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?
- Engage with users directly: Conduct open-ended interviews, not surveys.
- Prioritize their needs: Have users rank their challenges.
- 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!
