Human Review Queue

Review AI outputs that need human judgment with source context, confidence, reason for escalation, decision history, and clear approve/edit/reject actions. This example brings Queue and High risk together so AI product teams can find the next task without losing context.

It includes representative records such as Refund eligibility response and Medical advice escalation. Use the screenshot to study the layout, then adapt its components and product states to your own design system.

Human Review Queue

Template facts

Screen

Inbox

Primary action

Review next

Pattern

Inbox

State

Default, loading, empty, error, permission, success

Design system

Configurable product UI theme

What this screen helps users do

Product teams need to review next while keeping waiting, high risk and exceptions visible. The interface should show what changed and who should act next.

Key elements

  • Main workspace: Queue gives users an obvious place to start.
  • Supporting view: High risk keeps the related context close.
  • Primary action: Review next stays visible when people need it.
  • First signal: Waiting shows a useful value (46).
  • Second signal: High risk gives additional context (7).
  • Sample record: Refund eligibility response.
  • Next record: Medical advice escalation.

States worth designing

  • No items match the selected filter: say what changed, protect progress, and offer a clear next step.
  • Message or task loading: say what changed, protect progress, and offer a clear next step.
  • Reply or assignment failed: say what changed, protect progress, and offer a clear next step.
  • Item resolved: say what changed, protect progress, and offer a clear next step.
  • Escalation required: say what changed, protect progress, and offer a clear next step.
  • Permission to read restricted content missing: say what changed, protect progress, and offer a clear next step.

Where this screen sits in the flow

Queue → High risk → Review next → Review outcome

Patterns used

Inbox, Queue, High risk, contextual actions, error recovery

Why these choices work

Keep the current item close to its history, owner and urgency. Put the next action on the record rather than making people open several panels.

Pay attention to queue and high risk. People need to distinguish Refund eligibility response from Medical advice escalation. Keep waiting visible, especially when a record changes owner or status.

Before this screen reaches handoff, verify keyboard focus, empty and permission states, and what happens after someone chooses “Review next”. Make error recovery as clear as the happy path.

Related screen examples to explore next: Evaluation Dataset, AI Safety Review, Prompt Versioning.

Start from this in Figr

Design a human review queue screen inside our existing product. Use our current components, tokens and content language. Include Queue and High risk views, credible records like Refund eligibility response, and a clear “Review next” action. Use our product permissions and show loading, empty, error and success states. Keep the output editable in Figma.

Open Figr