Transform interview transcripts into structured insights with quotes, patterns, and recommendations.
/user-interview-analyzer1-2 hrs → 15 min
Compared to doing it manually
/user-interview-analyzerType this in Claude to run the skill
Interview notes sit unprocessed. Insights fade. By the time you write them up, you've forgotten the nuance. Opportunities slip through the cracks.
Agent workflows chain multiple skills into one command.
/welcome/user-interview-analyzer in Claude to run the skill/feedback-categorizerAnalyze and categorize customer feedback into actionable themes using affinity mapping.
/survey-question-generatorDesign customer surveys with clear objectives, unbiased questions, and analysis plans.
/research-synthesis-engineSynthesize multiple research sources into coherent insights with clear evidence chains.
/journey-map-creatorBuild detailed customer journey maps that identify pain points and opportunities across touchpoints.
Look for patterns across interviews: recurring themes, common frustrations, unexpected insights. Tag quotes by topic, then synthesize into key findings. Focus on behaviors and motivations, not just what users say they want.
For most discovery research, 5-8 interviews reveal 80% of usability issues. For deeper research, 12-15 interviews. You've done enough when you stop hearing new information (saturation).
Users often say one thing ("I'd pay for that!") but do another (don't actually pay). Triangulate: combine interview insights with behavioral data. Watch what they do, not just what they say.
Get every skill running in a system that knows your company, product, and customers.
Every skill + your company context in one system.