Experimentation and Measurement AuditEvgeniia Shcherbinina
I audit experiment design, measurement methodology, and decision criteria to ensure results are statistically reliable and decision-ready. This includes feasibility assessment, power and sample size analysis, and identification of risks that can lead to incorrect conclusions.
I help teams implement reliable experimentation strategies and measurement frameworks, including solutions for low-traffic environments where traditional A/B testing may not be feasible.
Deliverables:
Experiment design and measurement audit
Feasibility and power analysis
Metric and measurement validation
Clear recommendations to improve experiment reliability
Written report with actionable findings and next steps
Reusable experiment evaluation template (Excel) for assessing feasibility and interpreting future experiment results
Pricing starts at $2,000. Final pricing depends on experiment scope, data availability, and analysis complexity. Contact me to discuss your specific needs and ensure your experiments provide reliable, decision-ready insights.
FAQs
I audit experiments across all marketing channels. This includes A/B and multivariate tests, holdout experiments, targeting and messaging tests, product changes, and other initiatives designed to measure the impact of marketing strategies and customer engagement efforts.
Yes. I specialize in low-volume environments and can recommend alternative experiment designs, feasibility assessments, and measurement approaches to ensure reliable decision-making even with limited traffic.
Not always. I can work with experiment summaries, dashboards, or aggregated results. Direct data access can improve depth of analysis but is not required.
Yes. In addition to auditing existing experiments, I can recommend improved experiment design, metric selection, and measurement frameworks to support reliable experimentation going forward.
Yes. I can evaluate product or marketing changes even without a formal A/B test using causal inference methods, holdout comparisons, and controlled pre/post analysis. This helps determine whether changes had a real impact and provides guidance for improving experimentation and measurement practices.
Most audits take 1–2 weeks depending on experiment complexity, data availability, and scope.
Yes. The primary goal is to ensure experiment results can be trusted and used confidently to guide product, marketing, and growth decisions.
Experimentation and Measurement AuditEvgeniia Shcherbinina
I audit experiment design, measurement methodology, and decision criteria to ensure results are statistically reliable and decision-ready. This includes feasibility assessment, power and sample size analysis, and identification of risks that can lead to incorrect conclusions.
I help teams implement reliable experimentation strategies and measurement frameworks, including solutions for low-traffic environments where traditional A/B testing may not be feasible.
Deliverables:
Experiment design and measurement audit
Feasibility and power analysis
Metric and measurement validation
Clear recommendations to improve experiment reliability
Written report with actionable findings and next steps
Reusable experiment evaluation template (Excel) for assessing feasibility and interpreting future experiment results
Pricing starts at $2,000. Final pricing depends on experiment scope, data availability, and analysis complexity. Contact me to discuss your specific needs and ensure your experiments provide reliable, decision-ready insights.
FAQs
I audit experiments across all marketing channels. This includes A/B and multivariate tests, holdout experiments, targeting and messaging tests, product changes, and other initiatives designed to measure the impact of marketing strategies and customer engagement efforts.
Yes. I specialize in low-volume environments and can recommend alternative experiment designs, feasibility assessments, and measurement approaches to ensure reliable decision-making even with limited traffic.
Not always. I can work with experiment summaries, dashboards, or aggregated results. Direct data access can improve depth of analysis but is not required.
Yes. In addition to auditing existing experiments, I can recommend improved experiment design, metric selection, and measurement frameworks to support reliable experimentation going forward.
Yes. I can evaluate product or marketing changes even without a formal A/B test using causal inference methods, holdout comparisons, and controlled pre/post analysis. This helps determine whether changes had a real impact and provides guidance for improving experimentation and measurement practices.
Most audits take 1–2 weeks depending on experiment complexity, data availability, and scope.
Yes. The primary goal is to ensure experiment results can be trusted and used confidently to guide product, marketing, and growth decisions.
$2,000