What problem does it solve? Conversion optimization often relies on guesses instead of customer evidence. This Skill grounds every hypothesis in Dylan Ander's Billion-Dollar Data Funnel (BDF), a six-source research framework that combines surveys, raw analytics, competitor analysis, user testing, expert review, and screen recordings so tests are based on what customers actually say and do. ## Core Features & Use Cases - Survey Design: Provides three book-accurate templates (post-purchase, exit-intent, customer interview) with question-writing rules that favor "What" and "How" questions over yes/no formats. - User Testing Protocol: Structures 3-8 user sessions and classifies findings into Pain Points, Friction, and Unmet Needs taxonomies. - MCP-Guided Research Targeting: Includes Heatmap MCP recipes that identify high-traffic/low-RPS pages for user testing and high-abandonment funnel steps for exit-intent survey placement. - Use Case: A store owner asks why visitors are not buying. The Skill deploys an exit-intent survey on the highest-abandonment checkout step, runs five customer interviews, confirms themes against MCP behavioral data, and produces ICE-ready test hypotheses. ## Quick Start Ask Claude to design a post-purchase customer survey and identify which pages deserve user testing based on Heatmap analytics data.
