Kill criteria

Definition
Kill criteria are the conditions you set in advance that will trigger shutting a project, product or experiment down, decided while you can still think clearly.

Why it matters

Projects rarely die cleanly. Without a pre-agreed line, they drag on, absorbing time and money because nobody named the point at which enough is enough. The longer something runs, the harder it is to stop, since everything already spent feels like a reason to continue. That is the sunk-cost trap. Setting the line before starting means the decision is made by a calm earlier self, not by a person who has spent months on the idea.

How to apply it

  • Choose a number that can be measured without argument: revenue, activation rate, paying customers or months of runway.
  • Add the date. The number means nothing without a deadline.
  • Write it down before the work starts and share it with whoever is affected, so it cannot be quietly moved.
  • Put the metric where it triggers a real decision, such as a calendar review, not a chart nobody reopens.
  • When the date arrives, decide. Stop, or change the plan on purpose and write a new criterion for the new plan.

What it is

Kill criteria are a written line: if this happens by this date, the project stops. They have three parts. A number that can be watched, a date by which it must be reached, and a named person who makes the call. "If fewer than one in five signups has finished setup after sixty days, the product wedge is dropped" is a kill criterion. "Stop if it is not going well" is not.

Common mistakes

  • Setting the line after a bad week, when it is already shaped by disappointment.
  • Moving the goalposts when the date arrives. A criterion that changes when it bites was only a suggestion.
  • Setting only a stop condition. Writing the success condition too makes the decision balanced.
Worked example

Suppose a six-person consultancy launches a paid training course, with a written rule: if fewer than one in five buyers finishes the first module within sixty days, the course is dropped. The owner records the number, the date and the decision owner in a shared tracker built in Airtable, one row per project. Sixty days later the tracker shows 14 per cent, below the line. Nobody debates whether the course is good enough. The team stops it, moves its two designers onto client work and writes the outcome in the same row. Without the line set in advance, the team would probably have spent another quarter polishing modules that buyers were not finishing.

Tools in the example

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  1. Article

    Validation

    The evidence that kill criteria are set to judge.

  2. Article

    Pivot

    The move that often follows a stop decision.

  3. Article

    Minimum viable test

    A cheap experiment that makes the criteria easy to set.

  4. Article

    Hypothesis testing

    The habit of naming what would prove an idea wrong.