A/B Testing Without a Pipeline Is Just Random Guessing. This Spreadsheet Gives Your Experiments Structure.
Most teams run A/B tests when someone has an idea. No prioritization, no documentation, no learning from past experiments. This spreadsheet gives you a pipeline — track hypotheses, prioritize by impact, document results, and build a testing culture that compounds over time.
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Hypothesis-Driven Testing
Every test starts with a hypothesis: what you're changing, why you think it will work, and what metric you're measuring. No more "let's just try this and see."
Priority Scoring
Score each test by potential impact, confidence level, and ease of implementation. Run the high-impact, easy-to-execute tests first.
Results Documentation
Record winners, losers, and inconclusive results. Build institutional knowledge so you never re-run a test you've already learned from.
Built for marketing teams and agencies running optimization programs for clients or internal projects.
Testing without a pipeline is like cooking without a recipe — you might get lucky, but you can't repeat the results and you definitely can't teach someone else to do it. The teams that consistently improve performance are the ones who document everything: what they tested, why, what happened, and what they learned.
This spreadsheet gives you that structure. You log every test idea, score it by priority, track it through execution, and document the results. After a few months, you have a library of experiments that tells you what works for your specific audience and business.
- ✓ Running tests without documenting them? The pipeline tracks every hypothesis, result, and learning. Six months from now, you'll be glad you wrote it down.
- ✓ Too many test ideas, not enough time? The priority scoring system helps you run the highest-impact tests first. ICE framework (Impact, Confidence, Ease) built right in.
- ✓ Need to report on testing velocity? The pipeline gives you a running count of tests planned, in progress, and completed. Show stakeholders that optimization is systematic, not random.
- ✓ Building a testing culture on your team? Share the spreadsheet. When everyone can submit hypotheses and see results, testing becomes a team habit instead of one person's side project.
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The Same Pipeline Jeff's Team Runs for Client Optimization
Jeff Sauer and the MeasureU team have run thousands of optimization experiments since 2005. This spreadsheet is the same pipeline structure they use to prioritize, track, and document every test — for clients and for their own marketing.
Turn random tests into a systematic optimization program
Make a copy of the spreadsheet, log your first five test ideas, score them by priority, and run the winner this week. The pipeline builds itself from there.