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Clarifying question

A clarifying question is a follow-up question that resolves missing, uncertain, or ambiguous information needed to determine an appropriate response or action.

How 2 Manning books explain it

Lead Developer Career Guide

The practice of requesting information to clarify needs, resolve uncertainty, or obtain guidance.

How it is used
Uses questions to clarify client needs, unblock team work, and learn during unfamiliar assignments or shadowing.
How deep it goes
Gives practical questioning tactics and client prompts, but no formal interviewing procedure.
Examples
Uses unexplained workplace acronyms, a request listing three prior attempts, and questions for a dissatisfied client.
What you can do after
Practice/perform specific questions that surface misunderstandings and help others provide useful guidance.

Read how Lead Developer Career Guide explains clarifying question →

Coding with AI

A question asked to obtain missing information needed to specify a task, audience, tone, or constraint.

How it is used
Improves prompts by collecting audience, tone, format, tool, and constraint information before generation.
How deep it goes
Demonstrates question categories and places them within a sequential, iterative prompt-refinement process.
Examples
Uses an API-request prompt and asks about audience, tone, output format, tools, libraries, and constraints.
What you can do after
Apply it to gather missing context and produce more specific prompts for particular uses or AI models.

Read how Coding with AI explains clarifying question →

Related concepts

These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.