> ## Documentation Index > Fetch the complete documentation index at: https://docs-classic.cognigy.com/llms.txt > Use this file to discover all available pages before exploring further. # Conversation Analyzer > Learn how Conversation Analyzer automatically scores your AI Agent's conversations based on configurable criteria across Topic Discovery, Basic Analysis, and Custom Evaluation dashboards. [Updated in 2026.23 (beta)](https://docs-classic.cognigy.com/release-notes/2026.23.md) > [!NOTE] > > This feature is in beta. We encourage you to try it out and provide us with feedback. *Conversation Analyzer* is a quality evaluation tool in Cognigy Insights that automatically scores your AI Agent's conversations based on predefined and custom criteria. Instead of reviewing [conversation transcripts](https://docs-classic.cognigy.com/insights/explorers/conversations.md) manually, you define an evaluation topic and a set of metrics, and the analyzer processes your conversations and surfaces results across dashboards. ## When to Use it * Understand what topics your AI Agent handles most frequently and how that changes over time. * Measure whether your AI Agent is resolving issues, following instructions, and communicating with quality. * Define custom evaluation criteria specific to your business, compliance requirements, or product domain. * Replace manual QA spot-checks with consistent, automated scoring at scale. ## Key Benefits * **Reduce manual QA effort**. Define criteria once and the analyzer scores conversations automatically at scale, replacing time-consuming manual transcript reviews. * **Catch issues earlier**. Scheduled runs surface declining sentiment trends, rising escalation risk, or drops in instruction-following before they become visible in support volumes. * **Consistent evaluation**. Unlike manual reviews, the analyzer applies the same criteria to every conversation and every run, helping reduce reviewer bias and inconsistency. * **Identify coverage gaps**. Find topics your AI Agent doesn't cover and expand its scope accordingly. ## Prerequisites > [accordion] Set Up your Model > > Conversation Analyzer uses a large language model to evaluate conversations. Before running your first analysis, configure which model to use in your Project settings. > > > [!TIP] > > > > Reasoning models can provide more accurate results, but they typically come with higher costs and longer processing times. For brief analyses, non-reasoning models may be sufficient. > > 1. In Cognigy, open your Project. > 2. Go to **Manage > Settings > Generative AI Settings**. > 3. Under **Conversation Analyzer**, select a model from the list. Save changes. > > If you don't select a model, the default model is used. ## Restrictions * Conversation Analyzer doesn't support the following models: * Anthropic — `claude-sonnet-4-5`, `claude-sonnet-5`, `claude-opus-4-7`, `claude-opus-4-8`, `claude-opus-5` * Google GenAI — `gemini-3.6-flash`, `gemini-3.7-flash`, `gemini-3.8-flash` * AWS Bedrock — `custom - anthropic.claude-sonnet-4-6`, `amazon.nova-pro-v1:0`, `amazon.nova-2-lite-v1:0` ## Working with Conversation Analyzer > [accordion] 1. Configure Evaluation Settings > > In the left-side menu of the Insights interface, go to **Configuration** and set up the evaluation topic, schedule, and criteria: > > * [Topic Discovery](https://docs-classic.cognigy.com/insights/conversation-analyzer/topic-discovery.md#configuration) — select an evaluation topic that reflects the main subject area of your AI Agent's conversations. > * [Basic Analysis](https://docs-classic.cognigy.com/insights/conversation-analyzer/basic-analysis.md#configuration) — activate or deactivate criteria sets in Basic Analysis based on what you want to measure. > * [Custom Evaluation](https://docs-classic.cognigy.com/insights/conversation-analyzer/custom-evaluation.md#configuration) — define custom evaluation criteria specific to your business needs. > [accordion] 2. Run Analysis > > You can run analysis on conversations in the following ways: > > > [tab] On a Schedule > > > > To schedule an analysis, follow these steps: > > > > 1. In the left-side menu of the Insights interface, go to **Configuration**. > > 2. In the **Topic & Scheduler** section, go to **Analysis Scheduler**. > > 3. By default, the scheduler is off. Select how often you want the analysis to run: > > * **Daily** — runs once a day, analyzing conversations from the previous 24 hours. > > * **Weekly** — runs once a week, analyzing conversations from the previous 7 days. > > Each run includes only conversations that haven't yet been analyzed. The time window is calculated from when the scheduled run executes, not from when you save the scheduler settings. > > 4. In the **Filter only Analyze Transcripts Matching** section, configure which conversations to include: > > * **Endpoint** — limit analysis to a specific Endpoint. > > * **Snapshot** — limit to a specific Snapshot. > > * **Channel** — limit to a specific channel. > > 5. Save changes. > > > > The **Analysis Scheduler** section shows when the next run is scheduled. For example, `Next run: May 15, 2026, 2:00 AM`. > > > [tab] Manually > > > > To run an analysis manually, follow these steps: > > > > 1. In the left-side menu of the Insights interface, go to **Conversations**. > > 2. In the filter bar, select the scope of your analysis. You can filter by time span, Endpoint, and more. > > 3. Click **Run Analysis**. Select one of the following options: > > > > | Option | Description | > > | - | - | > > | **Reanalyze all** | Analyzes all conversations, including those already analyzed. Overwrites previous LLM analysis results. | > > | **Skip already analyzed** | Analyzes only conversations that haven't been analyzed yet. Adds new data to the dashboards without overwriting existing results. | > > > > The **Analyzing conversations** progress bar appears at the top of the Conversations page. > > 4\. When the analysis is complete, click **View Analysis** in the upper-right corner. The **Analysis** page opens. > [accordion] 3. Check Results > > You can check the results for: > > > [tab] All Conversations > > > > In the left-side menu of the Insights interface, go to **Analysis** to view topics, performance metrics, and evaluation results. > > > [tab] A Specific Conversation > > > > In the left-side menu of the Insights interface, go to **Conversations**. Select the entry from the table you want to review, then click **>** to open **Evaluation Details**. This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.