05. MVP Feature Selection

Feature selection determines what you ship in your first release. The goal is the smallest useful product—the version that solves the core problem even if it lacks polish, convenience, and nice-to-have features. This chapter provides a framework for making these decisions systematically.

Defining the MVP

An MVP is not a prototype, not a beta, and not a minimal product. It is the smallest product that delivers value to users. It must be complete enough to solve the target problem, not just demonstrate technical capability.

For local AI products, MVPs typically include:

• Core functionality that demonstrates the value proposition
• Minimal interface that allows users to accomplish the main task
• Error handling that prevents crashes and provides useful feedback
• Basic documentation that explains installation and usage

MVPs explicitly exclude polish, advanced features, optimization, and thorough error handling. These come later after validation.

Feature Prioritization Matrix

Evaluate each proposed feature against two dimensions: user value (how much does this help users accomplish their goal?) and implementation cost (how much time and complexity does this add?). Features in the high-value, low-cost quadrant ship first. High-cost, high-value features need careful justification. Low-value features regardless of cost get deferred.

Create a simple matrix with your top 10 features positioned accordingly. If more than 5 features land in the high-value quadrant, you have too many features for an MVP. Narrow scope further.

Making Hard Choices

Feature selection requires saying no. You will encounter good ideas, useful features, and reasonable requests that do not fit your timeline or scope. Develop comfort with deferring things you would enjoy building.

When tempted to add a feature, ask: "If this were the only new feature, would the product still be valuable?" If yes, the feature might belong in the MVP. If no, it belongs in a future version.

Document your feature decisions in a release plan that clearly states what is included and excluded. This prevents scope creep and creates accountability for decisions made.

Validation Checkpoints

Before implementing, verify your feature selection against research findings. Do the features you selected directly address the problems users described? Are there any features users mentioned that you excluded? If so, document why you excluded them and what would need to change to include them later.

This checkpoint catches cases where feature selection drifted from user needs into technical interests.

Trimming the Scope

Start with your most ambitious feature set and cut ruthlessly. Remove features one at a time, asking whether the product still solves the core problem without it. When you cannot remove another feature without breaking the value proposition, you have found your MVP scope.

Be realistic about what you can complete. If your initial plan requires 40 hours and you have 20, you need to halve scope or fail to ship.