Lean Startup & MVP
Lean Startup is a method for developing new business ideas under extreme uncertainty: instead of executing a plan, the riskiest assumptions are tested through fast experiments. Its core is the build-measure-learn loop; the minimum viable product (MVP) is the smallest artefact that enables validated learning about customers.
Origin
The approach was formulated by Eric Ries (The Lean Startup, Crown Business, 2011), who combined his experience as a founder with the principles of lean production. Conceptually it builds on Steve Blank's customer development (The Four Steps to the Epiphany, 2005), whose central injunction — “get out of the building” — demands testing assumptions with customers rather than at the desk. Ries added the vocabulary that has since prevailed: validated learning, innovation accounting, and the pivot as a methodically grounded change of course.
Typical use
The approach belongs wherever market data are missing because the market does not yet exist: new product categories, new customer segments, new business models — in startups and corporations alike. In practice it follows on from modelling work: the critical assumptions of a Business Model Canvas or Value Proposition Canvas supply the list of hypotheses that the experiment loop works through. For optimising a running business with reliable data, by contrast, it is the wrong tool.
Procedure
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Make the assumptions explicit
The business idea is decomposed into its leap-of-faith assumptions: which value hypothesis (customers want this) and which growth hypothesis (it reaches enough customers) must hold for the venture to work? The riskiest assumption is tested first.
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Build an MVP
For that assumption, construct the smallest experiment that measures real customer behaviour — a landing page, a concierge service, a manually operated prototype. The yardstick is not product maturity but learning gained per week and per euro.
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Measure with innovation accounting
What is measured is behaviour, not applause: cohort analyses, and for each experiment one metric with a threshold defined in advance. Vanity metrics — cumulative sign-ups, page views — are expressly excluded, because they rise under almost any circumstances.
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Learn: pivot or persevere
At a fixed cadence, the team decides on the basis of the data: stay the course or pivot — replace a core assumption such as customer segment, problem or revenue mechanism, without discarding what has been learnt. A pivot is a result of the method, not an admission of failure.
Limits and typical mistakes
The most widespread misunderstanding concerns the MVP: it is a measuring instrument, not a half-finished product. Whoever ships a stripped-down version of the planned product without it testing a defined assumption is launching prematurely, not learning in a validated way — and may damage the brand with the very first customers. The second risk is metric theatre: experiments are designed to confirm what has already been decided, or numbers are arranged into a success story after the fact. Third, the approach has limits of applicability — with long development cycles, heavy regulation or safety-critical products, the loop cannot be shortened at will. And finally, Lean Startup does not answer the question of where: which search fields are strategically relevant must be settled beforehand.
Relation to the Innovator's Dilemma
Christensen's finding reads: markets that do not yet exist cannot be analysed — the planning instruments of the core business fail there systematically, and whoever demands solid numbers before investing cedes disruptive markets to the attackers. Lean Startup is the methodical answer to precisely this finding: discovery replaces planning. Instead of demanding an impossible forecast, the organisation buys certainty step by step through small experiments — validated learning is the only reliable substitute for planning in markets without data. For this to work inside an established company, however, evaluation standards beyond the usual return calculation are needed; what else makes disruptive ventures fail internally is shown by disruption analysis.