A requirement describes the capability or condition a project must satisfy; a suggested solution describes one way to satisfy it. Record both, ask what task the solution supports and define how an acceptable result would be recognized. Keep genuine constraints visible and compare options against the same requirement.
Translate the request into a task
Begin by recording the requested solution faithfully. A client who asks for a dashboard may have a strong reason for that choice. Ask who would use it, what decision they would make and what information they lack today. The aim is to understand the proposal rather than replace it with your own preference. Keep their original wording alongside the emerging requirement so the discussion remains traceable.
A useful requirement might say that a coordinator needs to identify unassigned enquiries before the daily allocation meeting. That describes a task without requiring a particular interface. A dashboard, a filtered list or a daily report might support it. Avoid empty formulations such as “a modern user experience,” which remain difficult to assess even after you remove the name of the requested tool.
Identify conditions that are genuinely fixed
Some proposed solutions are tied to real constraints. An existing accessibility requirement, a contractual integration or a mandated records system may limit alternatives. Ask who established the condition, where it is documented and whether it applies to this part of the project. A preference repeated confidently is still different from a condition the client has authority and evidence to impose.
Write each constraint with its practical effect. For example, staff may need to work within an approved platform because a separate procurement process would exceed the available schedule. That does not prove the platform is ideal; it describes the decision environment. Keep uncertain constraints marked for confirmation. Do not offer a replacement that ignores permission, migration, support or the people who must use it.
Compare options using observable acceptance
Define what someone should be able to do when the requirement is met. Specify relevant input, expected output and an appropriate test situation. For an allocation task, a coordinator could review a safe sample and identify items missing an owner. Avoid turning an interface preference into the acceptance criterion unless that interface is itself a documented requirement. The test should help assess usefulness, not merely confirm that a chosen screen exists.
Put the original suggestion and any alternatives through the same questions about effort, dependencies and limitations. Explain why a smaller option might be worth exploring, while acknowledging what it cannot do. Record the chosen approach and why it was selected. If the evidence is insufficient, the decision can be to test an option rather than commit immediately to a full implementation or replacement.
For each candidate approach, write one reason it could satisfy the requirement and one unresolved question. A daily report may support the coordinator’s task but fail when assignments change during the meeting. A live list may address that timing issue but depend on accurate updates. These tradeoffs keep comparison grounded in actual use rather than the visual appeal of a feature.
Fictional example: a booking chatbot request
In this fictional case, a workshop facilitator is asked to specify a chatbot for booking questions. A conversation reveals that visitors mainly need to know whether a session includes practice time and whether recordings are available. The facilitator records those information needs separately from the chatbot proposal. She also notes a fixed condition: the organization will keep its existing booking provider during the next quarter.
The options are a clearer session page, a short question section or a conversational interface that uses approved answers. A test would ask someone to locate the practice and recording details using representative session information. The client chooses to review the page content first, while keeping the chatbot idea as a later option. No integration, user test or booking improvement is claimed; the example shows how requirements can guide a bounded decision.
A checklist for your next step
- Preserve the requested solution.
- Name the supported task.
- Confirm fixed constraints.
- Define observable acceptance.
- Record why an option was chosen.
Common questions
Is every feature request merely a suggestion?
No. A feature may be a documented contractual or operational requirement. Confirm its basis before treating it as optional.
Can a requirement include a particular technology?
Yes, when that technology is genuinely necessary and the reason is recorded. Explain the constraint instead of assuming it is self-evident.
Further reading
These primary resources provide related background. They do not validate the illustrative example or endorse AliveProfile.
AI-assisted drafting and automated technical checks. Examples are illustrative; no independent expert review or real-world outcome validation is claimed. Read our editorial policy.