Great products don't start with a great idea. They start with the right problem.
Most early ventures fail because teams build something nobody wants badly enough. That's a problem-selection failure, not a technology or execution problem.
In two hours, you'll generate real problem candidates, then run them through a fast filter using the criteria that separate a problem worth building for from one that just sounds interesting. You'll then land on your strongest candidate and frame it for user research.
You'll leave with a written problem statement, a map of your assumptions, and the questions to ask real users this week.
AI handles the overhead. You do the thinking.
This is a hands-on introduction to the product thinking behind ProductBC's fall Build-a-thon. It's open to anyone who's curious, and especially useful if you're considering applying to the program.
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