Claim strength
Every method is labeled descriptive, predictive or causal. The label travels with the number into every brief, so a correlation is never presented as an effect.
Measurement decides what Signal is allowed to claim. Descriptive methods size an opportunity, predictive methods forecast it, and only causal methods may promise an effect on the P&L. Every decision is registered with its control group before it starts, so nobody picks the result after the fact.
Every method is labeled descriptive, predictive or causal. The label travels with the number into every brief, so a correlation is never presented as an effect.
Each decision is pre-registered with a metric, at least two treatment and two control units, a start, an end, a readback date and a guardrail metric.
At least three periods before and two after, every observation used, a 95% interval and a parallel-trend check. The window is fixed, so it cannot be chosen to flatter the result.
What a readback teaches lands as a candidate rule. It stays inactive until a person approves it, so the system only learns what people agreed to.
Reading back a decision against its pre-registered control group.
Causal
When no clean control group exists, a weighted combination of similar units stands in.
Causal
Ranges for a scenario before it is approved.
Predictive
Every forecast is tested on held-out history against a naive baseline.
Predictive
Sizing how volume responds to price, per SKU.
Descriptive
In development: independent scientific validation of readbacks, and accounting recognition of captured value. Until then a readback is reported as a measured effect pending validation, never booked as captured value.
Every Value Tree names the decision, the metric and the control group before any work starts.