inductive-reasoning

从观测数据中归纳出可能的模式、趋势或通用规则并评估置信度。

从具体观测、案例或数据点里归纳出可能的模式或通用规则，并把置信度、样本代表性和例外情况一并写清楚。适合在用户调研、事件复盘或样本有限时需要估计趋势和因果倾向的时候用。结果是概率性的结论和后续验证问题，不会给出绝对答案但会明确不确定性。

# Inductive Reasoning

Use this skill to infer a likely pattern or general rule from observed evidence.

## Method Notes

- Inductive reasoning moves from specific observations to a broader pattern or generalization.
- Inductive conclusions are probabilistic, not certain.
- The method should make sample size, representativeness, exceptions, and confidence visible.
- It is useful for customer research, repeated stakeholder behavior, market signals, operational symptoms, and trend interpretation.

## Required Inputs

Collect or infer these inputs before execution:

- observations, examples, cases, data points, quotes, or events
- source and timing of observations
- population or context being