Blog & Insights
Metric-led writing on quality coverage, agent coaching, compliance monitoring, and the engineering behind Homayar's agentic voice analysis.
Average sentiment score is the metric everyone reports and almost no churn model is improved by. The predictive signal lives in specific, countable patterns of language — repeat-contact phrasing, effort language, hedged resolutions — that surface weeks before the cancellation call.
Daniel Mokri
April 28, 2026 · 4 min
Most compliance programs tax every call: scripted disclosures read robotically, manual checklists, post-call attestations that inflate handle time. Verification belongs in the analysis pipeline, not in the agent's working memory.
Maya Lindgren
April 2, 2026 · 3 min
Feedback like 'work on your empathy' is unactionable, contestable, and quietly demoralizing. When coaching points arrive with timestamps, exact phrases, and the agent's own trend line, the conversation changes from judgment to preparation.
Leila Farahani
March 5, 2026 · 4 min
A single model asked to score quality, detect issues, check compliance, and surface insights in one pass does each job at mediocre fidelity. Here is how Homayar splits call analysis across a team of specialized AI agents — and why that architecture is what makes the results auditable.
Omid Rastegar
February 10, 2026 · 4 min
Most quality programs review one to two percent of calls and treat the result as the truth about the other ninety-eight. The math behind sampling explains why the issues you most need to find are the ones a sampled program is least likely to see.
Sara Naderi
January 15, 2026 · 4 min
