# Chat Metrics

### Chat Metrics

**Chat Metrics** within the RagaAI Metric Library provide targeted insights into conversational performance—measuring how effectively your agents comply with instructions, engage users, and respond accurately in context.

Supported metrics include:

{% content-ref url="chat-metrics/agent-quality" %}
[agent-quality](https://docs.raga.ai/ragaai-catalyst/ragaai-metric-library/chat-metrics/agent-quality)
{% endcontent-ref %}

{% content-ref url="chat-metrics/instruction-adherence" %}
[instruction-adherence](https://docs.raga.ai/ragaai-catalyst/ragaai-metric-library/chat-metrics/instruction-adherence)
{% endcontent-ref %}

{% content-ref url="chat-metrics/user-chat-quality" %}
[user-chat-quality](https://docs.raga.ai/ragaai-catalyst/ragaai-metric-library/chat-metrics/user-chat-quality)
{% endcontent-ref %}

### Why Chat Metrics Matter

* Assess **response relevance and coherence** : crucial for user satisfaction in chat agents.
* Ensure **adherence to prompts and system instructions** : especially in regulated or brand-aligned workflows.
* Track **user-side clarity** to diagnose miscommunication risks.
* Support **iterative improvement** by emitting quantifiable scores for agent tuning and prompt refinement.