Official skill · Product
User interview synthesis
Synthesizes interview notes into themes with participant counts, quotes, jobs-to-be-done, insights vs. assumptions, and recommendations with confidence. Use it when you ran 3 or more user interviews or discovery calls and need the patterns.
AI skill
Have your AI pull insights out of your user interviews
14 days free · No card needed
Works in Claude, ChatGPT, and coding agents. On Team and Business, the official skill in your pod updates itself when we improve it.
When to use it
- You ran 3 or more user interviews or discovery calls and need the patterns
- The team asks "what did we learn?" before a product decision
What you give it
- Interview transcripts or notes per participant
- The research question
- Participant segments (optional)
What you get
A research readout: top findings, themes with counts and quotes, jobs-to-be-done, an insight table, and recommendations with confidence.
How it works
- Extract atomic observations
- Group into themes
- Count participants per theme
- Pick quotes
- Write jobs-to-be-done
- Separate insights from assumptions
- Recommend with confidence
Example
What you give it
Input (summarized notes, 4 interviews on invoice follow-up): > P1 (agency owner): chases late invoices every Friday from a spreadsheet. "I hate being the bad guy." > P2 (freelancer): sends reminders by text from her phone, not email. Wants auto reminders. > P3 (agency owner): has a bookkeeper chase invoices. Didn't know who was late until month end. > P4 (freelancer): copy-pastes the same reminder email; "I soften it every time so it doesn't sound rude.
What you get back (the start of it)
Interview synthesis: How do small service businesses follow up on late invoices?
Participants: 4 (2 agency owners, 2 freelancers) · Dates: [dates] · Interviewer(s): [names]
Top findings
1. Following up feels socially awkward — 2 of 4 2. Follow-up is manual and repeated — 3 of 4
Themes
Following up feels socially awkward — 2 of 4
- Evidence: P1 did: chases weekly, said dislikes being "the bad guy". P4 did: rewrites the tone each time.
- Quotes: "I hate being the bad guy." — P1; "I soften it every time so it doesn't sound rude." — P4
- Segments: both
Follow-up is manual and repeated — 3 of 4
- Evidence: P1 did: spreadsheet every Friday. P2 did: texts from phone. P4 did: copy-pastes one email.
- Quotes: "I soften it every time" — P4
- Segments: both
The rest of this output, the full steps and the checks the AI runs before it answers are in your pod once you add the skill.
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Changelog
- v1.0.3 · · Example: top finding 2 reads "Follow-up is manual and repeated", as its theme heading does; only P1 batches (every Friday), so "done in batches" is gone.
- v1.0.2 · · Example: the template recommendation is rated High, as the skill's scale requires, since both its themes rest on behavior from at least half the participants (2 of 4 and 3 of 4).
- v1.0.1 · · Example: the single-participant finding is dropped from Top findings (it stays under Worth watching), each recommendation names a theme, and the awkwardness theme no longer claims people delay follow-ups, which no participant said.
- v1.0.0 · · First release.
Sources
- Affinity Diagramming for Sorting UX Findings and Ideas - NN/G (read 2026-11-04)
- Jobs to Be Done Theory (Christensen Institute) (read 2026-11-04)