Designing Effective Experiments
Great experiments start with great design. Follow these best practices to get reliable, actionable results.
Start with a Hypothesis
Every experiment should test a specific hypothesis. Example: "Changing the CTA button from 'Learn More' to 'Get Started' will increase clicks by 15%."
Test One Variable at a Time
Isolate variables to understand what's driving results. If you change multiple elements, you won't know which one made the difference.
Ensure Sufficient Sample Size
Run experiments long enough to reach statistical significance. CrowAI's calculator helps determine the right sample size.
Consider Seasonality
Run experiments for at least one full week to account for day-of-week variations. Avoid major holidays unless testing holiday-specific changes.
Document Everything
Keep detailed notes about your experiments: hypothesis, variants tested, results, and learnings. Build institutional knowledge.
Iterate on Winners
When you find a winner, make it your new control and test further improvements. Optimization is an ongoing process.