From product-skills
Synthesizes raw user research into atomic nuggets, patterns, insights, and recommendations rated by evidence strength. Use for organizing feedback, interview patterns, or customer discovery.
npx claudepluginhub assimovt/productskills --plugin product-skillsThis skill uses the workspace's default tool permissions.
Turn raw research into atomic insights that drive decisions. Good synthesis surfaces patterns, bad synthesis creates narrative fiction. The goal is structured evidence, not a compelling story that cherry-picks quotes.
Synthesizes user research like interview transcripts, surveys, usability tests, and feedback into themes, insights, user segments, and prioritized recommendations.
Synthesizes qualitative research via affinity mapping, thematic analysis, pattern recognition, and insight extraction. Use for interview analysis, usability findings, and actionable recommendations.
Synthesizes user research findings from interviews, surveys, usability tests, and feedback into themes, pain points, feature requests, workflows, and prioritized recommendations.
Share bugs, ideas, or general feedback.
Turn raw research into atomic insights that drive decisions. Good synthesis surfaces patterns, bad synthesis creates narrative fiction. The goal is structured evidence, not a compelling story that cherry-picks quotes.
Break research into four levels, bottom-up:
Individual observations from a single source. Each nugget is:
Example: "[P3, Jan 12] 'I spend 30 minutes after every customer call just trying to remember what they said.'"
Group nuggets that point to the same phenomenon. A pattern requires evidence from 3+ independent sources.
Example: "5 of 7 PMs report spending 20-45 minutes on post-call documentation. All describe it as tedious and low-value."
What the pattern means for the product. An insight connects a pattern to a product opportunity or risk.
Example: "Post-call documentation is a high-frequency pain point (daily for active PMs) with no satisfying solution. Current workarounds (voice memos, bullet lists) lose context and emotional nuance."
Specific product actions justified by insights. Each recommendation traces back through the chain: recommendation ← insight ← pattern ← nuggets.
Rate every pattern and insight:
| Strength | Criteria |
|---|---|
| Strong | 5+ sources, consistent behavior observed, corroborated by data |
| Moderate | 3-4 sources, mostly consistent, some data support |
| Emerging | 2 sources, needs more evidence before acting |
| Weak | Single source or contradictory evidence |
NEVER make product recommendations based on Weak or Emerging evidence. Flag them for further research.
Built on the Atomic Research method (Daniel Pidcock) and Continuous Discovery Habits (Teresa Torres). Skills from productskills.