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Experiment Design and Statistical Rigor Evidence & Implementation Kit

$249.00
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Experiment Design and Statistical Rigor for Product Teams · size it, randomize it, read it, decide it
Run experiments whose results can be trusted, not tests that generate confident noise.
Every control handed to you adopt-ready, from the hypothesis and design review and the power and sample-size sign-off through randomization and assignment QA, correct p-value and confidence-interval interpretation, bias and guardrail checks, and a defensible ship, iterate or kill decision with its uncertainty intact.
Ready in a weekend, not a quarter.

Here is the honest situation. Here is the honest situation. Every platform will compute a p-value for you, so the tooling was never the hard part. The rare skill is the judgement around it, knowing whether the test could ever have detected the effect you care about, whether the number on the dashboard means what the reader thinks it means, and whether the lift you are about to ship is real, a novelty blip, or an artefact of who ended up in which group. A badly designed experiment is worse than none, because it launches a wrong decision wearing the costume of evidence.

This Kit removes the guesswork. It is experimental rigor written as adopt-ready controls, so a test is sized before it runs, randomized and controlled cleanly, read without the classic errors, screened for bias, and resolved into a decision you can defend rather than a number someone can argue with.

What you get, the moment you buy

18
Controls, adopt-ready. Every control, written so you personalize and apply it.
18
Evidence-they-examine checklists. For each control, exactly what a reviewer examines, plus where teams fall short, so you close the gap first.
1
Control Matrix, pre-built. Every control in a working spreadsheet, ready to record status, owner and evidence location.
1
Gap & Readiness Assessment. Score each control and the workbook returns your readiness as a single percentage, and exactly what to fix next.

Grounded in modern product, growth and data-science practice, including minimum detectable effects agreed up front, honest power analysis, unit-of-randomization and interference handling, correct confidence-interval interpretation, sequential monitoring and early stopping, sample-ratio-mismatch and guardrail trust gates, and bias detection for selection, survivorship, novelty and aggregation effects.

Size it before you run it, do not read it after you peek
An experiment treated as a dashboard to watch until it looks good carries an unmanaged false-positive risk, and the fix is to make rigor the default: a decision-first design, an honest power calculation, clean randomization, correct interpretation, a trust gate before you believe any number, and a stopping rule set before launch. This Kit builds the hypothesis and design review, the power and sample-size sign-off, the randomization and assignment QA, the interpretation standard, the bias and guardrail checks, and the decision and documentation record that keep experiments trustworthy.

What one control looks like

This is the opening control, where the rigor begins. All 18 are built to this depth.

EXPDES-1 Start every experiment from a decision it will change HYPOTHESIS AND DESIGN REVIEW
Put this control in place

Require [your organization name] to state, before any experiment is designed, the specific decision the result will drive and what each possible outcome would lead the team to do, and to not run a test whose result cannot change a decision.

Control note.

If a positive and a negative result lead to the same action, do not run the test.

Evidence a reviewer examines
  • A stated decision and the actions each outcome would trigger, recorded before launch
  • Evidence that tests unable to change a decision were skipped rather than run
  • A directional hypothesis tied to the decision
Common finding they raise: Experiments are run out of curiosity or to justify a choice already made, consuming traffic to produce numbers no one acts on.

Why this is not another template pack

  • The decision comes first. A test that cannot change a decision is not worth its traffic. This tells you how to frame, size, randomize, read and decide, for every control.
  • The specifics built in. Minimum detectable effects, power and sample-size calculation, unit-of-randomization and interference handling, confidence-interval interpretation, sequential and early-stopping rules, sample-ratio-mismatch and guardrail checks, and bias screening are written into the controls, not left generic.
  • Built on real practice, not one test. The controls are principle-level, so they hold across product, growth and data-science experiments and stay useful as your traffic and metrics change.

Who buys this

Product managers, growth engineers and data scientists who design and interpret A/B tests and product experiments.

By the end of the weekend you will have
✓  An adopt-ready control for all 18 areas
✓  A completed control matrix
✓  The evidence a review board and a data-science lead examine
✓  A hypothesis and design-review standard and a power and sample-size sign-off
✓  A randomization and assignment QA routine, an interpretation standard, and a bias and guardrail review
✓  A readiness percentage and a fix list

Common questions

Is it really editable? Yes. Word and Excel files you own and adapt. No portal, no subscription.

Does it cover the whole experimentation problem? Yes. Hypothesis and design review, power and sample-size sign-off, randomization and assignment QA, analysis and interpretation standards, bias and guardrail checks, and decision and documentation each have their own controls with their own evidence.

Is this tied to one tool or metric? No. The controls are principle-level, power and sample size, randomization and interference, interpretation, sequential monitoring, trust gates and bias screening, so they apply across any experimentation platform and any metric.

Who is it for? Product managers, growth engineers and data scientists who must design experiments and defend the decisions they drive.

Do not let a test you peeked your way to, or a null from an underpowered test, become the decision that ships the wrong thing or kills the right one.
Every control is fast to adopt with the Kit. It is instant, and it is guaranteed.
Add it to your cart and be ready this weekend.

Instant digital download · 30-day money-back guarantee · The Art of Service Pty Ltd, GPO Box 2673, Brisbane QLD 4001 · support@theartofservice.com

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