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Acceptance criteria

As explained in Prompt Engineering in Practice

Defined conditions that a result must satisfy to be considered acceptable.

Acceptance criteria state what counts as a good or correct result. In a prompt specification, they let both the user and the model judge the response; they should be testable. Keep them distinct from constraints, which limit the output’s format or scope. section 1.6.1

Feature proposal analysis

A specified analysis prompt asks for technical feasibility, user effect, and implementation risk, then requires a recommendation and confidence level. These requirements make the expected result more assessable than an open-ended request for an opinion. section 1.6.1

How Prompt Engineering in Practice covers it

How deep it goes
Frames criteria as testable review questions without detailing a scoring procedure.
Examples
Uses a feature-proposal analysis prompt with specified dimensions, recommendation, and confidence level.
What you can do after
Evaluate whether prompt criteria make good results distinguishable and testable.
How it connects
Links acceptance criteria to software specifications and prompt design.

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This explainer was generated by Manning's knowledge graph from the text of Prompt Engineering in Practice. The section links point to the parts of the book it draws on.