Turn your completed A/B test into a clear, documented product decision.

For SaaS, e-commerce and CRO teams that need more than a dashboard’s winner badge, I review the experiment and explain what changed, how uncertain the result is, and what the evidence supports.

What you receive

• A 2–3 page readout with a plain-language recommendation and a technical appendix documenting methods and assumptions.

• Effect estimates and confidence intervals, interpreted against the improvement that matters to your business.

• Significance testing appropriate to the metric and design, with multiple-comparison corrections where needed and the choice explained.

• A review of guardrails and available segments, distinguishing planned comparisons from exploratory findings.

• A check of stopping rules and interim looks, including limitations that prevent a reliable conclusion. Early stopping cannot always be repaired from a final export.

• A sample-ratio-mismatch check when assignment counts and the intended allocation are available.

What I need from you

For a conversion test, start with users and conversions per variant, the intended traffic split, test dates and primary metric. Include the planned stopping rule and whether results were checked during the test. Other metrics may require additional summaries or event data; I’ll confirm the requirements before we begin. CSV is fine.

Starting at $350. Turnaround: 5 business days.

Explore the example work below to see how I approach multiple comparisons, early stopping and business guardrails.

To get started, message me: “We tested [change] across [number of variants]. Our main metric is [metric], and we need to decide [decision].” I’ll confirm fit, data requirements and scope.