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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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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