Lean Testing

Lean Testing

Lean Testing is a methodology for validating product ideas and assumptions through fast, iterative experiments with real customers. It focuses on speed and learning with minimal viable tests.
testing validation experimentation lean agile

Lean Testing: Validate Product Ideas Fast

A methodology for rapid testing and validation of product ideas, focusing on speed and customer-centric learning with minimal viable tests.

What is Lean Testing?

Lean Testing is a customer development methodology popularized by Ash Maurya for rapidly validating product ideas and assumptions. The key principles of Lean Testing include:

  • Getting out of the building to test ideas directly with real customers
  • Designing minimal viable tests that take days, not months
  • Iterating quickly based on customer feedback to find product/market fit
  • Focusing on problems, solutions, key metrics, and testing channel fit
  • Using an accelerated method versus traditional market research

The goal of Lean Testing is not to produce finely polished products. Rather, it aims to determine if the products solve real customer problems before investing more time and money in development. This is done through continuous experiments and measurements with target customers in the market.

Lean Testing typically follows a process of first identifying key assumptions, then designing low-fidelity MVP experiments, gathering customer data, and reviewing results to determine if pivot or proceed decisions are needed. This rapid validate-or-invalidate loop replaces extended planning and theorizing.

Lean Testing Features

Features

  1. Prioritizes speed and learning over comprehensive testing
  2. Uses short, iterative experiments to validate assumptions
  3. Focuses on testing with real customers early and often
  4. Emphasizes minimal viable tests to maximize learning
  5. Provides framework for quickly testing ideas before investing in full product

Pricing

  • Free
  • Open Source

Pros

Accelerates product validation and feedback

Minimizes risk by testing assumptions

Saves time and money by avoiding over-engineering

Enables pivoting based on real customer data

Promotes building only features customers want

Cons

Less focus on comprehensive testing

Not as applicable for complex systems

Relies on access to real prospective customers

Requires flexibility to pivot product direction

Testing is dependent on the experiment design

Official Links


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