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Program overview

Feature Experimentation Core (Strategist) Exam Blueprint

The Feature Experimentation Core (Strategist) exam has 30 multiple-choice questions, one scenario and one rationale question. You have 75 minutes and need 70% overall to pass. It covers 7 domains: Experimentation Fundamentals and Setup, Statistical Analysis and Results Interpretation, Feature Flags and Server-Side Experimentation, Audience Targeting and Segmentation, Advanced Experimentation Strategies, Visual Editing and Web Experimentation and Data Integration and Analytics. You need Optimizely Foundations first. Certifications are valid for about one year.

This exam is for
Strategist
Designs experience strategy, experimentation roadmap, and optimization frameworks

You decide what to do and why — choosing the right product or feature for a business goal, planning experimentation and optimization roadmaps, and articulating cross-product value to stakeholders. This exam confirms strategic judgment rather than hands-on execution: knowing when and why to use a capability, not how to click through it.

Typical rolesDigital StrategistsCustomer Success ManagersEngagement LeadsPlatform ConsultantsPartner Success
Question types & scoring
MCQScenarioRationale
Count3011
Min pass≥70%≥65%≥65%
70% overall to pass · 32 items total
Domains
7
weighted areas
Time limit
75 min
 
Attempts
3
per quarter
Retake
2 days
cooldown if not passed

Experimentation Fundamentals and Setup

15% weight~5 questions
Topics covered:A B TestingExperiment CreationHypothesis TestingGoal ConfigurationExperiment VariationsTraffic AllocationEvent TrackingMetric Configuration

Statistical Analysis and Results Interpretation

20% weight~6 questions
Topics covered:Statistical AnalysisStats EngineConfidence IntervalsResults InterpretationData VisualizationExperiment AnalyticsSample Ratio MismatchOutlier Detection

Feature Flags and Server-Side Experimentation

10% weight~3 questions
Topics covered:Feature FlagsSdk IntegrationServer Side ExperimentationProgressive RolloutKill SwitchesFeature VariablesFlag EvaluationUser ContextForced DecisionsEnvironment Management

Audience Targeting and Segmentation

20% weight~6 questions
Topics covered:Audience TargetingUser ContextVisitor GroupsGeo TargetingBehavioral TargetingCustom AttributesReal Time SegmentsContent Personalization

Advanced Experimentation Strategies

25% weight~8 questions
Topics covered:CmabMachine LearningMulti Armed BanditsStats AcceleratorMutual ExclusionTraffic RampingOptimization Methodology

Visual Editing and Web Experimentation

5% weight~2 questions
Topics covered:Visual EditorExperiment CreationClient Side SnippetSnippet DeploymentPerformanceEdge Delivery

Data Integration and Analytics

5% weight~2 questions
Topics covered:Event TrackingAnalytics IntegrationEvent DispatchingCustom MetricsData IntegrationBigquery ExportEvents ExportThird Party Analytics