Back to Details

thinking-cynefin

Compare original and translation side by side

🇺🇸

Original

English
🇨🇳

Translation

Chinese

Cynefin Classification

Cynefin分类法

Classify by cause-effect, then use only the matching response mode. Wrong-domain method is the failure mode.
按因果关系进行分类，然后仅使用匹配的响应模式。错误域的方法是失败模式。

When to Use

适用场景

  • Unsure whether to run a playbook, analyze, probe, or stabilize.
  • A method keeps failing and domain mismatch is plausible.
  • A novel or mixed problem needs approach selection before solution work.
  • 不确定是应该执行运行手册、进行分析、开展探索还是稳定局面时。
  • 某一方法持续失败，且可能存在域不匹配问题时。
  • 面对全新或混合问题，需要先选择方法再开展解决方案工作时。

When NOT to Use

不适用场景

  • Domain and method are already agreed—execute.
  • Task is finding a specific cause, not choosing an approach.
  • Classification done; switch to the domain method—do not re-label endlessly.
  • Pure mechanical edits with no approach uncertainty.
  • 域和方法已达成共识——直接执行即可。
  • 任务是寻找特定原因，而非选择方法时。
  • 已完成分类；切换至对应域的方法——不要无休止地重新标记。
  • 纯机械编辑，不存在方法不确定性时。

Procedure

流程

  1. State the unit. Name the decision, incident, or subsystem; if mixed, list separable parts.
  2. Probe cause-effect. Is the link obvious, expert-analyzable, retrospective only, or imperceptible in turbulence? Check predictability, urgency, and probe safety.
  3. Assign one domain per unit:
    • Clear — obvious → Sense → Categorize → Respond with a runbook.
    • Complicated — expert-analyzable → Sense → Analyze → Respond; several valid answers.
    • Complex — emergent → Probe → Sense → Respond with safe-to-fail probes; amplify/dampen signals.
    • Chaotic — no safe sensing time → Act → Sense → Respond; stabilize first.
    • Disorder — unknown → split and classify each part.
  4. Mismatch check. Reject Clear if its runbook fails; Complicated if analysis cannot predict; Complex if probing is unsafe; Chaotic once safe probing becomes possible.
  5. Commit and stop. Output domain + first actions. Re-classify only on evidence of domain shift.
Stop when every unit has one domain, first actions, and a falsifier—or disorder is decomposed.
  1. 明确单元。命名决策、事件或子系统；若为混合问题，列出可拆分的部分。
  2. 探究因果关系。因果关联是明确的、可由专家分析的、仅可追溯的，还是在混乱中难以察觉的？检查可预测性、紧迫性和探索安全性。
  3. 为每个单元分配一个域：
    • Clear — 因果关系明确 → 感知 → 分类 → 按运行手册响应。
    • Complicated — 可由专家分析 → 感知 → 分析 → 响应；存在多个有效答案。
    • Complex — 涌现式 → 探索 → 感知 → 采用安全失败的探索方式响应；放大/抑制信号。
    • Chaotic — 无安全感知时间 → 行动 → 感知 → 响应；先稳定局面。
    • Disorder — 未知 → 拆分并分类每个部分。
  4. 不匹配检查。若运行手册失效，则排除Clear域；若分析无法预测结果，则排除Complicated域；若探索存在风险，则排除Complex域；一旦可以安全探索，则排除Chaotic域。
  5. 确认并停止。输出域名称 + 初始行动。仅当有证据表明域发生转移时才重新分类。
停止条件：每个单元都有对应的域、初始行动和证伪条件——或已拆解无序状态。

Output

输出格式

text
unit: <decision/incident/part>
domain: clear | complicated | complex | chaotic | disorder
evidence: <cause-effect basis>
response_mode: <Sense-Categorize-Respond | Sense-Analyze-Respond | Probe-Sense-Respond | Act-Sense-Respond | decompose>
first_actions: <1-3 concrete steps>
falsifier: <what forces reclassification>
parts: <only if disorder>
text
unit: <决策/事件/部分>
domain: clear | complicated | complex | chaotic | disorder
evidence: <因果关系依据>
response_mode: <Sense-Categorize-Respond | Sense-Analyze-Respond | Probe-Sense-Respond | Act-Sense-Respond | decompose>
first_actions: <1-3个具体步骤>
falsifier: <触发重新分类的条件>
parts: <仅当域为disorder时填写>

Verification

验证

  • Falsify: Reliable prediction → not Complex. No safe probe → Chaotic. Working runbook → Clear.
  • Stop: Stop classifying once the matched action is clear.
  • Over-application guard: Do not call work Complex to avoid analysis or Complicated to avoid a standard fix. One label per unit; decompose multi-domain work.
  • 证伪：可可靠预测 → 不属于Complex域。无法安全探索 → 属于Chaotic域。运行手册有效 → 属于Clear域。
  • 停止：一旦匹配的行动明确，立即停止分类。
  • 过度应用防范：不要为了避免分析而将工作归为Complex域，也不要为了避免标准修复而归为Complicated域。每个单元对应一个标签；拆解多域工作。