Files
pm-claude-skills/exports/aider/pm-discovery/user-interview-synthesis/user-interview-synthesis.md
T
mohitagw15856 036511ab3e Windsurf + Aider targets, MCP server, and demo placement (#33)
Broadens both reach (more tools) and content types (an MCP server), continuing
the multi-platform story.

Windsurf + Aider:
- build-exports.mjs gains two platforms: exports/windsurf/*.md (workspace rules,
  trigger: model_decision) and exports/aider/*.md (conventions for `aider --read`).
  Now 5 platforms (ChatGPT, Gemini, Cursor, Windsurf, Aider).
- install.sh + bin/cli.mjs install both (windsurf -> .windsurf/rules, aider ->
  .aider/skills with a --read hint); generated README index is excluded from copies.
- One-line windsurf-install.sh / aider-install.sh wrappers for parity.

MCP server (new content type):
- mcp/server.mjs — zero-dependency stdio MCP server exposing list_skills,
  search_skills, get_skill. Published as a second bin (pm-claude-skills-mcp).
  Logs to stderr; reads bundled skills/ at startup. mcp/README.md documents
  client config.

Also: README hero "See it in action" demo placement (ready to swap in a GIF;
recording guide in web/docs-assets/README.md), Works-With table + exports +
install docs updated, CHANGELOG Unreleased. package.json files/bin updated.


Claude-Session: https://claude.ai/code/session_016JWn5jRD5tcEFKrubjQ6Px

Co-authored-by: Claude <noreply@anthropic.com>
2026-06-17 23:15:38 +01:00

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2.6 KiB
Markdown

# User Interview Synthesis Skill
Transform raw interview transcripts into a structured synthesis document that surfaces themes, pain points, and actionable insights.
## Required Inputs
Ask the user for these if not provided:
- **Interview transcripts or notes** (even rough notes work)
- **Number of participants and their profiles** (role, company size, context)
- **Research questions** (what was the study trying to answer?)
- **Date range** of research (for context)
## Process
1. Read all provided transcripts fully before drawing conclusions
2. Identify recurring themes (minimum 3 mentions to qualify as a theme)
3. Categorize findings into: Pain Points, Workflow Insights, Feature Requests, Delight Moments
4. Select 2-3 verbatim quotes per theme that best represent the pattern
5. Draft "So What" implications for each theme — what does this mean for the product?
6. **Validate** — Confirm every theme has quotes from at least 3 participants. Flag any insight resting on fewer as low-confidence.
## Output Structure
### Research Synthesis: [Study Name]
**Participants:** [n]
**Date Range:** [dates]
**Research Questions:** [list]
#### Theme 1: [Theme Name]
- Summary (2-3 sentences)
- Supporting quotes (from at least 3 participants)
- Implication for product
[Repeat for each theme]
#### Low-Confidence Signals (1-2 participants only)
[Findings worth tracking but not acting on yet — note what further research would confirm or deny]
#### Recommended Next Steps
[Specific, actionable recommendations based on findings]
## Quality Checks
- [ ] Every theme is supported by quotes from at least 3 participants
- [ ] Implications connect to specific product decisions, not just observations
- [ ] Researcher bias check: no leading language, findings don't all support one hypothesis
- [ ] Single-source signals are flagged separately, not mixed into main themes
- [ ] Research questions from the study brief are each addressed (even if the answer is "inconclusive")
## Anti-Patterns
- [ ] Do not mix single-source signals into main themes — insights cited by only one participant must be flagged separately
- [ ] Do not write implications that are observations restated rather than product decisions enabled
- [ ] Do not include themes that only support the project hypothesis — contradictory findings must be surfaced, not omitted
- [ ] Do not present findings without quotes — every theme requires verbatim evidence from at least 3 participants
- [ ] Do not leave research questions unanswered — each question from the study brief must be explicitly addressed, even if the answer is inconclusive