Post Analysis
After a conversation between a caller and an agent concludes, you may want to perform additional analysis or automation. Pranthora provides flexible post-analysis options to help you extract insights, summarize content, or trigger follow-up actions automatically. 📊🧩 Overview
Post-analysis allows you to process call transcripts and metadata after a call ends. You can configure different modes depending on the kind of analysis or action you want to perform. Currently, there are three post-analysis options available:📝 1. Call Summary
The Call Summary section enables automatic summarization of the entire conversation.- Define a prompt that guides the system to generate a concise and informative summary.
- You can customize this to focus on important details — such as key discussion points, outcomes, or next steps.
💡 Example: “Summarize the conversation focusing on customer issues, agent responses, and resolution steps.”
📊 2. Structured Output
In the Structured Output section, you can define a prompt to generate structured data from the conversation.- Useful for reporting, analytics, or automation workflows.
- The generated structured data can be easily parsed or used to call other APIs.
💡 Example: Extract key entities likeintent,sentiment, andnext_actionin JSON format.
🔗 3. Integration Trigger
The third option allows you to trigger an integration automatically after a call ends.- Use this to call an external HTTP API with post-analysis data.
- Perfect for automating workflows like CRM updates, sending follow-up messages, or logging summaries in external systems.
⚙️ This option leverages the Integrations feature to send structured call data to any connected service.