Introduction
Startups often rush to build features without validating assumptions. Here are the most common mistakes we see—and how to avoid them.
1. Building too many features before product-market fit
Focus on the smallest feature set that validates your core hypothesis. Each additional feature increases complexity, slows feedback loops and raises costs.
2. Ignoring onboarding and first-time user experience
Users judge an app in the first 30–60 seconds. Invest in progressive onboarding and reduce friction for primary tasks.
3. Not instrumenting product usage
Without analytics you’re flying blind. Track key funnels, retention and error rates to make data-driven decisions.
4. Underestimating performance and device fragmentation
Optimize for low-end devices, especially in price-sensitive markets. Profiling and selective image/video loading go a long way.
5. Poor communication with engineering teams
Establish clear priorities, acceptance criteria and a single source of truth for designs. Regular demos and iterations prevent misaligned expectations.
Conclusion
Avoiding these mistakes requires discipline: define the riskiest assumptions, build measurable experiments, and iterate based on real user feedback.