Evaluate Your AI Agent Performance – Success Metrics & Post-Call Analysis in ElevenLabs

Measure how well your conversational AI performs. This video covers Success Evaluation — defining metrics like resolution rate or customer satisfaction and automatically analyzing transcripts after each call. Learn to build evaluation rules, log outcomes, and continuously improve your agents based on real data. Chapters: 00:00 – Introduction & concept of evaluation criteria. 00:25 – Setting success/failure metrics for calls. 00:55 – Using transcripts for post-call analysis. 01:30 – Customer satisfaction as a quantitative signal. 02:05 – Adding evaluation rules in the dashboard. 02:40 – Automating reports and quality checks. 03:10 – Interpreting scores & improving models. 03:45 – Next steps: data collection and webhook automation. Watch the rest of the series: - Build your first agent → https://youtu.be/fnivYSh0Cqk - Twilio telephony integration → https://youtu.be/1_ebl-acp6M - Embed the widget → https://youtu.be/XweA70b45Ws - React SDK customization → https://youtu.be/ftf-8F91bAc - Server tools (webhooks) → https://youtu.be/pB33QxKN8P8 - Security & authentication → https://youtu.be/8hZ4IWL7iqw - MCP integration → https://youtu.be/m1HgNvafID8 - Success evaluation → https://youtu.be/hvuuRpvAlV0 - Data collection → https://youtu.be/v6_oVI0xy00 - Post-call webhook → https://youtu.be/rqxEz18SS_k #AIagents #VoiceAI #ElevenLabs #Automation #AItools