Predicting The Future

Show notes

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

  • 00:00 – The problem with future predictions
  • 04:00 – Why experts get it wrong
  • 06:00 – Scenario planning explained
  • 12:00 – Early adopters vs. reality
  • 20:00 – AI, GUIs, and extreme takes
  • 27:00 – Using scenarios in product work
  • 34:00 – 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:

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