jtbd-canvasdraft

Jobs to be Done Canvas: Turn a finished session into a trustworthy next step

Job Overview

Job Title: Understand session quality and the next step, fast Date: 2026-06-18 Author: PM pipeline (from curator.html) Research Basis: Founder conversation (2026-06-15) + ICF study cited on page. NOTE: no independent coach interviews yet — treat as hypothesis. (The page lists 5 JTBD; this canvas details the primary one and references the others.)

Job Performer

Who: A practicing coach who has just finished a session and must convert it into prep + client follow-up. Key Characteristics: 6–15 active clients; values session quality and reputation; time-poor; already improvises with a transcriber + generic LLM. Not Defined By: coaching niche, age, tenure, specific video tool.

The Circumstance

When: immediately after a session ends and a recording/transcript exists. Where: at the desk, between back-to-back clients. Frequency: every session (multiple times/week). Urgency: medium-high — follow-up loses value if it slips days.

Job Statement

"When I finish a coaching session, I want to get a structured, trustworthy read of what happened and what's next, so I can prepare and follow up without hours of manual work — and stand behind what I send the client."

Functional Job

Practical task: produce an accurate session analysis + a client-ready follow-up. Definition of "Done": - Topic, insights, commitments, next steps captured accurately. - Output trustworthy enough to send a client with light edits. - Done in minutes, not an hour. Key Steps: 1) review what happened → 2) extract insights/commitments → 3) decide next step → 4) draft client message. Functional Pains: manual + slow; generic-LLM output varies run to run; details lost between sessions.

Emotional Job

Desired Feeling Why It Matters
Confident the analysis is right They put their name/reputation on it
In control of the practice Reduces "things are slipping" anxiety
Professional, not scrambling Identity as a serious practitioner

Avoid feeling:

Feeling to Avoid Current Trigger
Doubt before sending Inconsistent AI output
Guilt Dropped commitments between sessions

Emotional Pains: anxiety that AI output is wrong; fatigue of redoing analysis.

Social Job

Desired Perception By Whom
Rigorous, evidence-based coach Clients, program leads
Trustworthy with sensitive data Clients, sponsors

Avoid: seeming to "outsource thinking to a bot." (drives the human-in-the-loop framing)

Competing Solutions

Solution Type Solution Strengths Weaknesses
Indirect Transcriber + ChatGPT prompt Cheap, available Not reproducible, no continuity, not client-safe
Non-consumption Memory + quick notes Zero setup Lossy, doesn't scale
DIY/Manual Hand-written session notes Trusted by coach Slow, inconsistent

Why switch: when client load grows and manual analysis stops scaling. Why stay: trust in own notes; fear of AI error; setup friction.

Hiring Criteria

Must-Have: accurate speaker-separated transcript; client-safe (consent + depersonalisation); coach edits before anything is sent. Differentiators: reproducible methodology-grounded analysis; cumulative client dossier; coaching-native (session phases/ICF). Nice-to-Have: live in-session suggestions; auto follow-up scheduling.

Insights and Implications

Insight 1: Trust, not speed, is the gating criterion. → Reproducibility + evidence (quotes) per conclusion is the core build. Insight 2: The job spans between sessions, not just after. → The dossier is part of the same job, not a separate feature. Insight 3: Social risk ("outsourcing thinking") is real. → Keep human-in-the-loop visible in UX and messaging.

Supporting Quotes

No verbatim research quotes yet — to be collected in 02-discovery-research.md. (Honest gap.)

Questions for Further Research

  • Is "trustworthy enough to send" a binary gate or a gradient?
  • How many minutes is the real "fast enough" threshold?
  • Do coaches want the dossier, or just per-session summaries?

Other JTBD from the page (see PRD): see commitments are kept; show progress to client/sponsor; handle sensitive data safely; prove coaching ROI.