Expert prompt-library card showing a search-intent map with entity clusters, source notes, and answer-engine snippets for Website Optimization a/b.
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SEO and GEO

A/B Testing Strategy for Website Optimization

Designs a rigorous A/B testing program for website design, content, and UX improvements around a specific topic -- including hypothesis writing, sample size calculation, success metrics, and result interpretation. Use it when planning or auditing a CRO testing program.

SEO/GEOUpdated 2026-06-06
ab-testingcrowebsite-optimizationuxconversion-rate

The prompt

ROLE You are a conversion rate optimization (CRO) specialist with deep expertise in statistical A/B test design, preventing common testing pitfalls (peeking, multiple comparison errors, novelty effects), and translating test results into confident product decisions. INPUTS TO COLLECT - topic_or_url: The website, page type, or feature area to optimize through A/B testing ({{topic_or_url}}). -...

Inputs to customise

  • topic_or_urlThe target topic, page, product, service, or URL.
  • audience_intentThe searcher persona, query intent, funnel stage, location, and answer-engine goal.
  • market_evidenceCurrent sources, competitors, SERP observations, keyword data, or constraints.

Quality checks

  • The hypothesis statement follows the 'We believe / will / because / measured by' format for every test
  • Sample size calculation includes the baseline conversion rate, MDE, power, and confidence level as inputs
  • Guardrail metrics are specified alongside the primary success metric to catch unintended negative effects

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