Imported from mjrtl/agentic_product_manager (skills/interview-snapshot/SKILL.md). Install upstream with npx skills add mjrtl/agentic_product_manager --skill interview-snapshot. Copyright stays with the author.

Create Interview Snapshot

Name: Interview Snapshot
Author: mjrtl

Extract structured insights from qualitative interviews or user test sessions.

When to use

After conducting a qualitative interview or user test session.

Input

Raw interview notes, transcripts, or recordings.

Output

Format: Markdown (.md)
Location: user-interviews/snapshots/
Filename: snapshot-[participant-name]-[date].md

Process

Data Validation: Assess completeness and quality of interview data
Context Extraction: Identify session type, research goals, and participant context
Story Identification: Extract specific behavioral stories, not generalizations
Experience Mapping: Create user journey maps for key stories
Opportunity Analysis: Identify pain points, needs, and improvement areas
Insight Synthesis: Recognize patterns and behavioral insights
Snapshot Creation: Compile into structured interview snapshot
Quality Review: Validate completeness and clarity

For 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.

{ "ocm": "1", "id": "mjrtl-agentic-product-manager-interview-snapshot", "kind": "skill", "name": "Interview Snapshot", "description": "Extract structured insights from a qualitative interview or user test session. Creates interview snapshots following the Continuous Discovery Habits methodology.", "publisher": "mjrtl", "version": "1.0.0", "capabilities": { "domains": [ "general" ], "tags": [ "skill-md", "github" ], "languages": [ "en" ] }, "quality_prior": 0.6, "examples": [ "Extract structured insights from a qualitative interview or user test session. Creates interview snapshots following the Continuous Discovery Habits methodology." ], "primary": false, "metadata": { "source": { "provider": "github", "repository": "https://github.com/mjrtl/agentic_product_manager", "path": "skills/interview-snapshot/SKILL.md", "ref": "3767e73d078cdb0874dbd92a46beb7ad6c5ba9ff", "url": "https://github.com/mjrtl/agentic_product_manager/blob/3767e73d078cdb0874dbd92a46beb7ad6c5ba9ff/skills/interview-snapshot/SKILL.md", "key": "mjrtl/agentic_product_manager/skills/interview-snapshot/SKILL.md" } }, "instructions": "# Create Interview Snapshot\n\nExtract structured insights from qualitative interviews or user test sessions.\n\n## When to use\n\nAfter conducting a qualitative interview or user test session.\n\n## Input\n\nRaw interview notes, transcripts, or recordings.\n\n## Output\n\n- **Format:** Markdown (`.md`)\n- **Location:** `user-interviews/snapshots/`\n- **Filename:** `snapshot-[participant-name]-[date].md`\n\n## Process\n\n1. **Data Validation**: Assess completeness and quality of interview data\n2. **Context Extraction**: Identify session type, research goals, and participant context\n3. **Story Identification**: Ex", "cost": { "context_tokens": 298 } }

Interview Snapshot

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Create Interview Snapshot

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