What problem does it solve? Teams often make positioning, product, and copy decisions based on assumptions rather than what customers actually say. This Skill turns raw research material — transcripts, surveys, support tickets, reviews, and community posts — into structured insights like themes, personas, and voice-of-customer quote banks. ## Core Features & Use Cases - Existing Asset Analysis: Extracts jobs-to-be-done, pain points, trigger events, desired outcomes, and exact customer language from transcripts, surveys, support tickets, NPS responses, and win/loss notes. - Digital Watering Hole Research: Gathers unfiltered customer language from Reddit, G2, Capterra, Hacker News, LinkedIn, app store reviews, and SparkToro based on your ICP type. - Synthesis with Confidence Scoring: Clusters findings by theme, scores frequency and intensity, labels every insight with high/medium/low confidence, and flags sample bias. - Persona Generation: Builds evidence-based personas (pains, triggers, objections, vocabulary, channels) only when 5-10+ data points per segment exist. - Use Case: You have 20 sales call transcripts and want to know why prospects churn. The Skill extracts recurring churn reasons, segments them by customer profile, and delivers a synthesis report with representative verbatim quotes. ## Quick Start Analyze these customer interview transcripts and produce a research synthesis report with the top themes, confidence levels, and representative quotes.
