SKILL FILE

User Interview Analyzer with AI

Transform raw interview transcripts into structured Interview Snapshots with extracted opportunities, key quotes, and follow-up questions in minutes.

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What this skill file teaches Claude

Drop one markdown file into your repo. Claude Code learns how to run this entire workflow.

1

Jobs-to-be-Done extraction

What the user is trying to accomplish, framed in JTBD format.

2

Goals + frustrations

What success looks like for them versus what gets in their way.

3

Opportunity identification

Unmet needs framed as problems to solve — not solutions.

4

Evidence-rated insights

Strong / Medium / Weak based on how explicitly the user stated each insight.

5

Key quotes pulled out

Memorable lines extracted for product briefs, presentations, and case studies.

6

Follow-up questions

What to ask next to fill the gaps in your understanding.

What you can build with this

Write up interviews while context is fresh

Process an interview within 24 hours of conducting it. Snapshot per interview, structured the same way each time.

Clear an interview backlog

Have 20 interviews you never wrote up? Batch-process them into Snapshots and finally get the synthesis done.

Prep research summaries for stakeholders

Snapshots are the source material for executive presentations and quarterly reviews.

Get the full skill file

Everything above is 80% of the skill file. Download the complete version with full implementation details, agent prompts, and ready-to-run scripts.

Common questions

Plain text, Markdown, Google Doc export, or Otter.ai transcript all work. Speaker labels help but aren't required. The skill handles raw text dumps fine.
About 2–3 minutes for a 45-minute interview. Compare to 30–60 minutes if you write the snapshot manually.
No — every insight is evidence-rated and linked to the source quote. If the transcript doesn't support a claim, the skill flags it as weak or omits it entirely.
Yes — same framework works for any structured conversation where someone is describing a problem or workflow. Sales discovery calls, customer support recordings, and onboarding sessions all produce useful Snapshots.
Interview Snapshots feed the JTBD Extractor. Run several Snapshots through it to find the patterns across users.

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