and analysed, link each session to the learning goal it belongs to. Sessions marked as Linked count towards your learning goal completion.
💥
No Collision of Thought sessions yet
Start one from Pre-Session — select Collision of Thought as your session type. These conversations are tracked separately and linked to your learning goals.
Summary
Key tensions surfaced
- ◆
Perspective shifts
- →
Questions worth keeping
Recommended next step
✓ Linked to a learning goal
Not yet linked to a learning goal.
Link to a learning goal
Linking counts this CoT session toward your goal and can auto-complete a CoT activity in that goal.
No active learning goals. Start a weekly or monthly goal first.
Learner Journey
Track each learner's progress over time — mindset stage shifts, session scores, and framework-guided suggestions.
🗺
Select a learner to view their journey
Choose a learner from the dropdown above to see their stage progression, session timeline, and a framework-guided suggestion.
Learner Score
Composite measure of learner progress — learner experience, transformation, and stage change.
LEX avg
TRN avg
Stage change
Stage Progression
No stage data yet — sessions need to be scored to populate stage progression.
Framework-guided suggestion
Session Notes
Session Timeline
No scored sessions found for this learner.
LEX
Overall
Tag Report
Compare effectiveness across session tags.
No tagged sessions yet
Add tags to sessions in Leader Effectiveness to see this report.
Select a tag above to see its dimension breakdown
· –
avg score
Session type comparison
Average overall score by tag — see where you excel and where to focus
Models used
Which models you use, how often, when, and with whom — recorded from every session.
added since these sessions were scanned ().
Nothing recorded yet — the models used are recorded automatically after each session.
Sessions
Models used
Learners
Companies
· (not counted while the switch is off)
No models recorded for this selection.
·
sessions
of all
learners
Parts of the model seen in these sessions
Not used in this selection:
Rarely named, and one sign of them looks like ordinary good coaching: . Sophia counts these without their name only when two or more of their parts are clearly at work; anything less sure is under “To review”.
Cannot be told apart from good coaching in general, so counted only when named: .
Sophia has not yet studied your models, so only named uses are counted. Open “How Sophia recognises each model” and choose “Rebuild model understanding”.
Sessions per month in which each model was used (the most-used models, or the ones you have selected).
| Model | |
|---|---|
| All sessions |
Company names by email domain
A learner's company comes from their email address. The display name is what your reports and the client view show — leave it empty to show the company name as it is. Give two domains the same company name to treat them as one company.
Add their email or company in the learner's details (Those I'm Teaching → the learner).
Choose a company above to see just its leaders.
No sessions for this selection.
Showing the most recent sessions — narrow the dates to see earlier ones.
For each model with steps or stages: which steps showed up in your sessions, and where the conversation stopped. Built from what Sophia already recorded for each session — for your own development; it is never shown in a client view. Dates and learner above apply; company does not.
None of your models has steps Sophia knows about yet. Open “How Sophia recognises each model” to build them.
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Only the steps were recorded for this session, not where they happened.
Showing the most recent sessions — narrow the dates to see earlier ones.
Sophia saw one sign of a model here but not enough to be sure, so it is not counted. Confirm it and it is counted from now on; say it is not this model and it will not be suggested for that session again.
Nothing to review.
For each model: its parts, what is particular to each, and what is not the model. This is what Sophia looks for when a model is used without being named. Correct anything that is not right — your changes are kept even when the understanding is rebuilt.
Loading…
Edited by you not built yet
Sophia has not studied this model yet. Use “Rebuild model understanding” above.
Other frameworks mentioned that are not in your Wisdom Base
These are not counted above. Add one to your Mental Models and it will be counted — past sessions can then be re-scanned for it.
Coach Profile
Verified by
Wisdom Shift
Real session data · Continuously updated
Coaching Sessions
Hours Coached
Learners Coached
Multi-session Return Rate
ICF Core Competency Scorecard
Evidence-based metrics mapped to ICF Core Competencies (2019 model) · Last 90 days · sessions
Consistency Index
Percentage of all sessions meeting quality thresholds
Sessions rated Strong or above (6.5+)
Sessions rated Excellent (8.0+)
Across all scored sessions ·
Practice Signature
Where this coach creates the most impact
Avg session length
Return for 3+ sessions
Growth Trajectory
8-session rolling average · · scored sessions
Current average
Learner Voice
Real comments from coaching clients, extracted verbatim from live sessions — not surveys, not testimonials
These are real, unedited statements made by coaching clients during live sessions, captured and verified by Wisdom Shift AI
No quotes selected yet.
Publish your profile
Share a live read-only view · Embed on your website · Add to your ICF profile
Your public profile link
ICF Profile
Paste this link into the website field on your ICF coach directory profile
Your website
Add an iframe or use the HTML download to embed as a page on your own site
Prospective clients
Share the link directly — they see a live, data-verified coaching profile
Link is public — anyone with it can view your profile · No login required
This profile is generated from verified session data by Wisdom Shift · Data updated after each session ·
Select quotes to display
Choose up to 20 —
My Dashboard
12‑month rolling view of your 8 effectiveness dimensions. Scores are adjusted for session format, learner stage, and intent — 1:1, group, and facilitation sessions are judged against different expectations.
MY DASHBOARD
WHAT THIS IS: A 12-month rolling chart of your coaching effectiveness across 8 dimensions, plus an activity summary showing who you're coaching, how often, and how your learners are progressing through the Mindset Journey.
WHY IT EXISTS: Your most important coaching metric is not any single session — it's the pattern across many sessions. This dashboard makes that pattern visible so you can see where you're growing, where you're plateauing, and where your coaching practice is heading.
HOW TO USE IT: Use the session type filter buttons to isolate 1:1 vs group sessions. Hover over the dimension legend for explanations of each score. Use the time-range filter at the bottom to zoom in on specific periods of your practice.
No data yet
Score some sessions in My Leading Effectiveness and the trends will appear here.
Sessions
Active Learners
in this period
Avg Effectiveness
—
learning sessions /10
Session Hours
hours in this period
Learning Transfer
Cycle follow-through
Assigned
cycles
Completed
total
On time
completed
Completed late
after due date
Avg days late
when late
Understanding elevation (Sophia assessed)
Activities accepted
committed
Task completed
Gate 1
Understanding elevated
Gate 2
Elevation rate
of completed
/ 10 avg
sessions
Click a column header to rank dimensions by that frame · click a row header to rank frames by that dimension · click Total to reset
|
|
↕ | Total ↕ |
|---|---|---|
| — | ||
| Total ↕ |
Activity Summary
Who I'm Coaching
Collision of Thought
Sessions this period
Goal Follow-Through
Activities completed vs outstanding
Session Types
Learning Sessions (scored)
Coaching & development sessions
out of 10
Performance Sessions
Performance & outcomes sessions
out of 10
No activity data for this period.
Coach Persona
A structured interview that captures your coaching identity and track record. Your answers power the Brand Content generator and help Wisdom Shift sound like you.
Completion
Generated Persona Summary
LockedCoaching Identity
Your Track Record
Used in your Profile Card — answers power the credibility layerBrand Content
Generated from your Persona profile, Wisdom Base Stories, and Advice Given. All content is private by default — edit freely before using it.
No bios generated yet
Click Generate All and Wisdom Shift will write your bios and positioning statement from your coaching IP. (Article ideas live in the Articles section below.)
Complete at least one Persona question, then click Generate All to write your bios and positioning statement.
loadPersona())" href="#" class="underline">Complete your Persona first →
Short Bio
~50 words · first person · for social media profiles and quick introductions
Edited — saved automatically
Medium Bio
~150 words · for website About pages, proposals, and speaker profiles
Edited — saved automatically
Positioning Statement
I help [who] achieve [what] by [how] — the single sentence that defines your market position
My Profile Brochure
Generate a stunning one-page visual profile from your locked persona summary. Download as PDF to share or publish.
You need a locked persona summary first.
loadPersona())" href="#" class="text-violet-500 underline text-xs mt-1 block">Go to Coach Persona →Choose a template style
No profile photo uploaded — brochure will show a placeholder. Add a photo in About Me →
Opens in a new tab · use browser Print → Save as PDF to download
Quote Cards
Turn a kept learner quote into a shareable image for LinkedIn or Instagram. All names and companies are anonymised automatically — your frameworks are kept.
No kept quotes yet. Curate some in loadQuoteCuration())" href="#" class="text-violet-500 underline">Learner Quotes first.
1080×1080 · ready for Instagram & LinkedIn
Articles
Wisdom Shift reads your beliefs, advice, stories and real client outcomes and suggests article ideas in your voice — then writes the one you pick. It won't repeat what you've already used.
Your article — edit freely
Stories
Wisdom Shift finds patterns across your recent sessions — where several leaders did the same thing — and writes them as short, anonymous first-person social proof, ready to post.
Click "Find my stories" — it scans your recent sessions for common threads across several leaders.
✨ Ask Sophia
Ask Sophia to surface something you haven't noticed across your sessions — a pattern or blind spot worth sharing. Ask anything, or use the default.
Edit freely
Learner Quotes
Curate real client quotes from your sessions into a set worth showing. This is separate from Brand Content — it feeds your ICF Dashboard and profile, not publishable output.
Learner Quotes
Real client comments captured from live sessions. Set rules for what's worth keeping — Wisdom Shift auto-keeps strong matches, surfaces borderline ones for you, and learns from every keep/reject.
Your keeper rules
Describe the kinds of quotes worth keeping, in your own words — e.g. "Learner praises me or my frameworks", "Learner talks about embracing discomfort".
No rules yet — add one below and Wisdom Shift will learn what you like.
Needs your review ·
""
Kept · shown on your profile ·
Nothing kept yet. Add rules and Scan sessions, or keep quotes from the review list above.
""
""
My Identity & Beliefs
How closely does your actual behaviour align with the identity your frameworks call you into?
This runs in the background — you can navigate anywhere else in Wisdom Shift and come back in 5–8 minutes. The analysis will be here when you return. Future runs use cached results and finish in under a minute.
MY IDENTITY & BELIEFS
WHAT THIS IS: An AI-powered analysis of how closely your actual coaching behaviour aligns with the identity and principles your frameworks describe. It reads across your session transcripts and scores the degree to which you're coaching the way you say you believe in coaching.
WHY IT EXISTS: Every coach has a gap between their espoused philosophy and their enacted behaviour. This section makes that gap visible — not to judge, but to give you precise, evidence-based awareness of where you're embodying your frameworks and where you're defaulting to different patterns.
HOW TO USE IT: Select the frameworks you want to analyse against, choose your analysis window, and click "Run analysis". Use the exclusion list to filter out personal or contextual topics that shouldn't influence the scoring. Review the results and use the insights to focus your development.
Interesting tensions to consider
Belief:
Frameworks to analyse
Analysis window
Topics to ignore in behaviour analysis
Add recurring personal or contextual topics that should be ignored when scoring your behaviour against these frameworks.
No topics excluded yet — add one below or use Suggest.
No frameworks configured. Add frameworks in Settings → Frameworks to get started.
No assessment yet for the selected frameworks.
Press "Run analysis" above. This may take a few minutes depending on the number of sessions.
Low data: fewer than 5 sessions contained this framework's content. The alignment score is indicative — run more sessions for a reliable reading.
Presence = how often · Quality = how well when present (recent sessions weighted higher) · Overall = blended alignment
Journey support
Belief alignment
Where your coaching aligns with the framework
- ✓
- No positive patterns identified yet.
Where gaps exist
- →
- No direct contradictions identified across these sessions.
This page is only available to workspace admins.
SETTINGS
WHAT THIS IS: Everything that controls how Wisdom Shift is configured for your practice — API credentials, audio and transcription settings, your coaching profile, output preferences, and workspace configuration. Changes here persist across sessions.
WHY IT EXISTS: Wisdom Shift is designed to match your practice, not the other way around. These settings let you customise the AI's tone, what it generates, how it sounds, and how your workspace operates.
HOW TO USE IT: Navigate to the relevant section using the left sidebar. Most settings are personal to you; workspace and billing settings are available to admins only. Click Save Settings after any change to persist your preferences.
Organisation Credentials
Which AI keys does your workspace use?
One choice for everyone in your workspace. Only workspace admins can change it — individual users never set keys.
This is the platform owner's workspace: it always runs on the platform keys, which are the keys saved below.
Platform keys
Everyone uses Wisdom Shift's keys. Nothing to set up; AI usage is included in your plan.
Workspace keys
Everyone uses the keys you save below; the AI provider bills your organisation directly. Save and validate an OpenAI or Anthropic key first.
Workspace keys: your organisation's own AI provider keys, billed to your organisation directly.
When your workspace uses workspace keys, the keys saved here power live session prompts, post-session reports and AI-generated outputs for everyone in your workspace, and the provider bills your organisation's account — not Wisdom Shift. A service without a valid workspace key uses the platform key until one is added. In platform-keys mode the keys saved here are kept but not used.
Only connect keys from accounts your organisation controls and is authorised to use. If a key is revoked or becomes invalid, AI features will pause until a valid key is saved. You can rotate or replace the key at any time by pasting a new one here. Learn how we handle your data →
OpenAI API Key
✓ Valid ✗ Invalid Saved, not yet checked Using Wisdom Shift's key Not setPowers live session prompts, reflections, and all post-session outputs. Required.
Anthropic API Key
✓ Valid ✗ Invalid Saved, not yet checked Using Wisdom Shift's key Not setAlternative AI engine for nuanced tone and long-context reasoning. Optional.
Email sending key (Resend)
✓ Valid ✗ Invalid Saved, not yet checked Not setUsed to send sign-up, invite and billing emails. Starts with re_.
LLM Provider
Keys are stored server-side and never returned to the browser after saving. Only the last 4 characters are shown for confirmation.
Transcription Provider
Transcription Provider
Runs speech recognition directly on this Mac — no audio sent anywhere. Works best on a recent Mac (Apple Silicon) with plenty of memory.
No Deepgram API key needed for this option.
Deepgram API Key
✓ Valid ✗ Invalid Saved, not yet checked Using Wisdom Shift's key Not setPlatform Model Defaults
These models apply platform-wide, across every domain.
Each domain chooses its own AI provider (OpenAI or Anthropic) and connects its own API key in Domain Credentials. This page controls which specific model is used within that provider — e.g. GPT-4o vs a future GPT release — for everyone, everywhere, without a code deploy. Changes take effect on the next AI call.
Used for live sessions, post-session report, reflect
Used for TLT monitor, suggestions, session type detection
Saved here using the same Save Settings button above. Only the platform founder can change these — everyone else's saves leave them untouched.
Advanced Session Timing
Audio flatline threshold (sec)
Back-to-back buffer (min)
Internal detection tuning, not a coaching preference — applies to every domain. Only the platform founder can change these.
Default Audio Source
Default audio source for new sessions
This only affects live coaching sessions. Voice features like "Talk it through with me" always use your local microphone automatically.
Personalisation
Your Name
Profile Photo
Used on your brochure and brand profile. JPG, PNG, or WebP.
Your Timezone
Used for auto-score scheduling and digest emails.
Brand Profile
Display name
Your name as it appears on your brochure. Leave blank to auto-generate.
Professional title
Shown under your name on the brochure. Leave blank to auto-generate.
Learner Roles
No objective set yet
Role title
Leading objective
Transformation outcome
Key focus areas (one per line)
What great looks like
The benchmark the AI develops toward
Ideal behaviours
Mindset markers
Identity statement — At their best, this person sees themselves as…
Typical frameworks (optional — for reference)
Coaching Styles
Engagement Styles
of 3 selected
Maximum 3 — deselect one first
Style name
How this style works
frameworks have no Sophia Brief and won't be used in live session prompts
Expand any framework below and click ✦ Build Sophia Brief to fix this.
These prompts are the brain of your AI coaching assistant. The quality of what Wisdom Shift generates depends directly on how thoughtful and detailed your prompts are. Take time to craft them carefully, use the 'Refine with AI' feature, and revisit them regularly as your coaching evolves.
Framework Priority
Active frameworks
You can select up to 2 standard frameworks. Deselect one to choose another.
Standard Frameworks
— max 2Your Frameworks
Framework type
Wisdom Base scope for scoring
Primary focus
Change mechanism
Detailed AI instructions (optional)
Visibility
✓ Sophia Brief active
No Sophia Brief yet — the live session won't know when to apply this framework until you build one.
Source files for
Select from Wisdom Base
No files in Wisdom Base.
Framework type
Wisdom Base scope for scoring
Framework name
Source documents
No files in Wisdom Base yet. Upload some above.
Primary focus
Change mechanism
Detailed AI instructions (optional — auto-filled by AI, or write your own)
Visibility
Mindset Journey
Define your Mindset Journey stages to enable live session pulse tracking and post-session journey analysis.
Session Automation
Auto-navigate to Pre-Session on calendar trigger
Post-Session Outputs
Choose “Have Wisdom Shift send it” under Email Delivery below to turn this on.
Email Delivery
Sent from no-reply@send.wisdomshift.app with your name as the sender.
Your workspace admin sets this address.
Without a reply-to address, replies to these emails go nowhere.
Email tone
Leader Effectiveness
Recency window (days)
Recency weight (%)
Minimum sessions for reliable score
Active dimensions
Dimension weights (for overall score)
Reminders
Weekly prompt refinement reminder
Leader Reading
Auto-discover new books weekly
Max recommendations to show
Allow external book suggestions
Wisdom Extraction Quality
Max extracted quotes per session
Max extracted questions per session
Sophia Intelligence
Allow external content as fallback
When Off, WS only uses your internal frameworks, Wisdom Base, and book library. Recommended: Off.
Session Tags
Sophia will keep adding new tags from sessions. Use Clean up library regularly to consolidate them back into your reporting set.
Add a tag
Similar tags already exist — consider using one of these instead:
Click a tag above to use it, or continue typing to add a new one.
No tags yet. Add one above.
No tags match the current filter.
Tag Taxonomy
Consolidate your tag library into a clean canonical reporting taxonomy.
Auto-consolidate
Sophia consolidates your tag library down to 30 tags or fewer in one run — automatically applying high and medium confidence merges and iterating until the target is met. Any genuinely ambiguous suggestions are surfaced for review.
Review manually
Step-by-step review of the proposed taxonomy and every merge cluster. Full control over each decision — nothing is applied without approval.
Sophia is consolidating your tag library…
Library after consolidation: tags
tags removed · session tag assignments rewritten · merges applied automatically
Library is still above the target of 30. Review the suggestions below to reduce it further.
All mergeable tags have been consolidated.
Analysing tag library…
No canonical taxonomy proposed.
Check the server log for errors, then retry.
AI-proposed canonical taxonomy — tags. Edit names if needed, then proceed to Step 2.
Marking canonical does not reduce your tag library.
Your library will stay at tags until you apply merges in Step 2.
✓ Canonical tags marked — library still at tags
Approve and apply merges below to consolidate and reduce the count.
Taxonomy looks healthy.
No merge suggestions available.
Close and re-open to run a fresh analysis using your defined canonical tags.
No merge suggestions returned.
Try re-running, or define canonical tags in Step 1 first.
Calendar Integration
Exchange server
Email address
Session Activation Mode
Trigger words (comma-separated)
Pre-session wake time (min)
People who book for others
Assistants and organisers
Some invites are sent by an assistant, not the learner. People listed here are never filled in as the learner. Wisdom Shift works this out from your calendar and from the names you choose; your answers always win. These are contact details from your own calendar, kept only for this purpose.
Nobody is listed yet.
Busy Periods
Pause the debrief clock
Sessions ending during a marked period get extra time before they auto-score without a debrief.
Start
End
Label (optional)
Logo
Brand Logo
Appears in report headers, PDF exports, Word documents, and learner emails. PNG, JPG or WebP, up to 2 MB. Transparent PNGs work best.
Organisation Details
Company / Practice Name
Appears in report headers alongside your logo
Tagline (optional)
Short phrase shown below the company name
Brand Colours
Colour preview
Wisdom Card Templates
Upload a background image for Quote and Question cards. Text will be automatically composited on top when items are saved. PNG or JPG, ideally 1920×1080 or wider.
Quote Template
Question Template
Report Header Preview
Export my data
Full transcripts are included. API keys are not.
For a complete erasure — transcripts, scores, notes, history and Wisdom Base references too, with a preview and a deletion certificate — use
Right to Erasure (GDPR Article 17)
Permanently delete your account and all associated data. This cannot be undone. You must not be the sole administrator of your workspace.
Type DELETE MY ACCOUNT to confirm.
Export my data
Full transcripts are included. API keys are not.
Delete data permanently
This will permanently delete item(s) across session(s).
:
Exactly what
Type DELETE to confirm.
Certificate reference:
View certificate
Privacy & Compliance
Data classification, consent management, jurisdiction rules, and regulatory compliance.
Data Classification Framework
All session data is classified into three tiers. Classification is applied automatically at write time.
Category 1 — Operational (no PII)
Session scores, tags, timestamps, effectiveness metrics. Freely sharable. Never contains personal information.
Category 2 — Controlled (de-identified)
Category 3 — Restricted (PII)
Raw transcripts and verbatim learner content. Subject to retention limits and consent requirements.
Transcript Privacy
Control how long raw transcripts (Cat 3) are retained. Cat 1 and Cat 2 artefacts are always retained.
Auto-purge transcripts after extraction
Transcripts are deleted as soon as outputs (summaries, assessments) have been generated.
Cat 1 (scores, tags) and Cat 2 (summaries, check-ins) artefacts are always retained regardless of this setting.
AI Assistance
Control AI assistance transparency and coach-voice-only mode.
Show AI active indicator
Display a visible indicator during sessions that AI is listening and assisting.
Global coach-voice-only mode
When enabled, learner audio is excluded from AI processing for all sessions. Override per-learner consent scope.
Data Residency
Your organisation's preferred region for storing data. This records your preference only: it does not change where data is stored. The Data Processing Agreement below says where that is.
Letters, numbers and dashes only, up to 32 characters. Recorded as your stated preference when you accept the Data Processing Agreement.
Dev / Test Override
These settings are for build and test only. They have no effect in production.
Retain transcripts for testing
When on: extraction and lifecycle still run normally up to purge eligibility, but physical transcript deletion is skipped. Transcripts stay on disk so outputs, scoring, and pipeline flows can be debugged. State transitions to retained_for_dev instead of purged.
ACTIVE — transcripts will NOT be deleted by the retention sweep
Data Processing Agreement (DPA)
GDPR Article 28 Data Processing Agreement between you (Data Controller) and Wisdom Shift (Data Processor).
Loading…
Not ready for release. Accept stays disabled until these are filled in (only admins see this):
A new version of the DPA is available
.
Consent Audit Log
Last 10 consent events across all learners.
Data Export
Download your data as a ZIP, full transcripts included. API keys are not included.
Sub-Processors
Third-party services that may process data on behalf of Wisdom Shift.
Account Cancellation & Data Handling
Close your account. Under GDPR Art. 28(3)(g) we return or delete your data at the end of the service: after you confirm, learner data is deleted after 30 days and the rest of the workspace after 60 days — export what you need before then.
Cancellation in progress
Status:
Initiated:
All workspace data will be permanently deleted on .
All workspace data will be permanently deleted.
Confirm Account Cancellation
After you confirm, learner data — learners, sessions, transcripts and learner-linked scores — is permanently deleted after 30 days, and everything else (your Wisdom Base, persona, assessments and settings) after 60 days. Take your data back before then — use
Breach Notification Compliance
72-hour SLA tracking for security incidents. Super admin only.
Manage incidents in the Admin panel.
Workspace
Manage members, publishing rules, and workspace-level settings.
Workspace Members
Manage roles for members of your workspace. A role change applies straight away; the member may need to refresh their page to see admin screens appear or disappear.
| Member | Role | |
|---|---|---|
|
|
Reset two-step sign-in?
For . Use this when they have lost their authenticator app. Their authenticator will be removed, and the next time they sign in they will be asked to set it up again. Their password and data do not change.
We will email them to say it happened, and the reset is recorded in the audit trail.
Edit Role
Changing role for
Their new role applies straight away. They may need to refresh their page to see the change.
Breach Incident Manager
Track and manage security incidents with 72-hour SLA compliance.
Record New Security Incident
DPA Versions and Acceptances
The DPA text is versioned in the code (legal/dpa/). A new version is a new file and a new entry in versions.json; here you choose which version is current and flag change notices.
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Unresolved items (Accept is disabled until these are fixed)
Change notices are not emailed yet. Once email sending is set up, every Domain Admin and every sub-processor subscriber will be told at least 30 days before the effective date.
Workspaces
| Workspace | Version | Accepted by | Date | |
|---|---|---|---|---|
| No workspaces to show. | ||||
Content Approvals
Items leaders have suggested making domain-wide. Vote yes or no — whichever side reaches the threshold first decides. A domain admin's vote decides instantly, either way.
Affiliate Access
Share content and frameworks with your affiliate network.
You've been invited to become an affiliate
wants your domain to be their affiliate — you'd inherit their Wisdom Base and they'd earn a commission on your sessions.
About affiliate access
Affiliates are external partners who can view Wisdom Base content specifically shared with your affiliate network. They have no access to sessions, learner data, or workspace settings.
Affiliates can access
- ✓ Affiliate-scoped Wisdom Base content (read-only)
Affiliates cannot see
- ✗ Sessions or post-call reports
- ✗ Learner profiles or personal data
- ✗ Workspace settings or billing
Linked affiliate domains
Other Wisdom Shift domains linked to yours as affiliates — they inherit your domain's Wisdom Base and their session activity earns your domain a commission.
| Domain |
|---|
Invite an affiliate
Enter the exact email of the domain admin at the company you want to invite — they'll get an email to accept or decline.
Sent
Your referral link
Share this with a brand-new company — when they register through it, their company is created and automatically linked as your affiliate.
Affiliate earnings & payouts
Commission accrued from sessions run by your affiliate organisations. 25% of effective session revenue.
Stripe Connect
Connect a Stripe account to enable payouts to your affiliate organisations.
Accrued
AUD
Ready for payout
AUD
All-time paid
AUD
Affiliate orgs
Sessions:
Payout run
Closure override activeAcrue more sessions to reach the payout threshold, or use the account-closure override.
Payout completed
Simulated transfer (no real money moved).
Payout failed
Payout history
| Date | Amount | Status |
|---|---|---|
By affiliate organisation
sessions attributed
accrued
No commission entries yet. Sessions run by affiliated organisations will appear here.
My affiliate earnings
Affiliated with — your Your commission from sessions attributed to this agreement.
Accrued
AUD
Ready for payout
AUD
Sessions attributed
all time
Recent commission entries
| Date | Session credits used | Your commission |
|---|---|---|
No commission entries yet. Sessions you conduct will appear here once recorded.
Reporting API
Create read-only API keys to connect Wisdom Shift session data to external dashboards, HR systems, and BI tools. Each key is scoped to your organisation and can only read data — no writes are permitted.
Store each key securely. The full key is shown only once at creation.
View API documentation →Copy this key now — it will not be shown again.
Create new API key
No Reporting API keys yet.
Create a key above to start connecting external tools.
Reporting API key management is available to workspace administrators only.
Session pricing
What every workspace pays per session, in US dollars. A workspace counts as using its own AI keys when its administrator chose that and an OpenAI or Anthropic key of theirs is in use. Used for session charges, usage figures, the session credits in each bundle and the profit check.
No sessions from these workspaces yet.
AI cost to you per session ( sessions):
· in the session → margin
· including background work → margin
Over the last months: AI cost paid on our AI keys by the workspaces in each group, divided by the sessions they ran. Background work (scoring, reports, Sophia) is included in the second figure, which the warning uses. Sessions longer than one session credit are charged more than once, so real margins are at least this.
Affiliate commission
When the payer is an affiliate, this is what you retain per session — the remainder is the parent workspace's commission. E.g. price US$5, retain US$4 → the parent earns US$1 per session.
Parent earns US$ per session
Parent earns US$ per session
Session metering
Publicly marketed as "30 minutes" — this is the real cut-over point (30 minutes plus a grace period). A session uses 1 session credit per this many minutes, rounded up.
Session credit bundles
The session credits in each bundle are always worked out from the current price per session. Customers see only the bundle name before the dash (Starter, Standard, Value) and only the bundles for their own AI key setup.
Local development mode
The server is running with AUTH_ENABLED=false.
Sophia tables require a live Supabase connection.
To activate Sophia, set AUTH_ENABLED=true,
SUPABASE_URL, and
SUPABASE_ANON_KEY in your .env file,
then restart the server. The Sprint 1 tables exist in Supabase — no SQL changes needed.
Trust Calibration
sophiatrustcalibration — running state for the logged-in coach.
Loading…
Not available — local dev mode (see banner above).
sophiatrustcalibration row not found. Check server logs for [Sophia] entries — likely an RLS or table issue.
Trust Score
Challenge Permission
Too Challenging Flags
Positive Engagement
Last updated:
Set Trust Score Manually
For testing and calibration. The challenge_permission column updates automatically via DB trigger.
coaches row
coaches row not found — check server logs for [Sophia] entries.
Not available — local dev mode.
coachprofiles row
coachprofiles row not found — check server logs for [Sophia] entries.
Not available — local dev mode.
Learner Context
sophialearnercontext — goals, commitments, patterns and beliefs extracted per learner. Read-only.
Not available — local dev mode (see banner above).
Select a learner above to inspect their context.
Loading…
No context items yet for this learner. Sophia extracts learner context automatically after each session is processed.
Extracted: · Checked in: …
Showing 10 most recent items.
Coach Memory
sophiacoachmemory — observations extracted after each session. High-sensitivity unconfirmed items are hidden.
Loading…
Not available — local dev mode (see banner above).
No memory items yet. Sophia extracts coach observations automatically after each session is processed.
Confidence: · Extracted: · Last used:
Showing 10 most recent items.
Usage & Spend
Your workspace's session credit usage this month, and the balance remaining. The monthly figure starts again on the 1st of each month. All amounts are in US dollars.
Used this month
Remaining balance
Valued at the price per session for workspaces using .
What your AI costs
Your workspace uses your own AI keys, so your AI provider bills you directly for these costs. Wisdom Shift's session fee is separate.
Your workspace uses Wisdom Shift's AI keys. These AI costs are covered by your session fee. They are shown so you can see where it goes.
AI cost this month
Average AI cost per session
By month
| Month | AI cost | Session fees | AI calls |
|---|---|---|---|
| No AI costs recorded yet. | |||
Per session
| Date | Learner | Length | AI cost |
|---|---|---|---|
| No session costs saved yet. They appear after your next session ends. | |||
What the AI was used for
The most recent 300 calls only, newest first. The totals above cover every call.
| When | Used for | Model | AI keys | Cost |
|---|---|---|---|---|
Profit check (owner only)
Session fees charged against the AI cost paid on our AI keys, per workspace per month, in US dollars. Workspaces using their own AI keys pay their AI cost themselves, so it is shown separately and not deducted. All figures cover every AI call recorded in the period.
Session fees
AI cost on our AI keys
Profit
| Month | Workspace | AI keys | Sessions | Fees | AI cost (ours) | AI cost (theirs) | Profit |
|---|---|---|---|---|---|---|---|
Highlighted rows are AI calls that could not be linked to a workspace. Free trial sessions have no fee, so they show as a cost.
Price per session now: for workspaces using our AI keys, for workspaces using their own AI keys (change it in Billing & Pricing). Sessions charged from now on keep the price they were charged at.
Platform Admin
All tenants and their current plan. Visible to super admins only.
PLATFORM ADMIN
WHAT THIS IS: The top-level platform management view, visible only to super admins. Shows all tenant workspaces, their subscription plans, member counts, and pending invitations.
WHY IT EXISTS: Super admins need a single place to manage the platform across all workspaces — assigning plans, monitoring tenant activity, and managing access. This panel is the operational hub for platform-level governance.
HOW TO USE IT: Review the tenant list to see all active workspaces and their current plans. Use the plan selector on each row to upgrade or downgrade a tenant. Use the Settings → Workspace section to manage a specific workspace's members and configuration.
| Tenant | Plan | Members | Invites | Created | |
|---|---|---|---|---|---|
| pending — | |||||
| No tenants found. | |||||
How session credits work
Each live coaching session uses one session credit per 30 minutes or part thereof — so a 45-minute session uses 2 session credits, and a 20-minute session uses 1 session credit. Your free trial works the same way: 10 free session credits.
Session credits are bought in advance and shared across your workspace. When your balance reaches zero, new sessions cannot start. You keep full read-only access to all past sessions and outputs.
Choose a bundle
No bundles are available for your workspace at the moment — please contact support.
All charges are in US dollars. Session credits are bought in advance and are generally non-refundable, except as required by law or where a billing error is confirmed. Terms of Service
Auto top-up
The bundle you choose is the one bought each time, charged to your saved card. All charges are in US dollars. If your workspace changes between Wisdom Shift's AI keys and your own AI keys, the same size bundle is bought at the price for that setup.
No bundles are available for your workspace at the moment — please contact support.
If a payment fails, no session credits are added and auto top-up switches itself off, so your card is not tried again. Once the card details are fixed (Manage payment details), a workspace administrator turns auto top-up back on here.
Session credit history
| Date | Type | Session credits | Balance |
|---|---|---|---|