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.

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.