Solution

MVP Planning for Solo Developers

Your 'MVP' has 20 features, 3 months of work, and doesn't feel very 'minimum.' Without a framework for cutting scope, every feature feels essential.

FoundStep's AI MVP Planner generates a focused 5-8 feature MVP with effort estimates, dependency mapping, and a 'What We Cut' tab. Then locks it so it stays minimal.

The MVP problem for solo developers

The concept of an MVP is simple: build the smallest thing that works. In practice, it's almost impossible to execute alone.

When you're the only person deciding what's "minimum," everything feels essential. That login system? Essential. Dark mode? Users expect it. That API integration? It'll only take a day. Before you know it, your "minimum" product has 20 features and 3 months of work.

Why solo developers over-scope MVPs

Three reasons:

  1. No one to say no - every feature idea gets approved because you're approving it yourself
  2. Fear of launching too small - "what if users think it's not enough?"
  3. Builder's bias - you enjoy building, so adding features feels productive even when it's not

The result is the same every time: a project that's too big to finish, too incomplete to launch, and eventually abandoned.

How FoundStep fixes MVP planning

AI-powered feature generation

Instead of staring at a blank page, describe your idea and let the AI MVP Planner generate a focused feature set. It's trained to suggest 5-8 core features - enough to be useful, few enough to be shippable.

Effort estimates included

Each feature comes with subtasks and effort estimates (S/M/L). Before you commit to building, you can see roughly how much work each feature requires.

The "What We Cut" tab

This is the most important part. The planner explicitly shows what was left out of v1 and why. This reframes cutting scope as a strategic decision, not a failure.

Locked after planning

Once you accept a plan, it feeds directly into FoundStep's Scope Locking. Your MVP features are now enforced - not just planned. The gap between "plan" and "execution" closes because the system prevents you from expanding scope silently.

5 generations, then build

You get 5 AI plan generations per workspace. This limit is intentional. It prevents the trap of endless re-planning - generating plan after plan while avoiding the actual work of building. Pick a plan, refine it, lock it, build it.

How It Works

Step by step.

01
Describe your idea

Tell the AI what you're building. It analyzes your concept and generates a focused feature set for v1.

02
Review 5-8 features

The planner suggests 5-8 core features with subtasks and effort estimates (S/M/L). Each feature is scoped to be buildable.

03
See what was cut

The 'What We Cut' tab shows features intentionally excluded from v1, with 'After V1' suggestions for future versions.

04
Lock and build

Accept the plan, lock your scope, and start building. The locked scope ensures your MVP stays minimal.

Comparison

Without vs. with FoundStep.

Aspect
Without
FoundStep
Feature count
Unlimited - grows until it's not an MVP anymore
Capped at 5-8 focused features per version
Effort estimation
Guesswork or no estimates at all
AI-generated S/M/L effort estimates per feature
What to cut
Everything feels essential, nothing gets cut
'What We Cut' tab makes exclusions explicit
Scope after planning
Plan is a suggestion, scope keeps growing
Plan locks into Scope Locking - enforced, not suggested
FAQ

Common questions.

A Minimum Viable Product (MVP) is the smallest version of your product that solves the core problem and can be shipped to users. The key word is 'minimum' - it should have just enough features to validate your idea, not every feature you can imagine.
You describe your idea, and the AI generates a focused feature set of 5-8 features with subtasks, effort estimates (Small/Medium/Large), and dependency mapping. It also creates a 'What We Cut' tab showing features intentionally excluded from v1.
Research and experience show that side projects with more than 8 features rarely ship. The cap forces focus - you have to decide what's truly essential for v1. Everything else goes to 'After V1.'
Yes. The AI plan is a starting point. You can add, remove, or modify features. But once you finalize and lock scope, those decisions are enforced.
You get 5 AI generations per workspace. This is intentional - it prevents endless re-planning. Pick a plan, refine it, lock it, and build.
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MVP Planning Tool - Plan Your Minimum Viable Product | FoundStep | FoundStep