A/B Test Execution & Analysis Checklist!


What You’ll Get

Running a test is one thing. Learning from results is another thing. Most people get excited about test results and act without proper analysis. This checklist walks you through documenting results carefully, checking for statistical significance (avoiding false winners), verifying sample sizes are adequate, identifying the true winner, documenting learning, updating your knowledge base, planning the next test, and building a testing culture. You’ll avoid false positives and actually improve your marketing based on data, not luck.


5+

Tests Per Month

10-20%

Average Improvement Per Test

300%+

Compound Annual Gain


KEY ITEMS INCLUDED

✓ Test results documented carefully
✓ Statistical significance calculated
✓ Sample size verified
✓ Winner clearly declared
✓ Winning variation implemented

WHO IS THIS FOR

This checklist is for anyone running tests who wants to make sure they’re getting real insights (not false positives). If you’ve had tests that seemed to work but didn’t in the long run, this fixes that.

WHY IT MATTERS

False positives in testing waste time and money. When you analyze results properly, you build confidence in your decisions and compound your improvements over time.


How It Works

1. Click the button above
2. Fill in your details (takes 30 seconds)
3. Download your checklist immediately
4. Start completing your checklist today

Next Steps

After you download your checklist, you can:
✓ Work through each item at your pace
✓ Share with your team
✓ Track your progress and celebrate wins

Pro tip: Want to streamline test documentation and knowledge management? Explore our comprehensive guide on how to document A/B test results using AI to automate result documentation, build intelligent knowledge bases, generate insights from test histories, and create AI-powered learning repositories that help your team speed up better data-driven decisions.

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