Creating Unwanted Products: The Paradox of AI Innovation by Niki Tisza

Rethinking AI in Product Development: A Cautionary Take

AI is revolutionizing product development—but it’s not the technology that’s failing us; it’s how companies use it. Many are making classic product mistakes faster and with misplaced confidence. The cycle of creating AI products looks like this:

• Step 1: No user engagement
• Step 2: Ask AI for insights
• Step 3: Build based on those insights
• Step 4: Repeat until funds run dry

This process often neglects genuine user understanding and relies on AI-generated predictions instead of real user feedback.

What Works?

1. Engage with users directly: Conduct open-ended interviews, not surveys.
2. Prioritize their needs: Have users rank their challenges.
3. Assess user retention vs. acquisition: Know your audience.

Successful AI projects complement user insights, treat AI as a tool, not a strategy, and refuse to chase trends for the sake of it.

💡 Join the conversation and rethink your AI strategy today! Share your thoughts below!

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