Definition
Discovery-driven Planning is a planning methodology used for projects with high levels of uncertainty, such as Disruptive Technology or emerging markets. Unlike traditional “execution-driven” planning, which assumes the market is known and focuses on hitting targets, discovery-driven planning treats the business plan as a set of hypotheses to be tested through cheap, rapid experimentation.
Why It Matters
In a disruptive market, your “strategy” is actually just a collection of unverified guesses that can lead to catastrophic capital drain if followed blindly. Discovery-driven planning treats the plan as a series of cheap experiments, ensuring you discover the actual market reality before your resources run dry.
Core Concepts
- Plans for Learning vs. Plans for Execution: In stable markets, plans are for implementation. In disruptive markets, plans must be designed to generate information and resolve uncertainties.
- Assumption Mapping: Identify every assumption that must be true for the business to be successful (e.g., “Customers will pay Y,” “The market size is Z”).
- How to read: “The variables represent customers paying X, manufacturing costing Y, and the market size being Z.”
- Meaning / when to use: Each placeholder (, , ) is a hypothesis to test before scaling; unresolved assumptions are the primary failure mode in disruptive markets.
- Checkpoint-based Funding: Allocate resources in small “tranches” linked to the resolution of specific assumptions (checkpoints), rather than funding the entire project upfront.
- Failure of the “First Guess”: Most successful businesses in new markets did not end up with their original strategy. Discovery-driven planning ensures the firm survives the inevitable failure of its initial assumptions.