Synthesize multiple research sources into coherent insights with clear evidence chains.
Now includes the former JTBD Extractor.
/research-synthesis-engine8+ hrs → 1 hr
Compared to doing it manually
/research-synthesis-engineType this in Claude to run the skill
Research insights live in scattered docs, slides, and people's heads. When you need evidence, you can't find it. Decisions get made without the full picture.
Agent workflows chain multiple skills into one command.
/welcome/research-synthesis-engine in Claude to run the skill/user-interview-analyzerTransform interview transcripts into structured insights with quotes, patterns, and recommendations.
/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.
/journey-map-creatorBuild detailed customer journey maps that identify pain points and opportunities across touchpoints.
Yes. Ask for the jobs lens, or give it research about buying or switching decisions. It writes job stories ("When [situation], I want to [motivation], so I can [expected outcome]"), maps the four forces of progress (push, pull, anxiety, habit), and turns each feature request in your sources into the job behind it. This replaces the former JTBD Extractor skill.
JTBD is a framework that focuses on the underlying goal customers are trying to achieve, rather than their demographic or the features they request. It helps you understand the "job" your product is "hired" to do.
Research synthesis combines findings from multiple research activities (interviews, surveys, analytics) into coherent insights. It identifies patterns, contradictions, and key takeaways that inform product decisions.
Use affinity mapping: write insights on sticky notes, group related ones, identify themes. Look for patterns across sources. Distinguish between what users say, what they do, and what they need.
Lead with insights, not methodology. Use the format: "We learned [insight] which means [implication] so we should [recommendation]." Include supporting quotes but don't overwhelm with data.
Get every skill running in a system that knows your company, product, and customers.
Every skill + your company context in one system.