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Gr User Interview

  • 108 installs
  • 66 repo stars
  • Updated August 4, 2026
  • gingiris-1031/gingiris-skills

Run user interviews to find PMF with a framework for recruitment, question design, execution, and data synthesis based on 937 HeyGen interviews.

About

A user-interview framework for finding product-market fit, covering recruitment, question design, execution, and synthesis. A developer uses it during customer discovery to run interviews that surface real behavior rather than opinions.

  • Five principles including asking behavior not opinion
  • Pause-and-review after 5 interviews and mirror the user's words

Gr User Interview by the numbers

  • 108 all-time installs (skills.sh)
  • Ranked #1,332 of 3,282 Productivity & Planning skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/gingiris-1031/gingiris-skills --skill gr-user-interview

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Listed on Skillselion
Installs108
repo stars66
Last updatedAugust 4, 2026
Repositorygingiris-1031/gingiris-skills

What it does

Run user interviews to find PMF with a framework for recruitment, question design, execution, and data synthesis based on 937 HeyGen interviews.

Files

gr-user-interview/SKILL.mdMarkdownGitHub ↗

gr-user-interview — 用户访谈

什么时候用

  • "我要找 PMF,怎么做访谈"
  • "用户反馈很杂,不知道抓哪个"
  • "我采访了 5 个人,都没 insight"
  • "怎么避免用户说假话"

---

核心原则(5 条)

1. 问 behavior,不问 opinion ❌ "你会用这个功能吗?" → 会得到礼貌性"yes" ✅ "上次遇到 X 问题是什么时候?你当时做了什么?" → 得到真实行为

2. 20 分钟访谈 >> 5 个 feature 问题 深度一个场景,比问 5 个浅问题更有价值

3. 录音 / 整稿 > 当场记笔记 当场记会错过微表情和语气

4. 5 人后暂停,复盘 不要连访 20 人才总结,5 人后大概率已看到模式

5. 用词镜像 用户用什么词,你也用什么词 —— 不要替换成产品语言

---

访谈结构模板(20-30 分钟)

阶段时长问什么
Warm-up2 min"你今天做了什么?"(开放式,松弛下来)
Discover5 min"上次做 X 是什么时候?能讲讲吗?"
Deep-dive10 min"当时你用了什么工具?怎么用的?哪里卡住?"
Alternative5 min"有没有试过其他方法?为什么没继续?"
Wrap-up3 min"如果有一个魔法能解决这个问题,它会怎么工作?"

---

深度参考

📂 https://github.com/Gingiris/gingiris-user-interview

  • references/templates.md — 不同阶段(Discovery / Validation / Retention)的问题模板
  • HeyGen 937 访谈案例拆解

---

合成流程

1. 每次访谈后 24h 内整理 3 张卡片:

  • Pain(用户的真实痛)
  • Workaround(他们目前怎么凑合)
  • Quote(可引用的原话)

2. 每 5 个访谈做一次复盘:

  • 重复出现 ≥ 3 次的 Pain → 候选 PMF 方向
  • 重复出现 ≥ 2 次的 Workaround → 竞品信号

3. 每 20 个访谈做一次决策:

  • 继续这个假设 / 换方向 / 需要更多数据

---

级联推荐

  • 访谈发现新 PMF 方向 → gr-blog-post 写一篇(验证市场反应)
  • 访谈发现对手名字被提 ≥ 3 次 → gr-competitor 深度分析
  • PMF 明确 → gr-b2b-growthgr-oss-marketing 启动增长
  • 需要招募访谈对象 → 从 gr-seo-patrol 的 GSC 流量挑读者

---

反模式

  • ❌ 问 "你愿意付费吗" → 100% 是假答案
  • ❌ 发问卷替代访谈(信息密度差 10x)
  • ❌ 只访现有用户不访流失用户(流失才是真金)
  • ❌ 一次访谈超过 45 分钟(疲劳 → 敷衍)
  • ❌ 访谈中推销自己产品(污染答案)

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