Validation

Definition
Validation is gathering real evidence, ideally involving money or commitment, that people want what you are building before you spend months building it.

Why it matters

Many failed products share one expensive cause: they were built for a need that was not urgent enough to pay for. People are polite in conversation and will say they would use almost anything. Survey answers and waitlist sign-ups cost the respondent nothing, so they inflate easily and are best treated as a hint rather than a verdict. Validation moves the question from "would you?" to "will you, now?".

How to apply it

  • Pick the riskiest assumption behind the idea. Usually it is whether anyone will pay.
  • Design the smallest test that could return an honest no, not a polite maybe.
  • Climb a ladder of evidence: interviews, then a sign-up page, then a pre-order or paid pilot.
  • Watch what people do, not what they say they would do.
  • Agree in advance what result counts as a pass, so the outcome cannot be argued afterwards.

What it is

Validation is the work of testing an idea against reality before committing to it. The key word is evidence. A friend saying "sounds great" is not evidence. A stranger paying a deposit, signing a letter of intent or booking a paid pilot is. The more the other person gives up, the more the signal is worth.

Worked example

A consultant wants to build a reporting tool for dental clinics. Before writing any code, she emails thirty clinic owners offering a manual monthly report for a fixed fee, delivered by hand. Four say yes and pay. That is stronger evidence than a hundred encouraging survey replies, and the paid reports show exactly what the tool must produce.

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    Kill criteria

    The line a validation test is measured against.

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    Usability testing

    Watching how people use something once the need is proven.

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    Pivot

    The change of direction when validation keeps returning no.

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    User interview

    An earlier, softer form of evidence gathering.