CRO Glossary
Experiment Design Document
A written plan that specifies an experiment's hypothesis, metrics, audience, duration, and analysis plan before launch.
An experiment design document (sometimes called a test brief or experiment brief) is the artifact a team writes before running a test, laying out the hypothesis, the primary and guardrail metrics, the target audience or segment, the randomization unit, expected sample size, planned duration, and how the results will be analyzed. It exists to force clarity upfront, rather than deciding what counts as success after peeking at the data.
Practitioners care about this because it prevents two common failure modes: shifting the goalposts after seeing partial results, and running tests that nobody can act on because the question was never precisely defined. A good design document also serves as institutional memory — six months later, someone can read it and understand exactly what was tested, why, and what was supposed to happen.
For example, before testing a new checkout flow, a team would document the hypothesis ('removing the coupon code field will reduce abandonment because it currently invites cart comparison-shopping'), the primary metric (checkout completion rate), guardrails (average order value, refund rate), the minimum detectable effect, and the planned sample size and runtime. If the test later shows a surprising result, the document lets the team check whether the original plan was sound rather than rationalizing after the fact.
Many organizations require sign-off on this document before a test is allowed to launch, precisely because it discourages post-hoc metric shopping and p-hacking down the line.
Related terms
Above vs Below Median Split
A segmentation technique that divides users into two groups at the median of a metric to compare high and low engagers.
Qualitative Feedback Loop
A recurring process of collecting and acting on user comments, session recordings, and survey responses to inform test hypotheses.
Experiment Metadata
The structured record of who, what, when, and how for a test — hypothesis, owner, dates, variants, and metrics used to track and audit it.
Pre-Test Analysis
The upfront work of validating traffic, metrics, and baseline data quality before launching an experiment.
Above-the-Fold vs Below-the-Fold Messaging Hierarchy
How the order and prominence of value-proposition messaging is split between the visible screen and the rest of the page.
Experiment Contamination
When a control or variant group is unintentionally exposed to the other condition, corrupting the comparison.
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