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Outputs

Feedback

Collect quick judgments on outputs (thumbs, ratings, “not helpful”) so the product can improve and surface bad answers. Low friction beats a survey nobody finishes.

Interactive demo

AI draft

Human-in-the-loop keeps users in control when AI acts on their behalf. Pause before irreversible steps, show what will change, and make approve or edit obvious.

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Overview

How might we design feedback so people can trust and act on AI output?

When to use

  • Essential for all AI applications where collecting user feedback enables continuous improvement and better alignment with user needs and preferences.

When to skip

  • Internal one-off tools with no model or ranking pipeline to consume the signal.
  • High-stakes decisions where a thumb is too blunt and structured review is required.
  • Every micro-token during streaming; wait until the answer settles.

Rules

  • Feedback that vanishes with no confirmation or effect the user can observe.

  • Only thumbs down with no reason codes, leaving teams unable to triage.

  • Forcing a rating modal after every message.

  • Using feedback solely for marketing metrics while never feeding training or retrieval.

Evidence

ProductImplementation
ChatGPTThumbs and optional free-text feedback on assistant messages.
ClaudeMessage-level feedback controls on responses.
GeminiPositive/negative feedback and report flows on answers.
PerplexityFeedback on answer quality and wrong-source issues.

Real-world examples

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FAQ

What are feedback loops in AI product UX?

Feedback loops are UI controls that let users rate or flag AI outputs so the product can improve ranking, fine-tuning, or human review, and so users feel heard when something is wrong.

Should every AI message have thumbs up/down?

Usually yes for chat products that improve models or retrieval from feedback, as long as controls stay quiet and optional. Skip noisy forced ratings on high-frequency ephemeral UIs.

What should happen after a thumbs down?

Offer optional reason chips (wrong, unsafe, not useful) confirm receipt, and ideally a path to regenerate or refine. Silent collection without acknowledgment lowers trust.