·4 min read
MVP A/B Testing Guide
A/B testing sounds scientific but most MVPs do it wrong. Here is how to test meaningfully.
When NOT to A/B Test
- •Under 1000 visitors per week (not enough data)
- •Testing tiny changes (button color rarely matters)
- •When you already know what is broken
- •Before you have a conversion baseline
When to A/B Test
- •Two valid options and unclear winner
- •Enough traffic for statistical significance
- •The change affects a key metric
- •You can wait 2-4 weeks for results
Good MVP Tests
| Test | Impact |
|---|---|
| Pricing page layout | High |
| Headline variations | High |
| Call-to-action text | Medium |
| Form length | Medium |
| Social proof placement | Medium |
Simple A/B Testing Tools
- •Google Optimize: Free, integrates with Analytics
- •PostHog: Open source, feature flags included
- •Vercel: Built-in edge config for Next.js
- •Manual: Split traffic with feature flags
Reading Results
- •Wait for statistical significance (usually 95%)
- •Run tests for at least 2 full weeks
- •Avoid checking results daily (you will stop early)
- •Consider secondary metrics, not just primary
Common Mistakes
- •Stopping tests too early
- •Testing too many things at once
- •Not having a clear hypothesis
- •Ignoring results that disagree with intuition
Most MVPs should focus on shipping, not testing. Reserve A/B tests for big decisions with enough traffic to get answers.