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MVP scope decisions

When Your MVP Is Really a V3 in Disguise

Written by:Better SoftwareBetter Software TeamUpdated 9 min read
When Your MVP Is Really a V3 in Disguise

Quick Answer

An MVP turns into a V3 in disguise when a founder's deep domain knowledge makes every edge case, integration and configuration option feel essential from day one. The signs are a long feature list, many user types, heavy integrations and broad configurability before any user has tried the product. The fix is to name the core hypothesis, keep only the single user journey that tests it, and run everything else manually or later.

MVP scope creep often starts with expertise. You have spent years refining a process, and you see the inefficiencies, the manual handoffs and the data discrepancies, and the software that would fix them is clear in your head. It handles every edge case, integrates with legacy systems, delivers deep analytics and can be configured for every scenario.

That vision feels like the minimum viable product because, to an expert, anything less would not really solve the problem. We see this pattern among founders who know their industry well, and what they describe is usually not an MVP at all. It is a version three feature set, disguised by deep understanding of the problem.

MVP scope creep is the gradual growth of a first release until it carries features that belong to later versions. This post explains why domain experts are most exposed to it, what it costs, how an MVP and a V3 differ, a seven-step way to strip the scope back, and when a bigger first version is genuinely justified.

Why Domain Experts Scope a V3 as Their MVP

The strength that makes a founder credible, deep domain knowledge, is the same thing that inflates the first version. Experts can foresee the edge cases, compliance requirements, integrations and performance needs from the start. To them, these are not nice-to-haves. They are must-haves for any credible solution in the industry.

The catch is that many of them are must-haves for a mature product, not for a product designed to prove a core hypothesis and win its first users. We think the naive solution, building everything you know will eventually be necessary, is the most expensive mistake an expert founder can make.

Consider a hypothetical supply chain expert building a logistics platform who insists on supporting a long list of data exchange formats from day one. That breadth matters for large-scale adoption. A first version might need only manual data entry or one common format to show that the core routing logic helps a few pilot users.

What Happens When an MVP Is Really a V3

When a V3 is built under the banner of an MVP, the same problems tend to appear. We list them here because founders often only see them in hindsight.

  • Delivery stalls. Estimates balloon and every small decision gets harder because it must support future requirements.
  • Costs rise early. More features mean more development, testing and infrastructure, usually before revenue or real validation.
  • Feedback arrives late. A bigger product takes longer to build, which delays the moment real users tell you what matters.
  • Technical debt grows anyway. Forcing later-stage features into a first architecture leads to compromises, brittle code and abstractions nobody needs yet.
  • Focus drifts. The team spends its energy on complex features instead of the core value.

Most of that work may never be used. Pendo's analysis of product usage data found that 80 percent of features in the average software product are rarely or never used. A V3 built too early multiplies that waste. Our post on why most MVPs include features no one will use looks at the same problem from the user side.

MVP vs V3 Feature Sets Compared

The difference is easier to see side by side. We use this comparison with founders when a scope document starts to grow.

CharacteristicTrue MVPV3 disguised as an MVP
ObjectiveValidate problem and solution fitBroad market coverage and resilience
UsersEarly adopters with one specific problemBroad market, enterprise buyers, edge cases
FeaturesOne core user journey, manual steps allowedMany workflows, integrations, reporting and settings
TechnologySimple foundation built to changeComplex architecture sized for future scale
Success metricsEngagement, problem solved, willingness to payRetention, lifetime value, full feature adoption

Eric Ries described the MVP as the version that collects the maximum amount of validated learning about customers with the least effort. The left column serves that purpose. The right column serves a company that already knows what its customers want.

How to Strip MVP Scope Creep Back to a True First Version

We use these seven steps to cut an inflated scope back to a real first version. They work best when the founder and the engineering lead go through them together.

1. Name the Core Hypothesis

Write down the single most important assumption you need to test about your product's value, for example that a specific type of business will pay to automate a specific task.

Everything in the first version should exist to test that statement. If a feature does not help test it, it is a candidate for later.

2. Map the Shortest User Journey That Tests It

List the fewest steps a user must take to experience the core value. Remove every step that is not essential to that experience. This journey becomes the functional outline of the MVP.

We draw it as a short sequence of screens or actions on one page. If the drawing needs branches for different user types or optional paths, the scope has already started to grow beyond a first version.

3. Challenge Every Feature Against the Journey

For each proposed feature, ask if it directly enables the journey or tests the hypothesis. If not, defer it. Keep a visible later list so stakeholders can see their ideas are recorded, not rejected.

Expect this step to be uncomfortable for an expert founder, because every deferred feature solves a problem you know is real. The question is not if the problem is real, but if solving it now helps test the hypothesis.

4. Do It Manually Before You Automate It

If your team could perform a task by hand for a few pilot users, it does not need to be software yet. Manual operations behind a simple interface let you learn what the automation should really do.

The UK government's service manual makes a similar point for early prototypes, advising teams to build things that are just complex enough to let you test different ideas.

5. Defer Integrations and Configuration

Complex integrations and broad configurability are classic V3 features. Unless an integration is essential to the core value, start with manual import or a simple file upload. Solve one problem for one type of user in one way before making it configurable for many.

Every settings screen also multiplies testing, because each option creates another combination that has to work. Fewer options in the first version means fewer ways for it to fail in front of early users.

6. Prioritize Learning Over Polish

If a feature only makes the product nicer or more complete without adding to what you learn, defer it. Early users tolerate rough edges when the product solves a real problem for them. Polish can come once you know which parts of the product they actually use every day.

7. Design for Change, Not Completeness

Build a simple, solid foundation with clean boundaries that can grow, rather than trying to anticipate every future requirement. That is the approach in our founder's playbook, and it is how we approach MVP development, so the second and third versions are additions rather than rewrites.

When the cut list feels painful, our guide on deciding what to cut from your MVP scope walks through the trade-offs in more detail.

When a Bigger First Version Is Justified

Some scope cannot be cut, and we would not advise pretending otherwise. Regulated industries are the main example. Requirements such as data protection, audit trails or financial accuracy rules often apply from the first real user.

Even then, there is usually a minimum viable form of compliance. Work with legal and compliance experts to define exactly what the first release needs, and defer advanced reporting or optional controls. Our post on scoping an MVP in a complex domain covers what must stay in scope in regulated settings.

The test is simple. If skipping a requirement would cause legal, financial or safety harm, it belongs in the first version. If it would only make the product less complete, it can wait.

Build the Smallest Version That Proves the Core Hypothesis

MVP scope creep is the expert's trap, the belief that a first product must contain everything you know about the problem. We think the better path is to prove the core value with one journey for a few early users, then let real usage decide what the second and third versions contain.

If you want a second opinion on a scope document that keeps growing, Better Software agrees a scoped plan with an estimated timeline and budget before work begins.

Frequently Asked Questions

What Is the Biggest Risk of Building a V3 as a V1?

The biggest risk is spending time and money on features no real user has asked for. We see it delay market feedback, raise the chance of building the wrong product and make it harder to change direction, because a large codebase is slower and costlier to reshape.

How Can I Convince Stakeholders or Investors That a Smaller MVP Is Better?

We frame a smaller MVP as a tool for reducing risk. It reaches users sooner, tests the core hypothesis faster and costs less to change. Show stakeholders the out-of-scope list with a plan for each item, so they see ideas being sequenced rather than dropped.

Can Scope Creep Be Reversed?

Yes, though it gets harder the longer it runs. We reverse it by restating the core hypothesis, mapping the one journey that tests it and moving everything else to a later list. Features already half-built are usually better paused than finished.

Who Manages Scope Creep?

In an early company the founder owns scope, usually with the product manager or engineering lead. We suggest one person has final say on what enters the first release, with a written out-of-scope list that every new request is checked against.

What If I Absolutely Need a Complex Feature for Compliance?

Then it belongs in the first version, but only at the level the rules require. We work with legal and compliance experts to define the minimum the first release needs, and defer advanced reporting or optional controls until real usage justifies them.

About the author

Better Software

Better Software Team

Product and engineering team

Better Software Team is the product and engineering team at Better Software. We build new software products and improve existing applications and systems, with deeper experience in healthcare, finance and energy.