Agile requirements
Key aspects
Agile requirements are characterized by these fundamental aspects:
- Flexibility: they are open to change, even at advanced stages of development. The second principle of the Agile Manifesto states that changing requirements are welcome, even late in development.
- Collaboration: they require close collaboration between the development team and the stakeholders, which makes it possible to adjust requirements based on feedback and changing needs.
- Iterative development: they are developed and refined through iterative cycles, with frequent reviews and adaptations based on what has been learned in each iteration.
- Prioritization: they are prioritized regularly so that the team focuses on the most valuable or critical features at any given time.
- Visibility: they are visible to the whole team, often through tools such as kanban boards or the Product Backlog itself, to ensure transparency and shared understanding.
- Adaptability: requirements can be modified, added, or discarded in response to new information or changes in the project environment.
Size levels
Agile project management handles requirements at four size levels, from largest to smallest:
- Theme. A collection of related epics that together describe an entire system or subsystem. It is the highest level of abstraction: too large to estimate directly, it serves as a strategic grouping.
- Epic. A user story that, because of its large size, the team breaks down into stories of a more suitable size to be managed within a sprint. It cannot go directly into the Sprint Backlog: it must be split first.
- User story. The main work item of the sprint. It expresses a user need in a format that everyone involved can understand: the team, the Product Owner, and the stakeholders. It must meet the INVEST criteria: Independent, Negotiable, Valuable, Estimable, Small, and Testable.
- Task. The technical breakdown of a user story into smaller work items. Tasks are managed by the developers during the sprint and usually take no more than one working day.
Agile Requirements with AI
Generative AI is changing the way requirements are captured and written:
- AI tools can help generate drafts of user stories or acceptance criteria from a high-level description. However, AI-generated requirements reflect the model's implicit assumptions, which may not match the user's actual context.
- In teams that adopt SDD (Spec-Driven Development), the requirement evolves into the spec: a more technical document that guides automatic code generation. The user story remains the vehicle for communicating with the business; the spec is the vehicle for communicating with the AI.
Common mistake
Writing requirements too late or too early. The right moment to refine and detail a requirement is just before it enters the sprint, not at the start of the project. Detailing all requirements up front produces documentation that will inevitably become outdated. Detailing them too late (during the sprint itself) creates scope uncertainty and conversations that interrupt the workflow.
Resources
🏦 Skill User storiesState of the art and development guide · Skill Arena
See also
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