Can You Really Build an MVP in Two Weeks?

Day 1 Scope

We start with ideation and defining the scope. The client's decision maker, or a small group of decision makers, sits with our product manager or our developer leading the build. Together, we decide what to build and how much time it should take.

This can be done in one day if both sides are available and no more than two or three people are making decisions. When more people need to decide, it becomes harder to finish the scope in a day, and the 15-day timeline can be affected.

This is where people often get an MVP wrong: they try to build the whole product. We instead decide which part we believe will solve the customer's problem and build that first. We include only the features needed to test that belief.

Days 2 and 3 Design

Once the scope is final, we move to design. Unless the client's app is very niche or has a specific design need, we do not need to spend this stage creating a perfect design. This is an MVP, and we are testing the idea. We can improve the design after launch, when people have started using the product.

We first look at the client's top two or three competitors. We study their brand identity, including colors, fonts, logos, and other design choices. We see what we can learn and what the client could do differently. Many startups and companies that come to us already have these choices figured out. If the client does, this activity helps us finalize them.

Next, we make the wireframes. With our designer, product engineer, or product manager, we work with the client to decide what pages and sections the website or app will have, what screens will be in the working product, and how the user will move through them. An MVP will typically have up to three to five pages to show what the product or company does. The dashboard or working product may have about five to ten screens, not more than that. We then finalize the pages and user journey.

Once that is done, we use AI to create a dummy demo using the brand guidelines. It does not need to work. It helps us see what the app may look like and how the journey may feel to a user.

We aim to complete design in two days, or three at most. When it takes two days, development begins on day four.

Day 4 Onward Development

At this point, the main decision making by the client is complete, and we hand the work to our developer. Our developer builds the working MVP. That includes deciding the code structure and coding language, then building the core features, authentication, database, and other parts the product needs.

Our developer keeps the goal in mind: this is an MVP. Everything does not have to be planned from day one. It needs to work well enough to check whether the solution solves the problem. For a simple MVP, we do not need:

• Microservice architecture or other complicated technical systems.
• A CI/CD pipeline.
• A detailed or custom logging setup.
• To build every component from scratch when a pre-built component will do.

We can use third-party services where they help. But we do not skip security. We use rate limiting and proper authentication. This matters especially for an AI product, because calls to a language model's API cost money. Those costs can become significant, so we take care of the security systems properly.

Our developers also have AI coding tools such as Claude, Cursor, and Codex. With these tools, a developer can ideally build the kind of product we are describing in about a week. If a product is more complicated and needs a team of two or three developers, that is a different case from the simple MVP in this timeline.

Day 10 or 11 Deployment

Next, we put the product on a server or computer so people can use it online. For this kind of simple MVP, we do not need:

• A CDN.
• Kafka.
• Queues.
• Microservice architecture or another complicated setup.

We need people to be able to access and use the product. Deployment should not take more than a day. By the time it is done, we are probably around day 10 or 11.

Final Days QA Testing

The final step is QA testing. Our developer tests the product, and a testing team can help if there is one. AI usually writes unit tests and can suggest edge cases, so the unit tests are already taken care of by AI.

We still need human testers. The client can test the product, or we can ask our team to do it. We go through the user journey, see where the flow breaks, and monitor what is happening on the backend. For an AI product, we check how many tokens are being used and what the calls cost.

We may need to make one or two rounds of changes before launch. Once those are done, the MVP is ready. In our opinion, most SaaS products today can be built within this kind of timeline using AI tools.

Exceptions

There are cases where we would not promise a 15-day build and launch. It depends on the product.

The first is when we need approval from another party. For example, if the client is launching an iOS app, approval from the Apple App Store may take more than one attempt. Because the timing depends on someone else, it is not advisable to guarantee a 15-day launch.

The second is a research-based product. Research-based products do not typically fall under what we mean by an MVP here. If research is still needed, it is difficult to say that the product can be built in 15 days.

The third is a product that needs data and machine learning model training. If the data and other parts are already ready, a 15-day build may be possible in some cases. In many cases, though, that work will take longer.