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.

Instrumentation

Assignment, exposure, events, denominators, and data QA.

Sample Ratio Mismatch

Expected versus observed allocation, chi-square checks, and root causes.