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

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

Analyze competitors with three output modes: standard (comprehensive landscape analysis), ai-focused (AI-specific competitive dimensions including model quality and data moats), or battlecard (sales-ready one-pager). Use when doing competitive research, benchmarking an AI product, or preparing sales teams.

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.

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.

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.

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.