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gingiris-user-interview

Your activation rate is terrible but you don't know why. Users sign up and disappear. This gives you the framework to find out what's actually happening — from recruiting the right people to interview, to extracting the insight that changes your product. What's inside: • Recruitment scripts that actually get responses (paid vs organic channels) • JTBD question framework (what to ask, what NOT to ask) • PMF signal detection ("40% very disappointed" test + leading indicators) • Activation diagnosis (what happens in the first 3 minutes after signup) • Retention-first framework (churn analysis → intervention design) Built from: 500+ user interviews conducted across 150+ AI startups. HeyGen's 937 interviews to PMF as anchor case. Triggers: "user interview" | "user research" | "customer discovery" | "PMF" | "product-market fit" | "beta test" | "beta testing" | "cold start users" | "cold start operations" | "churn analysis" | "user grading" | "用户访谈" | "用户调研" | "冷启动" | "冷启动运营" | "Beta测试" | "流失分析" | "用户分级"

模型生成摘要(rules/v1 · 2026-09-27 06:37):Your activation rate is terrible but you don't know why
这是模型对公开材料的总结,不是官方声明,请以原链内容为准。

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