跳到正文
cccskills
免费在 GitHub 公开

nw-interviewing-techniques

Mom Test questioning toolkit, JTBD analysis, interview conduct, assumption testing framework, and hypothesis design

中文简介正在准备中。当前显示原文说明。

查看安装方法

包含的文件(1)

  • SKILL.md4.0 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Interviewing Techniques

Questioning Toolkit by Purpose

Problem Discovery

Understand if problem is real and worth solving.

  • "Tell me about the last time you [encountered this problem]."
  • "What was the hardest part about that?"
  • "What did you do about it?" | "What don't you love about that solution?" | "What else have you tried?"

Understanding the Job

Map the job-to-be-done and desired outcomes.

  • "What are you ultimately trying to accomplish?"
  • "Walk me through your process step by step."
  • "At each step, how do you know if you've succeeded?"
  • "What slows you down or frustrates you most?" | "What workarounds have you created?"

Probing Assumptions

Challenge beliefs and uncover truth.

  • "What makes you believe that?" | "What would need to be true for this to work?"
  • "What could we assume instead?" | "What would change your mind?"

Testing Commitment

Distinguish interest from commitment.

  • "Would you be willing to [specific action]?" | "What would you pay for this?"
  • "Can you introduce me to someone else with this problem?" | "When can we schedule a follow-up?"

Exploring Implications

Understand impact and urgency.

  • "If this were solved, what would change?" | "What would that enable you to do?"
  • "What would happen if we didn't solve this?"

Interview Conduct Rules

Do: Ask about past specifics | Open, non-directive questions | Seek commitment not praise | Keep informal | 80% listening | Talk about their life first

Avoid: Future behavior questions | Leading questions | Accepting compliments as validation | Talking >20% | Mentioning idea before understanding problem | Formal settings

Assumption Challenging

Triggers

Challenge when: belief without evidence | prediction about future | negative feedback dismissed | skipping to solution | single data point relied on

Challenge Format

  1. "What evidence supports this?" -- specific past examples
  2. "What would disprove this?" -- falsification criteria
  3. "What's the opposite assumption?" -- explore alternatives
  4. "Who would disagree and why?" -- disconfirming perspectives

Tone: curious and supportive, not confrontational -- goal is truth-seeking.

Assumption Testing Framework

Assumption Categories

CategoryCore Question
ValueWill customers want this?
UsabilityCan customers use this?
FeasibilityCan we build this?
ViabilityDoes this work for our business?

Risk Scoring

FactorWeightLow (1)Medium (2)High (3)
Impact if wrong3Minor adjustmentSignificant reworkSolution fails
Uncertainty2Have dataMixed signalsSpeculation
Ease of testing1Days, low costWeeks, moderateMonths, high cost

Risk Score = (Impact x 3) + (Uncertainty x 2) + (Ease x 1)

PriorityScoreAction
Test first> 12Immediate
Test soon8-12Schedule
Test later< 8Backlog

Hypothesis Template

We believe [doing X] for [user type] will achieve [outcome].
We will know this is TRUE when we see [measurable signal].
We will know this is FALSE when we see [counter-signal or absence of signal].

Test Methods by Category

CategoryMethods
ValueLanding page, Fake door, Mom Test interviews
UsabilityPrototype testing, 5-second tests, Task completion
FeasibilitySpike, Technical prototype, Expert review
ViabilityLean Canvas review, Stakeholder interviews

Decision Rules

ResultCriteriaAction
Proven>80% meet success criteriaProceed
Disproven<20% meet criteriaPivot or kill
Inconclusive20-80%Increase sample, try different method, segment

评价

还没有评价。欢迎分享你的使用感受。

评论

无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。

还没有评论。来写第一条吧。

提交后会立即公开。请勿填写邮箱、电话等个人信息。URL 最多 2 个。

0 / 1000 字

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

同一仓库的技能

Review dimensions for validating agent quality - template compliance, safety, testing, and priority validation

中文简介正在准备中。当前显示原文说明。

nWave-ai/nWave6212026年9月16日 更新

Review dimensions for validating agent quality - template compliance, safety, testing, and priority validation

中文简介正在准备中。当前显示原文说明。

nWave-ai/nWave6212026年9月16日 更新

Review dimensions for acceptance test quality - happy path bias, GWT compliance, business language purity, coverage completeness, walking skeleton user-centricity, priority validation, observable behavior assertions, traceability coverage, and walking skeleton boundary proof

中文简介正在准备中。当前显示原文说明。

nWave-ai/nWave6212026年9月16日 更新

Detailed 5-phase workflow for creating agents - from requirements analysis through validation and iterative refinement

中文简介正在准备中。当前显示原文说明。

nWave-ai/nWave6212026年9月16日 更新

5-layer testing approach for agent validation including adversarial testing, security validation, and prompt injection resistance

中文简介正在准备中。当前显示原文说明。

nWave-ai/nWave6212026年9月16日 更新

Architectural style selection decision matrices, trade-off analysis, structural enforcement rules, and combination patterns. Load when choosing or evaluating architecture styles.

中文简介正在准备中。当前显示原文说明。

nWave-ai/nWave6212026年9月16日 更新

查看 nWave-ai 的全部技能

报告此技能的问题