Answer.

Background: In the early stages of a project, the client often formulates vague or contradictory requirements that the analyst must turn into clear and verifiable components for subsequent implementation.

The Problem: Vague requirements lead to misalignment in understanding between the business and the development team, increasing the number of task returns, bugs, and dissatisfied users.

Solution:

• Conducting workshops and clarification sessions: the analyst facilitates a meeting with the client, using clarification techniques (Example Mapping, Event Storming, Story Mapping).
• Using prototypes and wireframes: visual modeling helps the business express expectations more accurately.
• Incremental clarification to the Definition of Ready criteria: breaking tasks down, formalizing scenarios, collecting edge cases.

Key Features:

• Incremental clarification is a continuous process involving cycles of questions and quick checks (feedback loop).
• Involving multiple participants to consider different perspectives.
• The analyst records options and limitations, even alongside "raw" requirements.

Tricky Questions.

"Can we rely solely on the client's words when gathering vague requirements?"

No, it is important to use examples, diagrams, mockups, and ask additional questions to uncover true needs.

"Is it enough to agree on requirement clarifications just once?"

No, agreement is an iterative process: as details emerge, requirements need to be re-validated.

"Can requirements always be clarified without involving end-users?"

No, the involvement of real users is sometimes critical for identifying edge cases and usage scenarios that are not obvious to either the business or IT.

Common Mistakes and Anti-Patterns

• Attempting to implement vague requirements without formalization.
• Ignoring clarification sessions.
• Documenting requirements only in text, without visualization and examples.

Real-Life Example

Negative Case: The client asked for a "convenient search mechanism" — it was recorded, and they began implementing it as "usual".

Pros:

• Quick start of the task.

Cons:

• The result did not satisfy the user; a different search and filtering were required.

Positive Case: With a similar task, the analyst held a workshop, gathered user scenarios, and created prototypes.

Pros:

• The implementation matched business expectations by 90%.

Cons:

• More time was spent on agreement and clarification.