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Shownotes
Key Takeaways
• Confident predictions are often wrong
• Early adopters don’t represent everyone
• Treat predictions as one possible future
• Scenario planning > trying to be right
• Focus on patterns, not hype
Timestamps
• – The problem with future predictions
• – Why experts get it wrong
• – Scenario planning explained
• – Early adopters vs. reality
• – AI, GUIs, and extreme takes
• – Using scenarios in product work
• – Final thoughts
The Core Idea
• We’re in a period of change—but no one can predict exactly how it plays out
• Strong predictions often ignore uncertainty
A Better Approach
• Treat every prediction as a scenario
• Ask: what else could happen?
• Use multiple futures to guide decisions
What to Watch For
• “My experience = everyone’s future” thinking
• Over-indexing on early adopters
• Ignoring real-world constraints
How to Apply It
• Run quick scenario exercises with your team
• Push ideas to extremes to explore implications
• Extract the underlying insight (not the exact prediction)
Resources & Links:
• Follow Teresa Torres: ProductTalk.org
• Follow Petra Wille: Petra-Wille.com
Mentioned in this episode:
• Claude Code (claude.com/product/claude-code)