Template

Test ranking changes as a controlled experiment.

Determine in advance what you change, why, for which queries and how you determine whether the change is really better.

Problem & hypothesis

First, describe which search behavior you want to improve and why the proposed change fits that.

Relevance framework →

Scope

Write down category, market, store, query segment and cases that remain consciously out of the experiment.

Query segments →

Baseline

Record current results and measurement period before the change goes live.

Benchmarking →

Primary KPI

Choose one main target and additional guardrail-KPIs so that a local profit does not mask wider deterioration.

KPI Framework →

Modification

Make the change as understandable as possible and avoid multiple unrelated ranking adjustments at once.

Ranking rules →

Evaluation period

Use enough data and note season, campaigns, stock and other confounding factors.

Trends →

Regression control

Check important golden queries so that strong existing search routes do not deteriorate silently.

Golden queries →

Decision

Maintain, adjust or reverse and document why, including learning points for subsequent experiments.

Optimization cycle →