Most people asking about an MVP have it wrong. They think it means "a cheap, incomplete version to test with." That definition is why most products fail at launch.
The correct definition
An MVP is the smallest version that completely solves one problem for a specific group of users.
The key word is "completely." If you're building a delivery app, the MVP isn't "an app that lists restaurants but can't take orders." That's not a product, it's a demo. The right MVP: one restaurant, one neighborhood — but the customer can actually order, pay and receive.
Reducing scope is correct. Reducing journey completeness is not.
How to decide launch features
Write every feature in your head as a list. Then ask one question of each: if I remove this, can the user still solve their core problem?
- If yes → it's not in the launch.
- If no → it's essential.
The question is simple but brutal, and it usually reveals that 70% of what you planned isn't needed yet.
A real example: a clinic booking platform. The user needs to find a doctor, see open slots and book. That's the core. Doctor ratings, medical records, online payment, a loyalty program — all of that waits, however nice.
What you must never defer
This is exactly where people go wrong. Some things aren't "features," and deferring them costs multiples:
Security. Postponing proper validation and data protection isn't saving money, it's debt with interest. The first breach costs more than building it right.
Database structure. You can defer a screen; you can't defer table design. Restructuring after real data exists is painful and expensive.
Backups. From the first day real data exists.
Usage measurement. If you don't know what users do, you'll build the next phase on guesswork.
A minimum quality of experience. A slow app or confusing interface makes users leave and not return. First impressions happen once.
Realistic timeline and cost
A credible MVP for a web platform: 6–12 weeks and EGP 100k–250k depending on complexity. If someone quotes far less, they're likely handing you a template in disguise.
And importantly: reserve 30–40% of your budget for the phase after launch. What you learn from the first 100 users will change your plans, and you need money left to act on it.
The biggest mistake: launching without measurement
People launch and wait. You should launch and measure: who signed up? Where did they stop? Which screen loses people? Which feature does nobody use?
That data decides the next phase — not your opinion or mine.
Bottom line
Start with one problem, solve it completely for a specific audience, and never defer security, data structure or measurement. Launch early, learn, then grow based on real usage. If you have an idea and want to know its smallest sensible version, that's a session we run often, and it produces a clear phased plan.