A strategy hypothesis is a coherent set of consequential strategy choices intended to achieve a strategic aspiration or objective, together with the beliefs and assumptions about the environment and the behavior of other actors on which those choices rest. BRI Associates frames every new business or product strategy as a hypothesis: not a plan to be executed on conviction, but a set of propositions whose riskiest assumptions are identified and validated with evidence before significant resources are committed.
Three things travel together in a well-formed hypothesis. The strategy choices are the consequential decisions within the team's control — target markets, the whole solution, the business model, the implementation approach. The strategy beliefs are the team's view of the environmental catalysts and trends that make the opportunity real. And the assumptions are everything the strategy depends on but the team does not yet know. BRI types those assumptions into three kinds — strategy choices (within your control), assertions (about what other actors in the value network will do), and uncertainties (quantified unknowns) — and every one carries a stated evidence level, so the team always knows how much confidence the hypothesis actually warrants rather than mistaking a confident slide for a validated fact.
A strategy hypothesis is written in the schema of BRI's six-dimensional Strategy Framework — Target Markets & Unmet Need, Competitive Differentiation, Whole Solution, Implementation Approach, Financial Logic, and Staging — in service of a Strategy Objective. It is then developed, evaluated through the Desirability–Feasibility–Viability (DFV) lens, and validated through the inner loop of BRI's Innovation Methodology: each pass gathers evidence that reduces the riskiest uncertainties before the next stage-gate decision (Continue / Pivot / Pause / Stop). Investment is released against evidence-readiness, not a calendar. In Growth Forge® Software the hypothesis becomes the Strategy Hypothesis Model — the central, interactive artifact, delivered with structured inline guidance and built-in AI assistance, carrying all six dimensions, their assumptions, and their evidence levels in one place.
Treating strategy as a set of assumptions to be tested rather than a plan to be executed has clear roots. Rita Gunther McGrath and Ian MacMillan's Discovery-Driven Planning made the explicit case for surfacing and testing a venture's assumptions before committing capital; Steve Blank's customer-development approach and Eric Ries's Lean Startup reframed new ventures around validating business-model hypotheses. BRI's contribution is the formal structure: an explicit assumption taxonomy (choices, assertions, uncertainties), an evidence level on every assumption, and a direct tie from the hypothesis into a six-dimensional strategy schema and staged-investment governance — turning "test your assumptions" from a slogan into an operational discipline.
