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Should we build this feature or kill it?

Features are easy to start and hard to remove. The strongest case to build is demand you can measure; the strongest case to kill is low usage against ongoing maintenance cost.

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Free to try. GPT, Claude, Gemini and DeepSeek answer independently.

What actually decides it

  • Evidence of demand

    Repeated customer requests tied to revenue or retention beat internal enthusiasm.

  • Ongoing cost

    Every feature adds support, testing and complexity forever, not just build time.

  • Opportunity cost

    What would the team ship instead? Compare against the next-best use of the same weeks.

  • Reversibility

    Can you ship a small version and learn before committing fully?

What would change the answer

  • Usage data on the closest existing feature
  • Customers willing to pay or commit for it
  • A lighter version that tests the assumption

Get a verdict on your situation

Generic advice only goes so far. Add your numbers and see where four leading AI models agree, where they split, and what could change the answer.

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