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Extract structured insights from a qualitative interview or user test session. Creates interview snapshots following the Continuous Discovery Habits methodology.
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SOC 職業分類に基づく
Extract and prioritize opportunities from interview snapshots and synthesis using the Opportunity Solution Tree framework.
Generate consistent design briefs with machine-readable JSON for Figma/Make and stakeholder-friendly Markdown summaries, integrated with your design system.
Full Continuous Discovery Habits pipeline orchestrator. Walks through all stages from initiative setup through assumptions testing, picking up where you left off.
Generate Figma Make-ready prompts from design briefs. Outputs optimized JSON within the 5000-character limit with proper component and token mapping.
Generate multiple solutions for identified opportunities through structured AI-human collaborative ideation, then evaluate and select the top 3.
Create a detailed, step-by-step task list from requirements or a PRD. Generates parent tasks first for review, then breaks down into sub-tasks.
| name | Interview Snapshot |
| description | Extract structured insights from a qualitative interview or user test session. Creates interview snapshots following the Continuous Discovery Habits methodology. |
| argument-hint | [paste-interview-notes-or-path] |
Extract structured insights from qualitative interviews or user test sessions.
After conducting a qualitative interview or user test session.
Raw interview notes, transcripts, or recordings.
.md)user-interviews/snapshots/snapshot-[participant-name]-[date].mdFor the full output template, quality standards, and guidelines, see references/create-interview-snapshots.md.
Follow the writing standards in _shared/writing-standards.md for all outputs.