QA

The QA node lets you define quality analysis criteria that are automatically evaluated after each call ends. Use it to score agent performance, check compliance, or extract structured insights from conversations.

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Creating a QA Node

You can add a QA node to your workflow from the Voice Agent Builder. Once added, configure the analysis criteria that you want to evaluate for each call.

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Choosing the QA model

Leave Use Workflow’s LLM enabled to use the LLM settings from the workflow version that handled the call, including its model override. To use a separate model, turn the option off. The provider and model fields use the same catalog as AI connections, so catalog updates appear in both places. Select a saved Credential, or use Create credential to register a named credential. API keys are hidden as you type or paste them. AWS uses its named access-key credentials, while Custom Models lets you enter your own model ID and endpoint. For direct Claude access, select Anthropic, choose a model, and select or create a named Anthropic credential. The Claude configuration guide explains response limits and thinking settings. QA usage includes Claude analysis and summary requests. Existing QA API keys remain available as Current saved credential. Select a credential from the same workspace.

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Editing the QA system prompt

Use Copy beside System Prompt to copy the instructions. Expand opens a larger editor with its own copy control. Closing that editor keeps your changes in the draft; select Save draft to persist them.

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Viewing QA Results

After a call completes, the QA analysis runs automatically. You can view the results on the Run Detail page for each individual run.