Glossary · Implementation
Implementation
The delivery and measurement foundations behind reliable product and web experiments.
Glossary terms
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Anti-Flicker Script
Reducing visual flashes in client-side tests while managing page-performance costs.
API Experimentation
Testing API behavior with appropriate assignment, exposure, and latency safeguards.
Application Programming Interface (API)
The delivery contract behind systems that can be measured and experimented on.
Asynchronous Loading
Non-blocking delivery, timing risks, and exposure gaps in web experiments.
Audience Eligibility
Pre-treatment rules that define who belongs in an experiment denominator.
Audience Targeting
Selecting an experiment population and documenting the scope of valid conclusions.
Canary Release
Technical context, delivery considerations, and experiment risks.
Client-Side Rendering (CSR)
Technical context, delivery considerations, and experiment risks.
Client-Side Testing
Rendering, flicker, scripts, performance, and use cases.
Custom Audience
Technical context, delivery considerations, and experiment risks.
Data Layer
Technical context, delivery considerations, and experiment risks.
Experiment Trigger
Technical context, delivery considerations, and experiment risks.
Experimentation Platform
Technical context, delivery considerations, and experiment risks.
Feature Flag
Delivery control, rollout, experiment support, and technical debt.
Feature Toggle
Technical context, delivery considerations, and experiment risks.
Flicker Effect
Technical context, delivery considerations, and experiment risks.
Server-Side Testing
Architecture, consistency, latency, and backend experiments.
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Other topics
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
Statistics
Statistical terms will be published with notation, formulas, worked examples, assumptions, and interpretation warnings.
Metrics
Metrics
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.
Data quality
Data quality
Checks that determine whether an experiment result can be trusted before it informs a decision.
Product analytics
Product analytics
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.