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Platform · Measurement

Only a causal method gets to promise a result.

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.

01
Step / 01

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.

02
Step / 02

A contract before the decision

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.

03
Step / 03

Readback by difference-in-differences

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.

04
Step / 04

Learning that waits for approval

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.

Methods

The method behind each claim.

MethodWhen it is usedClaim strength
Difference-in-differences

Reading back a decision against its pre-registered control group.

Causal

Synthetic control

When no clean control group exists, a weighted combination of similar units stands in.

Causal

Monte Carlo simulation

Ranges for a scenario before it is approved.

Predictive

Forecast backtest

Every forecast is tested on held-out history against a naive baseline.

Predictive

Price elasticity

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.

A decision in. An effect you can defend out.

It reads

  • 01
    The decision and its alternativesDoing nothing is always one of them
  • 02
    Treatment and control unitsFixed before the start
  • 03
    Periods before and afterAt least three and two
  • 04
    A guardrail metricWhat must not get worse

It returns

  • 01
    The effect with a 95% intervalOr a plain statement that it was not measurable
  • 02
    A parallel-trend checkWhether the comparison holds
  • 03
    A claim-strength labelDescriptive, predictive or causal
  • 04
    A candidate ruleFor a person to approve

Measure what
moved

Every Value Tree names the decision, the metric and the control group before any work starts.

Vinícius GaleraCo-founder
Start a Value Tree
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