Sheet template · Product & growth teams
A/B test results
Conversion lift and significance. Made from one message, so you can get your own in minutes.
A/B test results
Control vs. variant: visitors, conversions and conversion rate
| Metric | Control (A) | Variant (B) | Notes | |
| Version | 3-step checkout | One-page checkout | Test ran 2026-02-02 to 2026-02-22 on mobile web, 50/50 random split | |
| Visitors | 18,420 | 18,395 | Input: unique mobile visitors who reached checkout | |
| Conversions | 812 | 905 | Input: completed orders | |
| Conversion rate | 0.044 | 0.049 | Conversions ÷ visitors (format as % to read) | |
| Absolute difference | 0.005 | Variant rate minus control rate | ||
| Relative lift | 0.116 | Change versus control, as a share of the control rate | ||
| Pooled conversion rate | 0.047 | Combined rate assuming no real difference (null hypothesis) | ||
| Standard error | 0.002 | Pooled standard error of the difference between two proportions |
Conversion lift and significance
The prompt
Create a Sheet to analyze an A/B test of replacing the 3-step checkout with a one-page checkout on the mobile checkout at Fernhill Outfitters. Inputs for visitors and conversions per variant, then conversion rates, relative lift, standard error, z-score and an approximate p-value (formulas), with a plain-language verdict cell.
Make it yours
- Change the details in the prompt to fit product & growth teams.
- For example, change it so that the test is a free-shipping banner on the pricing page of a project-management app, and the significance level is 0.10 instead of 0.05.
- Ask for edits in plain words: tone, colors, length, layout or data.
- Share the result by link or export it when you are done.
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