Create structured insight snapshots from user interviews and research sessions.
Install
mkdir -p .claude/skills/interview-snapshot && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/11823" && unzip -o skill.zip -d .claude/skills/interview-snapshot && rm skill.zipInstalls to .claude/skills/interview-snapshot
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Extract structured insights from a qualitative interview or user test session. Creates interview snapshots following the Continuous Discovery Habits methodology.Key capabilities
- →Extract structured insights from qualitative interviews
- →Identify session type, research goals, and participant context
- →Extract specific behavioral stories
- →Create user journey maps for key stories
- →Identify pain points, needs, and improvement areas
- →Synthesize patterns and behavioral insights
How it works
The skill processes raw interview data to extract structured insights, identify behavioral stories, and analyze opportunities following the Continuous Discovery Habits methodology.
Inputs & outputs
When to use Interview Snapshot
- →Document user interview insights
- →Create research snapshot
- →Map user journey patterns
About this skill
Create Interview Snapshot
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.
When not to use it
- →Before conducting a qualitative interview or user test session
- →When only generalizations are needed, not specific behavioral stories
- →When the output format is not Markdown
Limitations
- →Requires qualitative interview or user test session data
- →Output format is Markdown (`.md`)
- →Output location is `user-interviews/snapshots/`
How it compares
This skill applies a specific methodology (Continuous Discovery Habits) to transform raw interview data into structured snapshots, focusing on behavioral stories and pain points, unlike general summarization.
Compared to similar skills
Interview Snapshot side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| Interview Snapshot (this skill) | 0 | 6mo | No flags | Intermediate |
| meeting-minutes | 41 | 6mo | No flags | Beginner |
| ux-writing | 42 | 2mo | Review | Beginner |
| internal-comms | 8 | 3mo | No flags | Beginner |
Try saying
Example prompts that trigger this skill in your AI assistant.
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