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pentaxis93

questions-methodology

by pentaxis93

AI and I - a blog about human-AI collaboration

0🍴 0📅 Jan 23, 2026

SKILL.md


name: questions-methodology description: "Question template for Methodology stories ('Here's how to do X'). Arc: Problem → Experimentation → Discovery → Refinement → Teaching. Use with question-design skill."

Methodology Story Questions

Story type: "Here's how to do X" Arc: Problem → Experimentation → Discovery → Refinement → Teaching


The Shape

Methodology stories share a way of doing things that works. But they're not manuals - they're stories of how the method was discovered and refined. The reader learns both WHAT to do and WHY it works.

What makes it work: Earned authority. The method came from real problems, real failures, real refinement. It's not theory - it's practice that's been tested.


Question Sequence

Opening: The Problem

What drove the search for a method.

  • "What problem were you trying to solve?"
  • "What was frustrating you?"
  • "What wasn't working with existing approaches?"
  • "How long did you struggle before you found something that worked?"

Experimentation: What You Tried

The search process - including failures.

  • "What did you try first?"
  • "What didn't work? What did you learn from that?"
  • "Where did you look for ideas?"
  • "What assumptions did you have to abandon?"

Discovery: Finding What Works

The core of the method emerging.

  • "When did you find something that actually worked?"
  • "What was different about this approach?"
  • "How did you know it was working?"
  • "Was it a sudden breakthrough or gradual improvement?"

Refinement: Making It Reliable

From "it worked once" to "it works consistently."

  • "How did you test it? How did you break it?"
  • "What edge cases did you discover?"
  • "How has the method evolved since you first found it?"
  • "What's the simplest version that still works?"
  • "What's essential vs. what's optional?"

Teaching: Transmission

How to help others learn it.

  • "How do you explain this to someone new?"
  • "What do people usually get wrong at first?"
  • "What's the first thing someone should try?"
  • "What prerequisites does this require?"
  • "How do you know when someone has really got it?"

Tacit Knowledge Triggers (Methodology-Specific)

  • "What's the thing you do that you don't even think about anymore?"
  • "What would break if you stopped doing [specific step]?"
  • "What variation have you developed that nobody else does?"
  • "What's the 'feel' of doing this right vs. wrong?"
  • "What can't be written down - what has to be experienced?"

Walking Adaptation

First quarter: Problem + early Experimentation (establish stakes) Second quarter: Experimentation failures + Discovery (the search) Third quarter: Refinement (the craft of making it work) Final quarter: Teaching (how to transmit it)

The Refinement section often surfaces tacit knowledge - they may not know what they know until they try to explain it.


Example: AI Collaboration Method

Opening: "What wasn't working in your early attempts to use AI for coding?" Experimentation: "What approaches did you try that failed?" Discovery: "When did you find something that actually worked? What was different?" Refinement: "How has your method evolved? What did you add, what did you drop?" Teaching: "If you were teaching someone your approach, what's the first thing you'd have them try?"


The methodology story earns its authority through honest experimentation.

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