Explain why a metric moved by decomposing its definition, population, segments, timing, and data pipeline into testable hypotheses.
Instructions your experts follow when using this skill.
Use this for an ad hoc why did X move? question. Begin with the identity of X,
not a story about the business.
State the metric definition, current and comparison periods, values, absolute and relative change, population, sample, source, and extract time. Recalculate the result from the supplied detail when possible. Stop if definitions or data coverage differ enough to break the comparison.
Quantify how much of the total change each component explains. Avoid summing overlapping segments as if they were independent.
Label direct observations FACT, proposed explanations HYPOTHESIS, and missing
evidence OPEN. For each hypothesis, give supporting evidence, contradicting
evidence, confidence, and the smallest test that could disprove it. If the data
supports no cause, say so.
Never claim cause from timing or correlation alone. Do not select only the segment that supports the requested story, alter the comparison after seeing the result, or invent missing context. Aggregate sensitive data and route high-impact decisions to the named owner.
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