MVP — Minimum Viable Product — is one of the most misunderstood terms in product development. It has become a synonym for "half-finished delivery." But the real definition is different: the smallest product that completely solves a real problem for a specific group of users.
The difference between an MVP and an incomplete product
An incomplete product has features cut that should be there. An MVP lacks features that shouldn't be there yet.
The difference is what was cut and why. An MVP isn't about doing less — it's about doing the right thing first.
How to define the MVP scope
The process that works:
1. Define the core problem Not the solution. The problem. "Petshops lose appointments due to lack of organization" is a problem. "A scheduling system" is a premature solution.
2. Identify the most urgent user Who feels this problem most painfully today? That's your MVP user. Don't try to solve it for everyone at the start.
3. List the solution hypotheses What has to be true for your product to work? Write those hypotheses down. They guide what you need to validate.
4. Define the smallest complete cycle What is the simplest flow that solves the problem from start to finish? That's the MVP.
What to cut from the MVP
Practical rule: if removing a feature breaks the main flow, it goes in. If it doesn't, it waits.
In Petzara (a system for petshops), the initial version didn't have: financial reports, inventory control, its own mobile app, WhatsApp integration. But it had what mattered: scheduling, client registration, and basic service tracking per employee.
That was enough to validate whether the product solved the real problem before building more.
Stack for fast MVPs
The choice of technology directly affects delivery speed. For web system MVPs:
- Next.js + TypeScript: SEO, performance, and productivity in one stack
- Prisma + PostgreSQL: fast modeling with type safety
- Tailwind CSS: consistent UI without a heavy framework
- Vercel + Railway: deploy in minutes, not days
Iteration speed matters more than a perfect technology choice in an MVP.
When the MVP is ready
The MVP is ready when:
- It solves the user's core problem from start to finish
- A real user can use it without instruction
- You can learn from real usage
Not when it's "perfect." It never will be. And it shouldn't be — you'll learn more from the first real user than from months of planning.