MVP definition

Strategy and Product

MVP definition

An MVP is not a “poor version”: it is the smallest coherent slice that learns what matters at controlled cost—and does not create unpayable technical debt when demand grows.

Separating must-haves from nice-to-haves needs explicit criteria: business risk, technical risk, regulatory dependencies, and marginal cost per user. We work with squads that must ship fast but already see performance, multi-tenant, or integration bottlenecks.

For founders new to digital we translate vision into epics, non-goals, and an initial release train; for products with traction we focus on slicing the next increment without breaking implicit contracts with current customers.

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Deliverables

MVP scope document

Inclusions, exclusions, assumptions, and success definition.

Epic and dependency map

Visual or table linked to your backlog tool.

Minimum NFR matrix

Performance, security, privacy when applicable, availability.

Acceptance criteria per story/flow

Given/when/then or QA-reviewable checklist.

Metrics and instrumentation plan

Recommended events, properties, and baseline targets.

Engineering handoff brief

Known technical risks, temporarily accepted debt, and next hardening steps.

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Execution methodology

  1. Outcomes and risks map

    What learning or business outcome the MVP must prove; top three risks (technical, market, operations).

  2. Scope cut and non-goals

    Explicit list of what stays out of the first wave and why—to prevent emotional scope creep.

  3. Epics, dependencies, milestones

    Sequencing with attention to integrations (auth, payments, webhooks) and minimum non-functional needs (security, observability).

  4. Acceptance criteria and tests

    Measurable “done” per critical flow; smoke tests and minimum quality signals before launch.

  5. Post-release learning plan

    Product events, dashboards, interviews, and pivot/scale criteria with owner and cadence.

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