Quickly & simply calculate MDE, sample size, run time, experiment performance and experiment impact
Users
7
β1 in 30 days
Rating
0.0 / 5
unchanged in 30 days
Ratings
0
0 in 30 days
Store rank
#226K
#189K among extensions
Version
3.0.0
updated 16 Mar 2026
Users
monthly, 11 months
Latest, 20 Oct 2026:7 usersMove the mouse over the chart for any month
Ratings count
monthly, 11 months
Latest, 20 Oct 2026:0 ratingsMove the mouse over the chart for any month
The Chrome Web Store rounds user counts down to the leading digit, so the user line moves in steps. The ratings count is exact and is the better signal of real adoption.
About The Experimenteurs Toolkit - Pre/Post test statistics, estimated impact
**π New for v3!**
β’ Hypothesis builder β document your experiment hypothesis directly on saved projects
β’ "Go to projects" quick link after saving an analysis
β’ Pages & Audiences β save page configs with instant run time and MDE reference tables for any target uplift
β’ CSV export for all saved projects
β’ Pre-test usability nudge β highlights missing fields when you try to calculate run time
β’ Bonferroni correction toggle on pre-test calculations (4+ variants)
β’ Refreshed UI with inline clear controls, trash icons, and polished project cards
---
**The Experimenteurs Toolkit** is a lightweight side panel calculator for anyone running A/B tests. No sign-ups, no data sent anywhere β everything runs locally in your browser.
**Pre-Test Planning**
Calculate the three numbers you need before launching any experiment:
β’ Minimum Detectable Effect (MDE) β know the smallest uplift your test can reliably detect
β’ Sample size per variant β based on your baseline conversion rate, target uplift, and significance level
β’ Estimated run time β enter your daily visitors and see how long the test needs to run
Supports custom significance levels (90%, 95%, 99%, or any value) and automatically adjusts for multiple variants. Bonferroni correction available when running 4+ variants.
**Post-Test Analysis**
Enter your control and variant data to get:
β’ Frequentist results β conversion uplift, 95% confidence intervals, p-values, and significance
β’ Bayesian results β chance to beat control via Monte Carlo simulation, credible intervals
β’ Revenue projections β estimated incremental revenue per month with confidence intervals
β’ Visual comparison charts β conversion rate bars with CI overlays, chance-to-win bars
Add as many variants as you need. Each gets full statistical treatment.
**Estimated Impact**
Quantify what a successful experiment could be worth:
β’ Monthly and annual revenue projections based on your traffic, conversion rate, and expected uplift
β’ Helps prioritise which experiments to run first
**Saved Projects**
Track your experiments from planning through to results:
β’ Save pre-test analyses as named projects
β’ Add post-test data later β results are auto-inferred from your frequentist table
β’ Record outcomes (won/lost/inconclusive), actual uplift, significance, and incremental revenue
β’ Add a structured hypothesis to sharpen your thinking before you run
β’ Export everything to CSV
**Pages & Audiences**
Save your key pages and audiences with their traffic and conversion data:
β’ Instant reference tables showing run time, sample size, and MDE for 5%, 10%, 15% uplift targets
β’ Custom uplift row β type any percentage and see results live
β’ MDE pills showing what you can detect in 7, 14, and 28 days
β’ Optional AOV for revenue projections
**Privacy**
All data is stored locally on your machine using Chrome's built-in storage. Nothing is sent to any server. No accounts, no tracking, no analytics.