To cut through MVP debates, apply a simple test: What is the problem? What is its cause? What solution addresses it? If you can remove a feature component and the core problem is still solved, it is not part of the MVP. If not, it is essential.
Related Insights
For AI products, the quality of the model's response is paramount. Before building a full feature (MVP), first validate that you can achieve a 'Minimum Viable Output' (MVO). If the core AI output isn't reliable and desirable, don't waste time productizing the feature around it.
Allocate 50% of your roadmap to core functionality ('low delight'), 40% to features blending function and emotion ('deep delight'), and 10% to purely joyful features ('surface delight'). This model ensures you deliver core value while strategically investing in a superior user experience.
While the goal is to build a platform (second-order thinking), initial single-purpose app ideas (first-order) are critical. They serve as your "golden evaluation set"—a collection of core use cases that validate your platform is solving real user problems and is truly useful.
The obsession with lean methodology has created a market of low-quality, uninspiring software. In this environment, building a polished, considered, and beautiful end-to-end product is no longer a luxury but a true competitive advantage that stands out and inspires users.
When handed a specific solution to build, don't just execute. Reverse-engineer the intended customer behavior and outcome. This creates an opportunity to define better success metrics, pressure-test the underlying problem, and potentially propose more effective solutions in the future.
Figma learned that removing issues preventing users from adopting the product was as important as adding new features. They systematically tackled these blockers—often table stakes features—and saw a direct, measurable improvement in retention and activation after fixing each one.
A visionary founder must be willing to shelve their ultimate, long-term product vision if the market isn't ready. The pragmatic approach is to pivot to an immediate, tangible customer problem. This builds a foundational business and necessary ecosystem trust, paving the way to realize the grander vision in the future.
Instead of debating individual features, establish a clear "perspective" for your product. Artist's perspective as a "push-based product for quick insights" makes it easy to reject requests that don't align, like building an in-house video hosting tool. This aligns the entire organization and simplifies the roadmap.
When teams constantly struggle with prioritization, the root cause isn't poor backlog management. It's a failure of upstream strategic filters like market segmentation, pricing, and product discovery. Without these filters, the feature list becomes an unmanageable mess of competing demands.
The misconception that discovery slows down delivery is dangerous. Like stretching before a race prevents injury, proper, time-boxed discovery prevents building the wrong thing. This avoids costly code rewrites and iterative launches that miss the mark, ultimately speeding up the delivery of a successful product.
