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    Lean Startup

    Also called: Lean methodology, Build-Measure-Learn

    TL;DR

    A methodology for building startups under uncertainty using rapid Build-Measure-Learn cycles instead of long product plans.

    The Lean Startup method, introduced by Eric Ries, treats every startup decision as a hypothesis to be tested cheaply through Build-Measure-Learn loops. The core unit is the experiment: a small build, a measurable outcome, and a decision to persevere or pivot based on the data.

    The practice popularized concepts like the MVP, validated learning, innovation accounting, and the explicit pivot. Most modern accelerators teach a watered-down version of it, but the underlying insight, that startup work is mostly hypothesis testing under uncertainty, not project execution, remains the dominant frame for early-stage company building.

    Worked example

    A founder hypothesizes contractors will pay $49/mo for invoice software. They run a $200 Facebook ad to a Stripe-checkout landing page, get 6 paid sign-ups in a week (cohort 1), then build the actual product in sprint 2 informed by what those buyers actually asked for in onboarding calls.

    Common pitfalls

    • Treating 'lean' as 'cheap' rather than 'fast learning'.
    • Running experiments without an explicit hypothesis or success threshold.
    • Optimizing for ship velocity instead of learning velocity.

    When this shows up in a pitch deck

    Rarely cited by name in an investor deck, but the underlying discipline shows up on the Roadmap and Customer Discovery slides.

    See Lean Startup in context

    Lean Startup shows up most often in these scoring rubrics and investor profiles, jump straight to who cares about it and how to pitch them.

    Related terms

    Use Lean Startup in your next pitch deck

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