Agent Performance
How AI Helps Identify Top-Performing Sales Agents
Compare human sales agents using call evidence, relevant cohorts and business outcomes. Account for lead quality, uncertainty and limits of automated rankings.
Agent Performance
Practical human-agent coaching, reviewed feedback and fair comparisons across sales and support workflows.
Practical coaching for human agents, built on reviewed call evidence rather than impressions. These articles cover turning evaluation findings into training, comparing agents fairly across different call mixes, and what to expect from real-time coaching tools.
They are written for team leads and QA managers who own coaching. Begin with the piece on turning call findings into better practice.
- Start here: AI-Powered Coaching: Turn Call Findings Into Better Practice →
- Call quality for human and AI calls →
Agent Performance
AI-Powered Agent Training From Call Evaluations
Build a weekly human-agent training loop from verified call findings, focused practice and follow-up reviews. Keep AI-caller changes on a separate release path.
Agent Performance
Real-Time AI Coaching for Call Agents: A Buyer's Guide
Evaluate live coaching prompts for human call agents: useful scenarios, latency, distraction, evidence quality and differences from AI calling and post-call QA.
Agent Performance
AI-Powered Coaching: Turn Call Findings Into Better Practice
Turn call QA findings into specific coaching tasks, reviewed examples and follow-up checks. Separate human training from controlled AI-agent changes.