Discovery-driven growth (McGrath)

“Fail fast, fail cheap” captures discovery-driven growth: in a highly uncertain venture, the first plan is a set of assumptions to test, not a forecast to defend. Rita Gunther McGrath and Ian MacMillan developed the approach after studying why carefully planned growth initiatives fail even in well-managed companies.

When to use it

• Use it for products or markets with high uncertainty, especially a new product entering a new market. The product/market matrix helps distinguish that situation.
• Think like a venture investor: maintain several opportunities with meaningful upside, cap total exposure, buy small learning options and fund the next step only when evidence justifies it. Accept that many options will stop.

Origins

McGrath and MacMillan developed discovery-driven planning in earlier work and consolidated the growth process in Discovery-Driven Growth: A Breakthrough Process to Reduce Risk and Seize Opportunity, published in 2009. Their central contribution was to reverse conventional planning under uncertainty: make assumptions visible, test them at planned checkpoints and control exposure before committing the full investment.

What it is

Fail fast, fail cheap.

The 2009 framework helps managers select growth opportunities, learn quickly and either scale them successfully or discontinue them at low cost. It challenges the use of conventional planning as if uncertain ventures were predictable extensions of the core business.

A typical proposal arrives as a 100+ slide deck containing a market gap, proposed offer, resource plan and precise forecasts supported by spreadsheets of revenue, cost, NPV, IRR and sensitivity analysis. In an unfamiliar market, those numbers will inevitably change.

Once the board approves a large commitment, emerging evidence may show that demand, product design or distribution differs from the plan. Yet teams become psychologically and politically committed and revise the deck to defend continuation instead of reconsidering the venture.

DCF, NPV and IRR remain useful under normal uncertainty; see Making the strategic investment decision. In a high-uncertainty venture, however, rigid application can hide what is not known. Treat the initial investment as an option: the right, not the obligation, to make the next investment after learning.

Break a large venture into components, each with a small commitment and explicit evidence requirement. The team avoids rebuilding a 100 slide defence, the organisation responds faster and total downside remains contained.

An options-oriented investment strategy

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How to use it

Use three linked practices:

Develop a reverse profit-and-loss statement.

Identify the assumptions required for it to work and define checkpoints.

Test those assumptions over time through disciplined discovery.

Start with a target rather than a top-down forecast. Define the profit required to justify the venture, add the costs necessary to operate it and calculate the revenue needed. Then ask whether the implied price, volume and market share are credible. A plan requiring 150 per cent market share fails this elementary reality check.

Create a live assumption register for every important revenue and cost driver. State current confidence, the evidence that would validate or refute the assumption, the owner and the date or event at which it will be reviewed.

Design each checkpoint as a learning event—a market study, product sample, focus group, beta trial, pilot plant or pilot campaign. Specify the cost, exposure limit and decision rule in advance. At the checkpoint, continue, redirect, pause or stop according to evidence rather than sunk cost.

The purpose is to convert assumptions into knowledge as quickly and inexpensively as possible. Over time, the venture earns larger commitments by reducing uncertainty. Stopping at a checkpoint is not failure of governance; it is the mechanism that keeps an unpromising project from becoming an uncontrolled gamble.

Top practical tip

Write every material assumption as a testable statement with an owner, evidence plan, checkpoint and maximum affordable exposure. Fund learning before funding scale, and define the stop decision before enthusiasm and sunk cost accumulate.

Top pitfall

Do not abandon conventional financial appraisal for routine investments with low or moderate uncertainty. Discovery-driven planning is most valuable where key facts truly cannot be known in advance; using it everywhere can replace necessary discipline with endless experimentation.

Further reading

• McGrath, R.G. and MacMillan, I.C. (nineteen ninety-five). “Discovery-Driven Planning.” Harvard Business Review.
• McGrath, R.G. and MacMillan, I.C. (two thousand and nine). Discovery-Driven Growth: A Breakthrough Process to Reduce Risk and Seize Opportunity. Harvard Business Press.