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.