This course provides a disciplined, structured approach to moving great ideas out of the lab and into the market at scale. It addresses the critical gap between creativity and execution, focusing on the systems, governance, and cultural shifts required to make innovation a repeatable, operational process. Participants will learn how to build an "innovation engine," manage a diverse portfolio of bets, and secure the necessary resources for high-potential projects. The curriculum covers the entire innovation lifecycle, from discovery and validation to commercialization and institutionalization.
Operationalizing Innovation: From Idea to Scale
Digital Transformation and Innovation
October 25, 2025
Introduction
Objectives
Upon successful completion of this program, participants will be able to:
- Design and implement a structured innovation lifecycle that promotes repeatability.
- Develop criteria for effective portfolio management of high-risk, high-reward initiatives.
- Apply Lean Startup and Agile methodologies to rapidly validate business model hypotheses.
- Establish clear governance and funding models to support innovation outside the core business.
- Identify and overcome common organizational antibodies that stifle scaling success.
- Create an internal pitch deck and secure executive sponsorship for major innovation projects.
- Define key performance indicators (KPIs) and metrics for tracking innovation success at different stages.
- Structure cross-functional teams for innovation, balancing core business expertise with new skills.
Target Audience
- Heads of R&D and Innovation Labs
- Project and Program Managers leading new ventures
- Business Unit Leaders seeking growth through new products
- Senior Leaders responsible for strategic change
- Corporate Venture Capital and M&A Specialists
- Engineers and Architects moving into product roles
- Innovation Champions and Change Agents
Methodology
- **Scenarios:** Applying a structured stage-gate review to a simulated innovation project proposal.
- **Case Studies:** Deep-dive analysis of major organizational innovation successes and failures (e.g., Kodak, Netflix).
- **Group Activities:** Developing a balanced innovation portfolio allocation strategy based on provided budgets and risk profiles.
- **Individual Exercises:** Drafting a Lean Canvas for a novel business idea and defining the critical first experiment.
- **Mini-Case Studies:** Rapid assessment of a startup's scaling strategy and potential pitfalls.
- **Syndicate Discussions:** Debating the trade-offs between speed and governance in high-stakes innovation.
- **Pitch Simulation:** Participants present their scaled-up innovation plan to a simulated executive board.
Personal Impact
- Acquire a systematic, repeatable framework for managing ideas.
- Improved ability to secure funding and sponsorship for new ventures.
- Enhanced skills in hypothesis testing and rapid experimentation.
- Increased confidence in leading cross-functional innovation teams.
- Better decision-making regarding risk tolerance and resource deployment.
- The capacity to be a catalyst for cultural change within the enterprise.
Organizational Impact
- Increased percentage of revenue derived from new products/services.
- Establishment of a measurable, sustainable innovation engine.
- Improved organizational agility and response to market shifts.
- Reduction in time-to-market for validated concepts.
- Optimized allocation of capital to high-potential growth areas.
- A culture that embraces calculated risk and learns from failure.
Course Outline
Unit 1: Setting the Stage for Systematic Innovation
Defining the Innovation Mandate- The difference between incremental, adjacent, and disruptive innovation.
- Assessing organizational readiness and innovation maturity.
- Establishing the "Why": linking innovation to corporate strategy and vision.
- Introduction to the three horizons model of growth.
- Identifying core innovation focus areas and opportunity spaces.
- Measuring the return on innovation investment (ROI).
Unit 2: The Structured Innovation Pipeline
From Discovery to Validation- Designing an effective idea capture and intake funnel.
- Implementing stage-gate processes tailored for uncertainty.
- Applying hypothesis-driven development and experiment design.
- Conducting rapid market testing and Minimum Viable Product (MVP) creation.
- Financial modeling and initial valuation of innovation bets.
- Using the Lean Canvas or Business Model Canvas for ideation.
Unit 3: Governing and Funding the Portfolio
Making Strategic Resource Allocation Decisions- Developing a balanced innovation portfolio (risk vs. reward).
- Establishing transparent governance for approval and kill points.
- Ring-fencing resources and budgets for non-core initiatives.
- Techniques for securing executive buy-in and managing stakeholders.
- Implementing agile funding models (e.g., beyond budgeting concepts).
- Addressing legal, compliance, and regulatory hurdles early in the process.
Unit 4: Scaling and Commercialization
Moving from Pilot to Production- Identifying signs of scalability and readiness for institutionalization.
- Overcoming organizational resistance ("antibodies") to new ventures.
- Designing the scale-up team and required operational infrastructure.
- Developing the go-to-market strategy and launch plan.
- Metrics for scaling success (e.g., unit economics, adoption rates).
- Transitioning an innovation project back into the core business structure.
Unit 5: Building a Sustainable Innovation Culture
Institutionalizing Innovation Capabilities- Hiring and training for core innovation skill sets (e.g., experimentation).
- Rewarding and recognizing innovators and risk-takers.
- Creating internal venture teams and innovation accelerators.
- Sharing failures and successes across the organization for learning.
- Role of technology platforms in enabling enterprise-wide innovation.
- Leadership behaviours that model and encourage intellectual curiosity.
Unit 6: Technology Enablers for Innovation
Leveraging Digital Tools for Speed- Utilizing cloud platforms for rapid prototyping and deployment.
- The role of APIs and microservices in creating new value chains.
- Data analytics and AI for generating innovation insights.
- Cybersecurity considerations for nascent technologies.
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