Requirements elicitation uncovers what a person actually needs before implementation begins. Questions can explore purpose, audience, constraints, priorities, risks, inputs, expected outputs, and how a successful result will be judged.
An AI assistant can make the process conversational by asking one focused question at a time and suggesting plausible answer choices. The user still owns the decisions, especially where different answers would materially change scope or cost.
Acronyms and aliases
requirements discovery synonym
Related terms
Frequently asked questions
Why not start building from the first idea?
Early clarification can reveal conflicting assumptions, missing users, weak business logic, and constraints that would otherwise force expensive rework.
How can suggested answers help requirements elicitation?
They reduce blank-page effort and show the kinds of decisions needed, while still allowing the user to reject or revise every option.
