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# Agent Analytics

Agent Analytics is the dashboard for monitoring voice agent performance.

Use it to track whether calls are connecting, whether conversations progress, and to open any call when a metric looks wrong.

Open **Monitor → Agent Analytics**.

![Agent Analytics Overview with shared filters, KPI tiles, trend chart, and call outcomes.](https://fdr-prod-docs-files-public.s3.us-east-1.amazonaws.com/sarvam-api-docs.docs.buildwithfern.com/c9b6a7220d5acee4c2a9a904f83359f055e85b4486e191901de23af09fddbc88/voice-agents/images/agent-analytics-overview.png?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Credential=AKIA6KXJSKKNFOCF7G4B%2F20260730%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20260730T094500Z&X-Amz-Expires=604800&X-Amz-Signature=64aea57ebe1fc282d4dd65a0776bb77a4ccd53cb1b82a4841bd71cb1fba596b1&X-Amz-SignedHeaders=host&x-amz-checksum-mode=ENABLED&x-id=GetObject)

## The tabs

Agent Analytics is organized into tabs, each answering a different question about performance.

#### [Overview](/conversations/monitor/agent-analytics/overview)

Period health check: attempts, connect rate, latency, and short calls.

#### [Connectivity](/conversations/monitor/agent-analytics/connectivity)

Dial success, unique users, bot-number health, and failure reasons.

#### [Engagement](/conversations/monitor/agent-analytics/engagement)

Whether connected calls become real conversations (>3 turns).

#### [Tools](/conversations/monitor/agent-analytics/tools)

Custom-tool call volume, errors, and latency, with a per-tool breakdown.

#### [Goals](/conversations/monitor/agent-analytics/goals)

Goal achievement rate, and what separates achieved calls from the rest.

#### [Group by](/conversations/monitor/agent-analytics/group-by)

Break down metrics by campaign, agent, language, bot number, or variable.

#### [Call Logs](/conversations/monitor/agent-analytics/call-logs)

Find a call, open its transcript, and export the results to a spreadsheet.

For turn-level debugging, open a call from Call Logs and use [Log Analyser](/conversations/monitor/agent-analytics/log-analyser).

## Set your scope

The toolbar at the top sets the scope for every tab. Configure it once before reading the charts, as the settings apply across all of Agent Analytics.

#### Agents

Pick one agent, or leave **All Agents**.

#### Campaigns

Narrow to a campaign, or leave **All Campaigns**.

#### Date range

Choose the window. Time-of-day defaults span the full day.

#### Filters (optional)

Add field-level conditions such as equals, contains, and greater than. Available fields depend on your organization, and agent variables can appear here too.

#### # / % toggle

On Overview, Connectivity, and Engagement, switch rate tiles between count and percent.

## How to investigate

A typical investigation starts broad and narrows based on what the data shows. You do not need to open every tab for a routine check.

#### Start on Overview

Review attempts, picked-up rate, and short calls. If these look healthy, a routine check is complete.

#### Follow the failure mode

* Connects look weak → [Connectivity](/conversations/monitor/agent-analytics/connectivity)
* Connects look fine, but conversations are short → [Engagement](/conversations/monitor/agent-analytics/engagement)
* The aggregate looks fine, but one campaign, number, or language is off → [Group by](/conversations/monitor/agent-analytics/group-by)

#### Sample real calls

Open [Call Logs](/conversations/monitor/agent-analytics/call-logs) with the **same** agents, campaigns, and dates, then review a few examples before changing the agent.

#### Debug the turn

From Call Log Details, select the message that failed and open [Log Analyser](/conversations/monitor/agent-analytics/log-analyser) to inspect ASR, tools, and variables.

## Where to go next

#### [Boards](/conversations/monitor/boards)

Build a custom report when you need a metric Agent Analytics does not show.

#### [SQL best practices](/conversations/monitor/clickhouse-sql-best-practices)

SQL dialect guidance, schema browsing, and AI query generation.