Question 1

What is the difference between an MVP and a full product?

Accepted Answer

An MVP includes only the core features needed to test your product idea with real users. A full product includes the complete feature set, polished design, and infrastructure for scale. The MVP proves the concept. The full product builds on what the MVP proved worked. Skipping the MVP stage often means building the wrong full product.

Question 2

What is the best tech stack for MVP development in 2026?

Accepted Answer

The best tech stack depends on your product type. React and Node.js remain popular for web MVPs. React Native and Flutter are common choices for mobile MVPs that need to run on both iOS and Android. For AI-powered MVPs, Python is standard on the back end. The right stack also depends on your team's existing skills and your long-term scaling plans.

Question 3

How do I validate an MVP before a full launch?

Accepted Answer

Start with a small group of target users, not a public release. Collect structured feedback through interviews, surveys, and usage analytics rather than informal conversations. Define specific success metrics before launch, such as activation rate or retention after seven days, so you have a clear standard to measure against rather than making subjective judgments about what the results mean.

Question 4

How do I pitch an MVP to investors after launch?

Accepted Answer

Focus on what you learned, not just what you built. Investors in 2026 want to see evidence of real user behavior, early retention data, and a clear explanation of what the MVP proved and what it did not. A well-documented MVP with honest metrics and a clear next-phase roadmap is more compelling than a polished product with no user data behind it.

Question 5

Do MVP development companies offer post-launch support?

Accepted Answer

Most reputable MVP development services companies offer post-launch support, but the scope varies significantly. Some offer a short warranty period for bug fixes only. Others offer ongoing development retainers for iteration and scaling. Always confirm post-launch support terms before signing any agreement, and make sure your contract includes codebase handover and documentation regardless of what happens after launch.

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