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How can AI help brainstorm useful product features?

Use AI to explore alternatives while keeping feature decisions grounded in a specific user problem.

How can AI help brainstorm useful product features?

AI can suggest many possibilities quickly, but the number of suggestions is not evidence of product value. Give brainstorming a clear boundary so the output is easier to evaluate.

Supply context and constraints

Describe the target user, their current workflow, the difficult step, and the intended outcome. Ask for alternative ways to reduce that difficulty. For example, a creator struggling with script revisions may need version history or review controls more than another visual effect. Specify limits such as a small first release and an existing technology stack.

Challenge each suggestion

Ask what user evidence supports an idea, which assumption it depends on, and what simpler alternative exists. Treat invented market statistics or user quotes as unverified claims. Group overlapping suggestions, then choose a small number to investigate. Write down why you accepted or deferred each one. A useful exercise is to ask the assistant for reasons a proposed feature might fail, then compare those concerns with observations from real users.

No. It produces hypotheses and alternatives; users and observed workflows provide evidence.

Constrain the user outcome, group duplicates, and require a reason for including each feature now.

Verify them against credible sources before using them to justify product decisions.

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