Prompt Details
Model
(claude-5-sonnet)
Token size
306
Example input
[{version_a_metrics}]: 5% conversion, 1,000 visitors
[{version_b_metrics}]: 6.2% conversion, 1,000 visitors
[{what_changed}]: Button color from blue to green
Example output
With only 1,000 visitors per version, a jump from 5% to 6.2% could easily still be random chance — the sample size is on the smaller side for this kind of gap to be fully trusted. Sample Size Needed: You'd likely want closer to 3,000-4,000 visitors per version before feeling confident this difference is real. Recommendation: Keep testing longer before switching — the early signal favors Version B, but it's not strong enough yet to commit fully.
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CLAUDE-5-SONNET
Make sense of your A/B test results in plain English. Enter both versions' metrics and what you changed — get an assessment of whether the difference is likely meaningful or just random noise, an estimate of the sample size needed for more confidence, and a clear recommendation: keep A, switch to B, or keep testing. Perfect for marketers, product managers, and founders running conversion tests without a statistics background.
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Added 2 weeks ago
