Glossary · Data quality
Data quality
Checks that determine whether an experiment result can be trusted before it informs a decision.
Glossary terms
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A/A Test for QA
A controlled check of assignment, exposure logging, metrics, and platform reliability.
Aggregation
How rollups and analysis units can change a metric or obscure meaningful variation.
Bot Traffic
How automated activity distorts metrics and consistent ways to detect or exclude it.
Concurrent Experiments
Definition, diagnostics, and safeguards for trustworthy data.
Data Drift
Definition, diagnostics, and safeguards for trustworthy data.
Data Leakage
Definition, diagnostics, and safeguards for trustworthy data.
Data Quality
Definition, diagnostics, and safeguards for trustworthy data.
Data Validation
Definition, diagnostics, and safeguards for trustworthy data.
Deduplication
Definition, diagnostics, and safeguards for trustworthy data.
Denominator
Definition, diagnostics, and safeguards for trustworthy data.
Eligibility
Definition, diagnostics, and safeguards for trustworthy data.
Event
Definition, diagnostics, and safeguards for trustworthy data.
Event Property
Definition, diagnostics, and safeguards for trustworthy data.
Event Tracking
Event schemas, identity, properties, missingness, and governance.
Experiment Overlap
Definition, diagnostics, and safeguards for trustworthy data.
Experiment QA
Definition, diagnostics, and safeguards for trustworthy data.
Exposure Bias
Definition, diagnostics, and safeguards for trustworthy data.
Exposure Logging
Definition, diagnostics, and safeguards for trustworthy data.
Identity Resolution
Definition, diagnostics, and safeguards for trustworthy data.
Instrumentation
Assignment, exposure, events, denominators, and data QA.
Instrumentation Bias
Definition, diagnostics, and safeguards for trustworthy data.
Metric Definition
Definition, diagnostics, and safeguards for trustworthy data.
Metric Governance
Definition, diagnostics, and safeguards for trustworthy data.
Missing Data
Definition, diagnostics, and safeguards for trustworthy data.
Novelty Decay
Definition, diagnostics, and safeguards for trustworthy data.
Numerator
Definition, diagnostics, and safeguards for trustworthy data.
Outlier
Definition, diagnostics, and safeguards for trustworthy data.
Outlier Treatment
Definition, diagnostics, and safeguards for trustworthy data.
Post-Treatment Bias
Definition, diagnostics, and safeguards for trustworthy data.
Randomization Failure
Definition, diagnostics, and safeguards for trustworthy data.
Sample Allocation
Definition, diagnostics, and safeguards for trustworthy data.
Sample Ratio Mismatch
Expected versus observed allocation, chi-square checks, and root causes.
Seasonality
Definition, diagnostics, and safeguards for trustworthy data.
SRM Test
Definition, diagnostics, and safeguards for trustworthy data.
Targeting
Definition, diagnostics, and safeguards for trustworthy data.
Test Pollution
Definition, diagnostics, and safeguards for trustworthy data.
Tracking Plan
Definition, diagnostics, and safeguards for trustworthy data.
Traffic Allocation
Definition, diagnostics, and safeguards for trustworthy data.
Traffic Split
Definition, diagnostics, and safeguards for trustworthy data.
Treatment Assignment
Definition, diagnostics, and safeguards for trustworthy data.
Trigger Condition
Definition, diagnostics, and safeguards for trustworthy data.
Unit of Analysis
Definition, diagnostics, and safeguards for trustworthy data.
User Identity
Definition, diagnostics, and safeguards for trustworthy data.
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Fundamentals
Fundamentals
The conceptual foundation: what experiments are, how variants are compared, and how a testing program creates evidence.
CRO & funnels
CRO & funnels
Research-led optimization of the complete path from discovery to meaningful action.
Statistics
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Statistical terms will be published with notation, formulas, worked examples, assumptions, and interpretation warnings.
Metrics
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Metric pages will connect formulas to denominators, business outcomes, guardrails, and experiment use cases.
Design
Design
Plan tests that can answer a useful question without creating avoidable validity risks.
Implementation
Implementation
The delivery and measurement foundations behind reliable product and web experiments.
Product analytics
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Concepts for understanding user behavior, product value, and the outcomes experiments are meant to improve.
Privacy
Privacy
Responsible measurement concepts for experimentation, marketing, and product analytics.