romainsimon/skills-for-decision-making0°

tracking-beliefs

仓库创建 2026年7月26日最近提交 1 天前SkillHot 收录 18 小时前

这个 Skill 做什么

把指标里的噪声和真实信号分清楚，不是跟着仪表盘最新数字瞎动作，而是用证据去更新对业务状态的信念。适合流量、营收或关键指标突然波动、团队要立刻反应或怀疑数据异常时使用。特点是用贝叶斯式的过滤和对备选解释的比较，告诉你这波变化是真趋势还是偶发波动。

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Separates signal from noise in metrics you cannot observe directly, updating a belief from evidence instead of reacting to the latest reading - Bayesian updates over competing explanations, and a filter that says whether this week's move is real. Use when a metric moves and someone wants to act, when diagnosing why traffic or revenue changed, when a dashboard number contradicts intuition, or when deciding whether a trend is real yet.

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# Tracking beliefs

You never observe the state of the business. You observe noisy readings of it. Revenue
lags settlement, refunds and disputes arrive late, annual plans lump, analytics drops
traffic to blockers and bots, and attribution is approximate everywhere.

Two operations, and almost every metric argument needs one of them:

- **Filtering** - given a series of noisy readings, what is the underlying level, and is
  the latest move larger than noise explains?
- **Updating** - given evidence, how should belief shift across competing explanations?

## Workflow

```
- [ ] 1. Say what you are actually measuring, and what the reading is a proxy for
- [ ] 2. Decide whether the latest move i

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