What is Lean Startup? Definition & Methodology | early.tools
The Lean Startup methodology, popularized by Eric Ries, is a systematic approach to building startups that emphasizes learning what customers actually want before scaling production. The core principle is the Build-Measure-Learn feedback loop: build a minimum viable product (MVP), measure how customers respond, and learn whether to pivot or persevere.
Unlike traditional business planning that assumes you know what customers want, Lean Startup treats your business model as a series of untested hypotheses. You test these hypotheses through experiments with real customers, gathering data to validate or invalidate assumptions before investing significant resources.
Key practices include:
**Validated Learning**: Measure progress not by features shipped or code written, but by learning whether your hypotheses are true. If you learn your product idea won't work, that's valuable learning that saves future resources.
**Build-Measure-Learn Loop**: The fastest way through this loop wins. Build the smallest thing that tests your hypothesis (MVP), measure customer behavior, learn from the data, and iterate.
**Innovation Accounting**: Traditional accounting metrics (revenue, profit) don't work for early-stage startups with no customers. Instead, track learning milestones: Did we validate this hypothesis? Did conversion improve? Are we moving toward product-market fit?
**Pivot or Persevere**: Based on validated learning, decide whether to pivot (change strategy without changing vision) or persevere (stay the course). Pivots are strategic corrections, not failures.
Lean Startup is particularly valuable for founders facing high uncertainty. If you're building something genuinely new, you can't rely on market research or competitive analysis—you need direct customer feedback. The methodology helps avoid the common failure mode of building something nobody wants.
Critics note that Lean Startup works better for iterative products than breakthrough innovations, and that over-optimizing for early customer feedback can lead to incremental thinking rather than visionary products. The methodology is a tool, not a religion—adapt it to your context.
