Performance management built on complete data — not a 3% sample
Call Coach IQ is AI-powered agent performance management software for contact centers. Score every call, surface coaching opportunities automatically, track individual progress over time, and give managers the data they need to develop agents consistently — at any team size.
100%
call coverage — every interaction scored
2×
more coaching delivered per manager per month
35%
reduction in agent attrition with structured coaching
90 days
typical time to measurable QA score improvement
The problem with most agent performance management today
Most contact centers manage agent performance using a combination of AHT reports, supervisor observation, and manually reviewed QA samples covering 3–5% of calls. The result: managers are making development decisions based on incomplete data, agents receive feedback on a tiny fraction of their work, and performance issues go undetected until they surface as CSAT drops or attrition.
Agent performance management software should close this gap — giving managers a complete, data-backed view of every agent's performance, not just the calls they happened to review.
Incomplete data
Performance decisions based on 3% of calls
Reactive coaching
Feedback only after complaints or QA audits
No progress tracking
No visibility into whether coaching is working
Platform features
Per-agent performance dashboards
Every agent has their own performance view — QA score trends, criterion-level breakdowns, coaching history, and progress toward targets. Managers see the same data at the team level, with the ability to drill down to individual calls.
AI-scored calls on every interaction
Performance data is only useful if it covers the actual performance — not a small sample. Call Coach IQ scores every call so agent profiles reflect real patterns across hundreds of interactions, not 3–5 reviewed calls per month.
Coaching automatically triggered at thresholds
Define the score threshold for each criterion that triggers coaching feedback. When an agent drops below it, they receive targeted guidance — with the specific call clip and improvement language — automatically, without manager intervention.
Coaching theme detection across the team
AI identifies recurring improvement themes at the individual and team level. If seven agents on the same team show declining empathy scores, that surfaces as a team-level coaching need — not seven individual problems.
Peer benchmarking and percentile ranking
Agents can see how their scores compare to team averages and top performers — by criterion, not just overall. Benchmarking creates healthy competitive context and helps agents understand what "good" looks like in concrete terms.
Score dispute and review workflow
Agents can flag any AI score for manager review with a note. Managers review the disputed call, confirm or adjust the score, and document the outcome. The process is structured, auditable, and builds agent trust in the system.
Performance management across the agent lifecycle
Agent performance needs look different at each stage. Call Coach IQ is designed to support the full lifecycle — from onboarding through experienced performer development.
Baseline establishment and habit formation
Score every call from day one. Identify which new agents need intervention before bad habits solidify. Set QA milestones at Day 30, 60, and 90 with automated tracking.
Targeted skill building and consistent improvement
Auto-trigger coaching on specific underperforming criteria. Track whether coaching sessions produce measurable behavioral change on the next 20 calls after each session.
Objective performance documentation
Provide managers with AI-scored call data to support PIPs, performance conversations, and employment decisions — reducing subjectivity and legal exposure.
Retention and growth
Identify the specific behaviors that distinguish top performers. Use their calls as coaching material for the rest of the team. Give top performers visibility into their own excellence.
Questions buyers typically ask
How is this different from our existing WFM or WFO platform?
Most workforce management and workforce optimization platforms include QA modules that rely on manual call sampling — typically 3–5% of calls. Call Coach IQ uses AI to score 100% of calls automatically, delivers coaching without manager prep time, and tracks post-coaching behavioral change. It complements or replaces the QA/coaching component of legacy WFO suites without requiring a full platform swap.
Can agents see their own performance data?
Yes. Agents have their own dashboard showing their QA score trends, criterion-level performance, coaching history, and how they compare to team benchmarks. Transparency in performance data improves agent engagement and reduces the "gotcha" feeling that undermines coaching effectiveness.
How do we handle score disputes?
Agents can flag any AI score for review with a comment explaining their reasoning. Managers review the disputed call, confirm or adjust the score, and document the rationale. The dispute workflow is structured, creates an audit trail, and builds agent trust in the scoring system over time.
What reporting does it provide for HR and leadership?
Leadership dashboards show team QA score trends, coaching completion rates, compliance flag rates, agent ranking, and performance distribution. HR-relevant data (coaching history, performance trajectory, documented score disputes) is available for export for performance review cycles and employment documentation.
Give every manager the data they need to develop every agent
See how Call Coach IQ scores 100% of calls, automates coaching delivery, and gives you a complete picture of agent performance — without the manual overhead of traditional QA programs.