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Human feedback captures what automated metrics can’t — whether the agent’s response actually helped the user. You can collect it from internal reviewers using the ZeroEval dashboard, or from end users in your own application via the API.

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Dashboard Review

Reviewers can browse completions directly in the ZeroEval console and submit feedback without writing any code.
  1. Navigate to Prompts → [your task] in the dashboard
  2. Open the Suggestions tab to see incoming completions
  3. Review each output and provide thumbs-up or thumbs-down
  4. Optionally add a reason and the expected output
Dashboard feedback is linked to the exact prompt version and model that produced the completion, so you can track quality per version over time.

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In-App Feedback

Add like/dislike buttons, star ratings, or other feedback controls directly in your application. Use the SDK or REST API to send feedback tied to specific completions.

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Thumbs-up / Thumbs-down

import zeroeval as ze

ze.send_feedback(
    prompt_slug="support-bot",
    completion_id=response.id,
    thumbs_up=user_clicked_thumbs_up,
    reason="User found the answer helpful"
)

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With expected output

When a user corrects the agent, capture what the response should have been: 
ze.send_feedback(
    prompt_slug="support-bot",
    completion_id=response.id,
    thumbs_up=False,
    reason="Wrong link provided",
    expected_output="The password reset page is at https://app.example.com/reset"
)
Expected outputs are used during prompt optimization to generate better prompt variants. For collecting feedback from users who don’t have a ZeroEval account (e.g. customers, external reviewers), create a feedback link that anyone can use: 
curl -X POST https://api.zeroeval.com/feedback-links \
  -H "Authorization: Bearer $ZEROEVAL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt_slug": "support-bot",
    "link_type": "prompt_completion"
  }'
Share the returned URL with reviewers. They can submit feedback without needing API access or a ZeroEval account.