What problem does it solve? Marketing and product decisions are often based on assumptions rather than what customers actually say and struggle with. This Skill turns raw research assets (transcripts, surveys, support tickets, reviews) and online community data into structured insights, personas, and voice-of-customer language. ## Core Features & Use Cases - Existing Asset Analysis: Extract jobs-to-be-done, pain points, trigger events, desired outcomes, and exact customer vocabulary from interview transcripts, surveys, support tickets, NPS responses, and win/loss notes. - Digital Watering Hole Research: Mine Reddit, G2, Capterra, Hacker News, LinkedIn, app store reviews, and niche communities for unfiltered customer language, with per-source playbooks in the references guide. - Persona Generation: Build evidence-based personas with confidence labels, minimum sample thresholds, and proxy-source strategies for products without first-party reviews. - Use Case: You have 20 customer interview transcripts and want messaging for your homepage. The Skill extracts themes with frequency and intensity scoring, produces a VOC quote bank, then hands off to the copywriting skill. ## Quick Start Analyze my customer interview transcripts and produce a research synthesis report with themes, representative quotes, and a persona draft.