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Key Takeaways Most bad AI features start with companies asking, “Where can we add AI?” rather than identifying real user needs and desires, which leads to unnecessary complexity, low adoption and little real value.
The pressure to move fast on AI is real, but teams need to slow down and ask these seven questions first — because the cost of getting it wrong is higher than many realize.
The pressure to add AI to your product — from competitors, investors and a near-daily stream of industry announcements — is tangible.
But before committing to an AI feature or tool, you need to ask yourself these seven questions first.
1. Are you solving a real problem?
I think most bad AI features start with the question, “Where can we add AI?” rather than “What are our users struggling with?”
When you start from the technology side, you end up building for the demo, not for the user. A chatbot that answers questions in natural language sounds impressive in a presentation, but it doesn’t show whether users had that problem in the first place or whether they’d actually reach for this over whatever they already used.
For example, if an AI assistant gets added to an onboarding flow that users already complete without friction, it adds no value, may hurt the experience and still costs real money to maintain.
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