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Upsides and Downsides

9 months ago
  • #AI
  • #product-development
  • #startups
  • Startups must shift their product approach as they grow, moving from focusing on 'upsides' (strong-link problems) to 'downsides' (weak-link problems).
  • Early-stage startups thrive on solving strong-link problems where variance and outliers are beneficial.
  • Mature startups face weak-link problems, requiring reliability, security, and risk minimization to satisfy late adopters.
  • Founders from big companies often struggle with early-stage startups because they don't prioritize exploration over perfection.
  • Balancing core product maintenance with new, high-variance bets is crucial for mature companies.
  • Segment used the McKinsey horizon framework: 60% core, 30% emerging bets, 10% new bets.
  • AI products currently excel in the 'upside' phase but struggle with reliability needed for mass adoption.
  • Successful AI tools like Copilot and Midjourney cross the chasm by being reliable, not just impressive.
  • Regularly assess whether customers prioritize upside or downside to adjust product focus accordingly.