052-design-hamburger-method

Feature decomposition with the Hamburger Method involves identifying 3-6 functional layers, generating options per layer, and composing the smallest end-to-end vertical slice. This ensures each slice delivers observable value while remaining testable.

The Hamburger Method splits oversized stories into small, valuable vertical slices by identifying functional layers, generating implementation options, and filtering costly or redundant scopes. It ensures slices deliver observable value and remain testable.

Generate 4-5 implementation options per functional layer when splitting user stories. This balances simplicity and quality, allowing you to filter out costly or redundant options before composing the final vertical slice.

Use vertical slices when a large feature has unclear delivery and needs observable value quickly. Vertical slices ensure end-to-end functionality that is testable and deliverable, whereas horizontal layers delay value until the entire feature is complete.

Self-check criteria for vertical slice composition include value, size, testability, deliverability, and issue-tracking suitability. These ensure each slice is small enough to deliver yet valuable enough to justify implementation.

Yes, you need familiarity with the Hamburger Method and an understanding of your feature context. This knowledge helps you identify functional layers, generate options, and effectively challenge scope during vertical slice decomposition.