Day 1: Defining the Innovation Lab Mandate

Strategic Purpose and Scope

• Validation checks for strategic purpose
• Opportunity criteria balancing value feasibility
• Test results shaping iteration priorities
• Alternative concepts explored prior to commitment

Challenge Intake and Criteria

• Decision points for challenge intake
• Assumptions needing rapid validation
• Idea options compared against constraints
• Decision gates limiting weak concepts

Governance and Decision Rights

• Review criteria for decision rights
• User evidence informing concept selection
• Prototype feedback informing design choices
• Evidence thresholds set prior to scaling

Day 2: Operating AI-Enabled Innovation Experimentation

Idea Pipeline and Selection

• Application limits around idea pipeline
• Prototype tests reducing learning cost
• Concept risks surfaced prior to investment
• Learning cycles shortened through rapid tests

Rapid Experiments and Prototypes

• Review criteria for rapid experiments
• Innovation hypotheses stated before experiments
• Experiment records preserving learning history
• Problem evidence before idea generation

Evidence Capture and Learning

• Validation checks for evidence capture
• Experiment evidence guiding next steps
• Assumptions shaping strategic options
• Uncertainty ranges around key drivers

Day 3: Scaling Lab Value Across the Organization

Portfolio and Resource Governance

• Decision points for resource governance
• Criteria for comparing strategy options
• Trade-offs across value and risk
• Trigger points for revisiting assumptions

Transfer and Scaling Mechanisms

• Performance signals around scaling mechanisms
• Early warnings needing course correction
• External shifts affecting strategic choices
• Signals indicating meaningful scenario change

Innovation Lab Operating Model

• Operational risks around innovation lab
• Measures linking strategy to outcomes
• Decision thresholds for strategic response
• Dependencies influencing option feasibility

• Guided exercise applying challenge intake to workplace cases
• Group review evaluating rapid experiments against evidence
• Case analysis examining resource governance in workplace decisions
• Simulation testing innovation lab under operational pressure