What problem does it solve? Teams often build positioning, messaging, and personas on assumptions instead of traceable customer evidence. This Skill turns raw research material — interview transcripts, support tickets, surveys, NPS verbatims, and online reviews — into synthesized themes, verbatim quote banks, and personas where every claim resolves to a named source. ## Core Features & Use Cases - Two research modes: Analyze existing assets (transcripts, surveys, tickets, win/loss notes, NPS) or gather new intel from digital watering holes (Reddit, G2, Capterra, Hacker News, LinkedIn, app stores, SparkToro). - Structured extraction framework: Captures jobs to be done, pain points, trigger events, desired outcomes, customer vocabulary, and alternatives considered, then clusters by theme with frequency and intensity scoring. - Evidence guardrails: Confidence labels (high/medium/low), minimum sample thresholds, recency windows, sample-bias checks, and a provenance gate requiring every quote to resolve to a dated capture record. - Use Case: You have 20 customer interview transcripts and six months of support tickets. The Skill extracts pains, triggers, and verbatim language, scores themes by frequency and intensity, and delivers a research synthesis report plus a VOC quote bank organized by theme. ## Quick Start Use suede-customer-research to analyze my customer interview transcripts and build an evidence-backed persona with a quote bank.
