Pre-Launch A/B Test Review — Power & Sample Size CheckMo Rahman
Find out whether your traffic can support a useful A/B test before you launch.
For SaaS, e-commerce and CRO teams planning a conversion experiment, I review the design and turn your baseline rate, traffic and target improvement into a practical testing plan.
What you get
• Sample size per arm and estimated runtime, with the assumptions made explicit.
• Minimum detectable effect and power analysis to assess whether the planned test can detect an improvement worth acting on.
• Guardrail metric recommendations so a conversion lift does not hide a costly tradeoff.
• A pre-registration summary covering the hypothesis, metrics and stopping rule.
• A written recommendation: proceed, revise the design, or reconsider the test given the available traffic.
What I need from you
Your baseline conversion rate, approximate eligible traffic and a short description of the change you want to test. If you have a target lift or launch deadline, include that too. No analytics account access is required.
Starting at $150. Turnaround: 3 business days.
To get started, message me: “We want to test [change]. Our baseline conversion rate is [X%], with about [Y eligible visitors per week].” I’ll confirm the fit and scope before we begin.
FAQs
Example work
Starting at$150
Duration3 days
Tags
Python
A/B Testing
Conversion Rate Optimization
Experiment Design
Hypothesis Testing
Power Analysis
Statistical Analysis
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Mo Rahman New York, USA
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Pre-Launch A/B Test Review — Power & Sample Size CheckMo Rahman
Starting at$150
Duration3 days
Tags
Python
A/B Testing
Conversion Rate Optimization
Experiment Design
Hypothesis Testing
Power Analysis
Statistical Analysis
Find out whether your traffic can support a useful A/B test before you launch.
For SaaS, e-commerce and CRO teams planning a conversion experiment, I review the design and turn your baseline rate, traffic and target improvement into a practical testing plan.
What you get
• Sample size per arm and estimated runtime, with the assumptions made explicit.
• Minimum detectable effect and power analysis to assess whether the planned test can detect an improvement worth acting on.
• Guardrail metric recommendations so a conversion lift does not hide a costly tradeoff.
• A pre-registration summary covering the hypothesis, metrics and stopping rule.
• A written recommendation: proceed, revise the design, or reconsider the test given the available traffic.
What I need from you
Your baseline conversion rate, approximate eligible traffic and a short description of the change you want to test. If you have a target lift or launch deadline, include that too. No analytics account access is required.
Starting at $150. Turnaround: 3 business days.
To get started, message me: “We want to test [change]. Our baseline conversion rate is [X%], with about [Y eligible visitors per week].” I’ll confirm the fit and scope before we begin.
FAQs
Example work
$150