Versions Compared

Key

  • This line was added.
  • This line was removed.
  • Formatting was changed.

...

Experimentation Framework
A structured methodology for testing hypotheses, validating assumptions, and learning rapidly with minimal resource expenditure. Experimentation frameworks support evidence-based innovation decisions.

Domain Structure

Domain Attributes

  • Basic identification: title, description, innovationType

  • Organizational alignment: orgUnitTitle, orgUnitRoles, innovationScope

  • Innovation characteristics: innovationOrigin, innovationStage, innovationOwner

  • Strategic factors: strategicAlignment, investmentLevel, riskProfile

  • Performance aspects: expectedOutcomes, timeHorizon, successMetrics

  • Environmental factors: innovationBarriers, innovationEnablers

  • Governance elements: governanceApproach, intellectualPropertyStrategy

Domain Elements

Innovation Process Element
Provides a structured approach to innovation development:

  • Process stages and methodologies

  • Stage-gate criteria and decision points

  • Participant roles and responsibilities

  • Timeframes and resource requirements

  • Tools, techniques, and supporting methods

  • Success metrics and flexibility characteristics

Innovation Portfolio Element
Maps the collection of innovation initiatives:

  • Portfolio categories and classification structure

  • Balancing criteria and investment allocation

  • Risk distribution and time horizon mix

  • Performance metrics and management approach

  • Strategic alignment and portfolio governance

  • Review processes and decision frameworks

Idea Management Element
Analyzes the systems for capturing and developing ideas:

  • Idea sources and submission processes

  • Evaluation criteria and prioritization methods

  • Implementation paths and engagement metrics

  • Recognition approaches and feedback mechanisms

  • Performance measures and success rates

  • System ownership and governance

Experimentation Framework Element
Evaluates the approaches for validating innovation concepts:

  • Experiment types and design methodologies

  • Risk management and resource allocation

  • Success and failure criteria

  • Learning capture mechanisms

  • Scaling processes and governance models

  • Roles, responsibilities, and decision rights

Conclusion

The Innovation Domain extends the Orthogramic Metamodel with a robust framework for modeling and managing innovation-related aspects of business architecture. By providing structured schemas for innovation processes, portfolios, idea management, and experimentation frameworks, it enables organizations to systematically align their innovation activities with strategic objectives and operational requirements.

...