Feature Scoping

Asha's wish list for Pantry Pal has fourteen items: meal plans, grocery delivery, nutrition charts, a social feed, voice input, barcode scanning and more. An AI builder would happily generate all fourteen in an afternoon. Then she would own fourteen features to test, fix and explain, before knowing whether anyone wants the first one.

The rule

Ship one complete loop; cut everything the loop does not need.

A loop is the shortest path from a user's need to a result they value, end to end. For Pantry Pal: enter what is in the kitchen → get three dinner ideas → open one and cook it. If that loop does not deliver value, no extra feature will rescue the product. If it does, users will show you what to add next.

"Complete" matters as much as "one". A loop with a missing last step — ideas but no recipe steps — teaches you nothing, because nobody can finish it.

Sort every idea into three lists:

• Must — the loop breaks without it.
• Later — it makes the loop nicer, not possible.
• No — it belongs to a different product.

AI tools change the arithmetic of this decision. Generating a feature is now cheap, but owning it is not: every feature still has to be reviewed, tested, kept safe, explained to users and fixed when it breaks. Cheap to generate is not cheap to own.

The shortcut

For each feature, ask: "If I remove it, can a new user still get from need to result?" If yes, it is not a Must.

Look at the allergy setting again. Scoping is not "cut as much as possible"; it is "cut what the loop does not need", and a loop that can hurt someone is not complete.

Drills

Answer fast — trust the rule.

Remember

• Ship one complete loop; cut everything the loop does not need.
• Ask "without it, can a new user still get from need to result?"
• Trap: adding features because AI makes them cheap to generate. They are not cheap to own.