CRO Glossary
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.
Experiment metadata is the set of structured details attached to every test that let a team find, understand, and audit it later without re-reading the full experiment design document. Typical fields include the hypothesis, start and end dates, primary and guardrail metrics, traffic allocation, owner, targeted audience or page, and status (running, stopped, shipped, archived).
This matters because experimentation programs scale fast, and without consistent metadata, institutional knowledge disappears the moment the person who ran a test moves teams. Good metadata turns a pile of past tests into a searchable knowledge base — you can answer questions like "have we ever tested pricing page layout?" or "what was the guardrail metric on that checkout redesign?" in seconds instead of digging through Slack history.
For example, a well-tagged experiment record might read: hypothesis — "reducing form fields from 8 to 4 will increase signup conversion without hurting lead quality"; owner — growth team; dates — March 3–17; primary metric — signup conversion rate; guardrail — lead qualification rate; result — +6.2% lift, shipped.
Teams that skip metadata discipline often end up re-running tests they've already tried, because nobody can reconstruct what was tested, on whom, or why it did or didn't ship. Tools like ABWatcher exist partly to enforce this structure automatically rather than relying on tribal memory.
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.
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.
Metric Dilution
When a test's effect is real but gets averaged away because it only affects a small slice of the measured population.
See this in the wild
ABWatcher watches how top teams apply experiment metadata.
Live A/B tests at 1,000+ high-converting brands, with plain-English hypothesis and takeaway.