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discovery-interview-guide发现采访指南

Agent Skill

discovery-interview-guide 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

218

周安装

9

GitHub Stars

283

下载量

71
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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:discovery-interview-guide(发现采访指南)
来源仓库:https://github.com/mohitagw15856/pm-claude-skills
仓库路径:skills/discovery-interview-guide
安装命令:
npx skills add https://github.com/mohitagw15856/pm-claude-skills --skill discovery-interview-guide
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/mohitagw15856/pm-claude-skills --skill discovery-interview-guide

简介

discovery-interview-guide 专注于行为导向的深度访谈设计,拒绝未来假设类提问,聚焦过往真实经历。

  • 适用于产品经理、UX 研究员构建用户洞察体系,尤其擅长挖掘隐性需求与决策动因。
  • 采用故事线结构引导对话,结合五问法层层深入,确保问题始终围绕已验证的问题展开。
  • 输出为可复用的访谈指南,但实际执行需人工介入以确保语境适配性与伦理合规性。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Discovery Interview Guide Skill

Design interviews that surface genuine insight — not validation of what you already believe. Every guide follows a story-based, past-behaviour-focused structure.

Core Principles

  1. Never ask about the future. "Would you use X?" tells you nothing. "Tell me about the last time you did X" tells you everything.
  2. Interview for behaviour, not opinion. Opinions are cheap. Behaviour is evidence.
  3. The 5 Whys. Every surface answer is a door. Keep opening doors.
  4. Confirm the problem before exploring the solution. Never show a prototype until you've confirmed the pain exists unprompted.

Interview Structure (60 minutes standard)

1. Warm-Up (5 min)

Build rapport. Get them talking. Don't discuss the topic yet.

  • "Tell me a bit about your role and what a typical week looks like for you."
  • "What tools do you rely on most day-to-day?"

2. Context Setting (10 min)

Understand their world before diving into the problem space.

  • "Walk me through how you currently [handle the domain area]."
  • "What does that process look like from start to finish?"
  • "Who else is involved when you do this?"

3. Problem Exploration (25 min) — THE CORE

Surface pain without leading.

  • "Tell me about the last time you had to [relevant task]. What happened?"
  • "What was the hardest part of that?"
  • "How did you handle it?"
  • "What did you try before settling on that approach?"
  • "What does it cost you when this goes wrong?" (time, money, stress, reputation)
  • "If you could wave a magic wand and change one thing about this process, what would it be?"

⚠️ Do not mention your product or feature during this phase.

4. Current Solutions (10 min)

Understand the competitive landscape from their perspective.

  • "What tools or workarounds do you use today for this?"
  • "What do you like about [current solution]? What frustrates you?"
  • "Have you tried other approaches? What happened?"

5. Wrap-Up (10 min)

  • "Is there anything about this topic we haven't covered that you think I should know?"
  • "Is there anyone else you'd recommend I speak to?"
  • "Would you be open to a follow-up if I have more questions?"

Output Format

Discovery Interview Guide — [Topic] — [Date]

Research Goal: [One sentence: what decision will this research inform?] Target Participant Profile: [Role, company size, behaviour qualifier]

Screener Questions (for recruiting):

  1. [Question] → Must answer: [Y/N or specific]
  2. [Question] → Must answer: [Y/N or specific]
  3. [Disqualifier question] → Disqualify if: [answer]

Interview Guide:

[Full structured guide using the format above, customised to the specific research topic]

Synthesis Template (fill after each interview):

  • Key quote: "[verbatim]"
  • Core pain: [1 sentence]
  • Current workaround: [what they're doing today]
  • Intensity (1–5): [how painful is this?]
  • Surprise/unexpected finding: [anything that challenged your assumptions]

Pattern Detection (after 5+ interviews):

  • Pain mentioned by [X/N] participants: [theme]
  • Workaround used by [X/N] participants: [theme]
  • Most emotionally charged moment in interviews: [observation]

Required Inputs

Ask the user for these if not provided:

  • Research topic or question (what decision will this inform?)
  • Target participant profile (role, behaviour, company type)
  • Session length (30 / 45 / 60 / 90 minutes)
  • Number of interviews planned
  • Known hypotheses to test or avoid confirming prematurely (optional)

Quality Checks

  • No future-tense questions ("would you...") — only past-behaviour questions
  • Product or solution not mentioned until after pain is confirmed
  • Questions open-ended (cannot be answered yes/no)
  • Synthesis template included for per-session notes
  • Screener questions identify and disqualify wrong participants

Guidelines

  • Recommend 5–8 interviews to reach thematic saturation for most discovery questions
  • Always record with permission — transcripts beat notes
  • If user is new to interviewing: remind them to stay silent after asking a question (aim for 80/20 participant-to-interviewer talking ratio)
  • Never synthesise during the interview — do it after, when you can look across sessions
  • Flag confirmation bias: if user writes questions that lead toward a predetermined answer, rewrite them as open-ended alternatives

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

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按下载量换算25

Claude

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按下载量换算19

Cursor

19.19%
按下载量换算14

Gemini CLI

8.88%
按下载量换算6

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权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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