What problem does it solve? Marketing and product decisions are often based on assumptions instead of what customers actually say and struggle with. This Skill turns raw research material — transcripts, surveys, support tickets, G2 reviews, Reddit threads — into structured insights like jobs-to-be-done, pain themes, verbatim quote banks, and evidence-based personas. ## Core Features & Use Cases - Three research modes: Analyze existing assets (transcripts, surveys, tickets), mine online watering holes (Reddit, G2, Hacker News, app stores, SparkToro), or run primary research (interviews and PMF surveys). - Structured extraction framework: Captures jobs to be done, pain points, trigger events, desired outcomes, customer vocabulary, and alternatives considered, with high/medium/low confidence labels and sample-bias guardrails. - Persona and deliverable generation: Produces research synthesis reports, VOC quote banks, JTBD maps, competitive intelligence summaries, and personas built from at least 5-10 real data points. - Use Case: You have 20 customer interview transcripts and want to improve homepage messaging. The Skill extracts recurring pain themes and money quotes, scores them by frequency and intensity, then hands off the VOC language to a copywriting workflow. ## Quick Start Analyze my customer interview transcripts and online reviews to identify the top pain themes and build a persona for my target segment.
