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five-whys

Use for the 5 Whys, or when the user wants the root cause of a failure: "why did this happen?", "this keeps breaking", "write the postmortem", "find the real cause". Asks why repeatedly with evidence at each step, then sets countermeasures. Skip for one-off typos or when the cause is already proven.

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Five Whys

A root-cause method from the Toyota Production System. Ask "why" of the previous answer until you reach a cause you can change, and check each link with evidence.

When to use

  • An incident, outage, defect, missed deadline or process failure needs its real cause.
  • A problem repeats after quick fixes.
  • A postmortem or retrospective needs a causal chain, not a list of symptoms.

Skip: a typo or one-line bug whose cause is already visible, or questions about metrics that need data analysis rather than a causal chain.

Before you start

  1. State in one block: Problem statement (what happened, where, when, impact, in observable terms) and Pass (Chain, Check, Branch if needed, Countermeasures).
  2. Gather first. Read logs, commits, tickets, timelines and configs before answering any "why". Mark each answer verified (you saw evidence) or hypothesis (plausible, not yet checked). Ask up to 3 questions only for facts tools cannot reach.
  3. Light path. Small ask: the chain in 3-5 lines, one countermeasure per root cause.

Steps

1. Chain

Write the problem, then ask why. Each "Why" answers the previous answer, not the original problem.

#Why did that happen?StatusEvidence
1...verified / hypothesisfile, log line, ticket

Five is a guide. Stop earlier or later when you reach a cause that is (a) within the team's control and (b) such that fixing it would have prevented the problem.

2. Check

  • Reverse test: read the chain from the bottom up with "therefore". Each step must follow from the one below.
  • Stop test: if the last answer is "human error", "not enough time" or "bad luck", ask why once more. These describe a missing safeguard, not a cause.
  • Mark any link still hypothesis; list how to verify it.

3. Branch (only if causes split)

When one "why" has several valid answers, follow each as its own chain. If the causes spread across many areas, group them under People, Process, Tools, Environment, Data or Measurement (a fishbone view) and chain the top two or three.

4. Countermeasures

For each root cause:

  • Contain: stop the damage now.
  • Fix: remove the cause.
  • Prevent: a check or guardrail so it cannot recur.
  • Owner and date, or "to be assigned".

Pitfalls

  • Jumping to a favorite cause and filling the chain backward to justify it.
  • Asking "who" instead of "why". Blame ends the chain early; look for the missing safeguard.
  • Single-chain thinking on a complex failure. Branch when there are several causes.
  • Stopping at a cause nobody can change (for example "the vendor was down") without asking why there was no fallback.
  • Treating hypothesis rows as findings in the summary.

Worked example: references/example.md.

Checklist

  • Problem statement is observable (what, where, when, impact)
  • Each why answers the previous answer; each row is verified or hypothesis
  • Reverse test passed; no chain ends at "human error"
  • Branches followed where causes split
  • Countermeasures cover contain, fix, prevent, with owners

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概要と使いどころ

Use for analytical thinking, or when a question needs breaking down and evidence: "why did metric X drop?", "what drives this?", "break this down", "what data do we need?". Builds a tree, hypotheses and evidence, ends with an answer and key uncertainty. Skip for quick verdicts.

日本語の概要は準備中です。原文の説明を表示しています。

ysskrishna/ai-agent-skills122026年10月8日 更新

Use for creative thinking, or when the user wants many fresh options before choosing: "give me ideas", "brainstorm names", "other ways to do this", "think outside the box". Diverges first, then picks. Skip when one answer is wanted or the task is pure execution.

日本語の概要は準備中です。原文の説明を表示しています。

ysskrishna/ai-agent-skills122026年10月8日 更新

Use for critical thinking, or when the user wants a claim, plan or decision checked for weak spots: "is this right?", "what am I missing?", "poke holes", "sanity check", "devil's advocate", "red team this". Skip for execution-only tasks and wording edits.

日本語の概要は準備中です。原文の説明を表示しています。

ysskrishna/ai-agent-skills122026年10月8日 更新

Use for design thinking, or when a product or service problem needs user understanding before solutions: "what do users really need?", "how might we...", "plan a discovery sprint", "validate this concept". Skip when the spec is frozen or the task is code maintenance.

日本語の概要は準備中です。原文の説明を表示しています。

ysskrishna/ai-agent-skills122026年10月8日 更新

Use for ethical thinking, or when a plan could harm or unfairly burden people: "should we do this?", "is this fair?", "privacy or bias risk", "who gets hurt?". Maps stakeholders, harms, power and consent. Skip for legal advice, neutral fact lookups and implementation-only work.

日本語の概要は準備中です。原文の説明を表示しています。

ysskrishna/ai-agent-skills122026年10月8日 更新

Use for Fermi estimation, or when a rough number is needed fast: "roughly how many...", "ballpark the cost", "estimate capacity or market size", "is this even feasible?". Decomposes, uses ranges and sanity-checks. Skip when exact data is available or a precise calculation is wanted.

日本語の概要は準備中です。原文の説明を表示しています。

ysskrishna/ai-agent-skills122026年10月8日 更新

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