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Feature-Based Product Planning

Reusability

A product planning approach that breaks down products into discrete, testable features rather than describing abstract product concepts

How It Works

Instead of telling AI 'build a car', you specify 'build steering wheel, build engine, build wheels' - each feature can be built independently and tested before moving to the next

Components

1

Identify core product functionality

2

Break down into 4-6 discrete features

3

Define success criteria for each feature

4

Build features sequentially with tests

5

Validate each feature before proceeding

When to Use

When planning any software product with AI agents, especially complex applications with multiple components

When Not to Use

For very simple single-feature tools or when doing rapid prototyping that doesn't need production quality

Anti-Patterns to Avoid

Describing product concepts instead of featuresBuilding all features simultaneouslySkipping testing between featuresMaking features too granular or too broad

Example

For a TikTok UGC generation app: Feature 1 - Script generation interface, Feature 2 - Avatar selection system, Feature 3 - Video rendering engine, Feature 4 - Export and storage functionality