> ## Documentation Index
> Fetch the complete documentation index at: https://arizeai-433a7140-claude-graphql-project-auth-check-eta8st.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Metrics Dashboard

> Each project comes with a pre-defined metrics dashboard

<Frame>
  <video src="https://storage.googleapis.com/arize-phoenix-assets/assets/videos/project_metrics_overview.mp4" width="100%" height="100%" style={{ display: 'block', objectFit: 'fill', backgroundColor: 'transparent' }} controls autoPlay muted loop />
</Frame>

Traces that are sent to a project are automatically indexed for metrics. This lets you quickly identify areas of poor performance. The project metrics dashboard includes:

* Trace latency and errors
* Latency Quantiles
* Annotation Scores Timeseries
* Cost over Time by token type
* Top Models by Cost
* Token Usage by token type
* Top Models by Tokens
* LLM Invocation and Errors
* Tool calls and Errors

<Info>
  For custom alerting and dashboards on top of your trace data, including metrics tailored for non-developer stakeholders, see [Arize AX's Dashboard features](https://arize.com/docs/ax/observe/dashboards).
</Info>

## Next Steps

<CardGroup cols={3}>
  <Card title="Setup Projects" icon="folder" href="/docs/phoenix/tracing/how-to-tracing/setup-tracing/setup-projects">
    Organize traces into separate projects
  </Card>

  <Card title="Cost Tracking" icon="dollar-sign" href="/docs/phoenix/tracing/how-to-tracing/cost-tracking">
    Monitor token usage and LLM costs
  </Card>

  <Card title="Log Annotations" icon="code" href="/docs/phoenix/tracing/how-to-tracing/feedback-and-annotations/capture-feedback">
    Add scores, labels, and LLM evals to your traces
  </Card>
</CardGroup>