Content Comparison

frameworkID

Unique identifier for the experimentation framework

"EXP-FRAME-001"

frameworkTitle

Name of the specific experimentation framework

"Rapid Digital Experimentation System"

frameworkDescription

Detailed explanation of the experimentation framework

"Structured approach for rapidly testing digital innovation hypotheses with minimal investment"

orgUnitTitle

Organization unit that manages this framework

"Digital Innovation Lab"

innovationID

ID of the related innovation domain entity

"INN-DIGITAL-001"

experimentTypes

Categories of experiments supported

[{"typeName": "User Experience Tests", "typeDescription": "Validate UX assumptions with target users"}]

experimentDesignApproach

Design methodology for experiments

{"designMethodology": "Hypothesis-Driven Design", "standardFormat": "If we [action], then [outcome] will result because [rationale]"}

experimentationRoles

Who is involved in experimentation

[{"roleName": "Experiment Lead", "roleResponsibilities": "Design experiment, analyze results, recommend actions"}]

resourceAllocation

Resources committed to experimentation

{"averageExperimentBudget": "$15K", "timeAllocation": "3-week maximum duration", "resourceLimits": "No more than 2 FTEs per experiment"}

riskManagementApproach

Risk handling in experiments

{"riskProfile": "Controlled exposure", "limitingFactors": "Customer impact, brand exposure, financial commitment"}

successCriteria

Definition of successful experiments

{"successDefinition": "Clear, actionable learning that informs decision", "successMetrics": ["Statistical significance", "Cost per learning", "Decision-making impact"]}

failureCriteria

Definition of failed experiments

{"failureDefinition": "Inconclusive results or invalid test design", "failureMetrics": ["Ambiguous outcomes", "Design flaws", "Insufficient data"]}

learningCapture

How insights are recorded

{"captureMechanism": "Standardized Experiment Report", "distributionMethod": "Insights database with tagging and search"}

scalingProcess

Path to scaling successful experiments

{"scalingCriteria": "Clear customer value, technical feasibility, business case", "scalingStages": ["Extended pilot", "Limited release", "Full deployment"]}

governanceModel

Management approach for experiments

{"approvalProcess": "Two-tier system: <$10K delegated to lab director, >$10K requires committee approval", "reviewCycles": "Weekly experiment review sessions"}