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  • 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

Implementation Guidelines

Getting Started

  1. Begin by identifying and documenting key innovation processes

  2. Select a high-priority innovation area and map its portfolio structure

  3. Document the idea management approach and channels

  4. Define the experimentation framework and learning mechanisms

  5. Connect innovation elements to strategic objectives and capabilities

Best Practices

  • Ensure innovation processes have clear stage definitions and decision criteria

  • Base portfolio management on objective balancing factors and strategic alignment

  • Link idea management systems to both strategic priorities and operational insights

  • Design experimentation frameworks to maximize learning while minimizing resource commitments

  • Involve multiple functions in innovation governance to prevent siloed perspectives

  • Maintain a balance between structured processes and creative flexibility

Common Pitfalls to Avoid

  • Creating overly rigid innovation processes that stifle creativity and agility

  • Focusing exclusively on breakthrough innovations without balancing incremental improvements

  • Failing to connect innovation activities to strategic objectives and customer needs

  • Not updating innovation portfolios as market dynamics and requirements evolve

  • Overlooking cultural and organizational barriers to innovation implementation

  • Neglecting to capture and apply learning from failed innovation attempts

Schema Evolution Guidance

The Innovation Domain schema is expected to evolve with emerging practices in innovation management. Future extensions may include:

  • Open innovation ecosystem modeling

  • AI-assisted innovation approaches

  • Sustainability-focused innovation frameworks

  • Innovation culture and capability assessments

  • Innovation accounting and alternative metrics

  • Cross-industry innovation pattern recognition

Organizations should plan for these evolutions by maintaining clean taxonomies and clear relationship models in their current implementation.

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.

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Property

Description

Example

relationshipID

Unique identifier for this relationship

"REL-INN-CAP-001"

innovationID

ID of the innovation element

"INN-DIGITAL-001"

title

Name of the capability

"Customer Experience Design"

relationshipType

Nature of the relationship

"enhances-capability"

relationshipStrength

Importance of this relationship (1-5)

5

capabilityContribution

How capability contributes to innovation

"Provides design thinking methodology and customer insights"

innovationImpact

How innovation impacts capability

{"impactType": "maturity-increase", "currentState": "Level 2", "targetState": "Level 4"}

capabilityRequirements

Capability requirements for innovation

[{"requirementType": "Design skills", "fulfilmentLevel": "partially-fulfilled"}]

performanceMetrics

Metrics for measuring capability impact

[{"metricName": "Design maturity score", "currentValue": "2.7", "targetValue": "4.0"}]

Schema Evolution Guidance

The Innovation Domain schema is expected to evolve with emerging practices in innovation management. Future extensions may include:

  • Open innovation ecosystem modeling

  • AI-assisted innovation approaches

  • Sustainability-focused innovation frameworks

  • Innovation culture and capability assessments

  • Innovation accounting and alternative metrics

  • Cross-industry innovation pattern recognition

Organizations should plan for these evolutions by maintaining clean taxonomies and clear relationship models in their current implementation.