Full course description
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Understanding disruption and building AI capabilities are essential — but they are not enough. Leaders must also know how to identify, shape, and advance digital opportunities inside their organizations, especially when outcomes, adoption, and resistance are unclear.
This course shifts from diagnosis to action under uncertainty. You will learn to distinguish between different types of opportunities, assess whether to integrate new initiatives into the core business or pursue them through parallel models, and avoid common traps such as solution-first thinking or over-scoping transformation efforts. With particular emphasis on business model logic, sequencing, experimentation, and stakeholder buy-in, you will build the strategic confidence to move credibly from insight to execution, advancing digital initiatives that are strategically sound, politically viable, and designed to learn rather than overcommit.
This course builds the practical innovation toolkit needed to turn digital ideas into validated, strategically grounded initiatives. By the end, you will be able to:
- Assess digital opportunities and leverage experimentation
- Apply tools and frameworks to business experimentation contexts
- Integrate opportunity identification, business model strategy, and experimentation into a coherent approach that aligns initiatives with organizational strategy
- Evaluate stakeholder dynamics and articulate how you will secure and maintain buy-in for radical experimentation within your organizational context
- Demonstrate a commitment to disciplined experimentation over solution-first thinking, valuing evidence and continuous learning
- Develop a practical job aid for prioritizing and testing opportunities, including business model implications, critical assumptions, testable hypotheses, and experiment sequencing