pm-market-research

Analyze user feedback at scale — sentiment analysis, theme extraction, and segment-level insights

Analyze the competitive landscape — identify competitors, compare strengths and weaknesses, find differentiation opportunities

Search Jupiter's research library and surface relevant findings for a topic, PRD, or question

Comprehensive user research — build personas, segment users, and map the customer journey from research data

Synthesize a body of user research — interviews, surveys, usability tests, NPS — into JTBD themes, segment patterns, and recommended actions

Analyze competitors with strengths, weaknesses, and differentiation opportunities. Identifies direct competitors and maps the competitive landscape. Use when doing competitive research, preparing a competitive brief, or finding differentiation opportunities.

Create an end-to-end customer journey map with stages, touchpoints, emotions, pain points, and opportunities. Use when mapping the customer experience, identifying friction points, improving onboarding, or visualizing the user journey.

Search Jupiter's user research library on Google Drive and surface relevant findings for a topic, question, or PRD. Scans both research folders, identifies relevant studies, reads their reports, and outputs findings either as a quick reference or as a formatted PRD evidence block. Use when writing a PRD, validating a problem statement, or checking what Jupiter already knows about a topic before starting new research.

Identify 3-5 potential customer segments with demographics, JTBD, and product fit analysis. Use when exploring market segments, identifying target audiences, evaluating new markets, or learning how to segment a market.

Estimate market size using TAM, SAM, and SOM with top-down and bottom-up approaches. Use when sizing a market opportunity, estimating addressable market, preparing for investor pitches, or evaluating market entry.

Analyze user feedback data to identify segments with sentiment scores, JTBD, and product satisfaction insights. Use when analyzing user feedback at scale, running sentiment analysis on reviews or surveys, or identifying satisfaction patterns.

Create refined user personas from research data — 3 personas with JTBD, pains, gains, and unexpected insights. Use when building personas from survey data, creating user profiles from research, or segmenting users for product decisions.

Synthesize a body of user research — interviews, surveys, usability tests, NPS responses, support tickets, or mixed sources — into structured insights, JTBD themes, segment patterns, and recommended actions. Use when someone has completed N interviews or studies and needs to make sense of them, asks to synthesize research findings, summarize user interviews, identify themes from feedback, or turn raw research into product decisions. Different from summarize-interview (single session) — this skill handles a corpus of research and produces insights at the strategic level. Commands: /synthesize-research, /research-synthesis

Segment users from feedback data based on behavior, JTBD, and needs. Identifies at least 3 distinct user segments. Use when segmenting a user base, analyzing diverse user feedback, or building a segmentation model.