{"skill":{"slug":"bookforge-conversation-data-quality-analyzer","displayName":"Conversation Data Quality Analyzer","summary":"Analyze customer conversation notes or transcripts after a meeting to classify every statement as fact, compliment, fluff, or idea — separating real signal f...","tags":{"bad-data":"1.0.0","bookforge":"1.0.0","compliments":"1.0.0","conversation-analysis":"1.0.0","customer-discovery":"1.0.0","data-quality":"1.0.0","false-positives":"1.0.0","fluff":"1.0.0","latest":"1.0.0"},"stats":{"comments":0,"downloads":66,"installsAllTime":0,"installsCurrent":0,"stars":0,"versions":1},"createdAt":1777142083156,"updatedAt":1777142208947},"latestVersion":{"version":"1.0.0","createdAt":1777142083156,"changelog":"Initial release: Conversation Data Quality Analyzer 1.0.0\n\n- Analyzes post-meeting customer conversation notes or transcripts for data quality.\n- Parses customer statements and classifies each as fact, compliment, fluff, or idea according to robust rules adapted from \"The Mom Test.\"\n- Helps identify reliable evidence versus false positives, vague praise, and unvalidated data in conversation records.\n- Guides users to provide necessary inputs (notes and problem area) and adapts to missing context by prompting or adjusting analysis detail.\n- Not designed for question/writing review or commitment signal evaluation—focuses strictly on post-conversation data quality.","license":"MIT-0"},"metadata":{"os":null,"systems":null},"owner":{"handle":"quochungto","userId":"s176b6gfk8djgcz320d83ta4e184bx1v","displayName":"Hung Quoc To","image":"https://avatars.githubusercontent.com/u/88069966?v=4"},"moderation":null}