How to Measure Voice-Agent Quality Beyond Call Completion
A guide to measuring voice agent quality from what every call leaves behind: the outcome code, whether and when a person took over, QA tags and scores for each step, and turn speed, with where each number lives in Dograh and a weekly routine.
Read the full guide →Deep Dives in This Series
The Ultimate Guide to Voice Agent Analytics: A Weekly Review
A weekly voice agent analytics routine: call volume, outcome mix, transfers, duration read beside the outcome, cost and a sample of flagged calls, with where each number lives in Dograh and how to build weekly numbers from daily reports.
How to Scale to Thousands of Simultaneous Calls With Voice Agents
Scaling a voice agent to thousands of simultaneous calls means raising a chain of limits in order: the platform and campaign limits, the carrier's calls per second, speech and model provider rate limits, and your servers, each proven with a load test.
Post-Call Analysis: Turning Transcripts Into Product Insight
How to go from voice agent calls to script and product changes: export outcome codes, extracted fields, QA tags and transcript links, count the patterns across calls, read the transcripts behind them and check each theme before acting.
Observability for Voice AI: Metrics That Predict Call Quality
Which signals to watch across many voice agent calls to spot bad ones early: latency per layer as median and slowest turn, interruptions, silence, provider errors and transfer-rate changes, and where each lands in Dograh.