> ## Documentation Index > Fetch the complete documentation index at: https://docs.coval.ai/llms.txt > Use this file to discover all available pages before exploring further. # How to Review a Conversation > For reviewers: open your assignments, label each metric, apply triage labels, and move quickly. This page is for the people doing the reviewing. If you're setting up or managing a project, see [Human Review Projects](/concepts/metrics/human-review/human-review). ## Open your assignments Go to the **Human Review** page in the Coval dashboard. The **Assignments** tab lists every annotation assigned to you. Click one to open the review interface: the conversation transcript — with an audio player for voice calls — alongside the metrics to evaluate. ## Label each metric Read the transcript, listen to the audio where relevant, and give your ground-truth answer for each metric. How you answer depends on the metric type. ### Direct value metrics You give a single value for the whole conversation. * **Binary (Pass/Fail)** — select **Yes**, **No**, or **N/A**. Applies to binary LLM judge, audio binary judge, and agent-repeats-itself. * **Numerical** — enter a number within the configured min/max range. Applies to numerical and audio numerical judges. * **Categorical** — choose from a configured dropdown. Applies to categorical and audio categorical judges. * **Transcript sentiment** — pick a sentiment label (e.g. Rude, Polite, Encouraging, Professional). * **Composite evaluation** — assess each criterion with **MET / NOT\_MET / UNKNOWN**. ### Audio region metrics Mark or edit regions on the audio waveform timeline. These require an audio recording on the conversation, and cover interruption rate, latency, abrupt pitch changes, volume/pitch misalignment, non-expressive pauses, vocal fry, music detection, time to first audio, volume variance, custom pause analysis, and agent-needs-reprompting. ### Per-segment labeling Assign a label to each speaking segment — for **audio sentiment**, mark each segment as Neutral, Angry, Happy, or Sad. ### Per-message review Provide a value for each message — for **words per message**, the word count of each assistant message. Not all metrics support human review — only those with a defined annotation mechanism appear in the review interface. Review Interface ## Applying triage labels If your project has [triage labels configured](/concepts/metrics/human-review/human-review#set-up-a-project), apply the ones that fit each conversation. Triage labels are independent of your metric answers — they're your own categories (failure type, theme, severity, follow-up) for sorting and grouping conversations afterward. Tag a call with as many as apply as you go. ## Add notes Optionally add a note to explain a labeling decision. Notes can be placed anywhere in the review interface and are visible to project collaborators — when a project requires **disagreement notes**, this is where you record why you disagreed with the metric. ## Review fast with the keyboard The interface is built for speed. Navigate rows with `j` / `k`, open an assignment with `Enter`, move between neighboring conversations with `h` / `l` (or `a` / `d`, or the arrow keys), and back out of a surface with `b` or `Escape`. See the [Keyboard Navigation guide](/guides/keyboard-navigation) for the full model.