Coaching
Agent coaching from real QA evidence
KnownSense helps supervisors move from scored calls to focused coaching by connecting call outcomes, flagged moments, and training follow-up.
Built for
Team leads and QA managers responsible for improving agent quality, compliance, and customer outcomes.
India-first buyer context
Where this fits in a real call operation
Small teams need coaching that feels specific, not generic. The strongest coaching examples usually come from recent calls with clear score or flag evidence.
Common call examples
- Repeat objection calls
- Low-empathy support calls
- Missed closing calls
- Escalated customer calls
Rollout checks
- Choose two or three coaching themes before adding more metrics.
- Use real call excerpts in manager feedback sessions.
- Measure whether the same mistake reduces after coaching.
Search intent
What teams want when they search for agent coaching software
Coach from actual call examples.
Identify repeat gaps across agents.
Use QA flags to guide feedback sessions.
Connect training to measurable call outcomes.
Capabilities
A QA workflow that produces evidence, not just analytics
Evidence-based feedback
Use scorecards, call summaries, and flags to make coaching specific.
Agent-level trends
See where each agent is improving and where repeat issues remain.
Training follow-up
Connect recurring QA gaps to focused training or manager review.
Workflow
From call recording to QA action
Find coaching moments
Use low scores, flags, and script gaps to identify useful examples.
Review call context
Inspect the summary, transcript, and scorecard evidence before feedback.
Track improvement
Watch agent-level quality trends as coaching continues.
Example evidence
A reviewable signal a manager can act on
KnownSense is designed to keep AI output reviewable: the manager sees the summary, score, transcript evidence, and the call record before taking action.
Signal to inspect
Several calls from the same agent show weak objection handling after pricing questions, even when the overall score is acceptable.
Decision it supports
The team lead can coach one specific behavior instead of giving broad feedback that the agent cannot act on.
Operating fit
Built around real QA jobs
Built for QA manager and team lead workflows.
Keeps coaching connected to scored calls and audit evidence.
Supports agent performance visibility alongside call review.
FAQ
Questions buyers ask before a demo
How can AI call QA improve coaching?
It helps managers find specific examples faster, so feedback is tied to real calls instead of broad impressions.
Can managers track agent progress?
KnownSense provides agent performance views so teams can monitor score, volume, and flagged-call patterns over time.
Keep exploring
Related pages
Features
AI call quality monitoring
KnownSense helps QA teams monitor call quality with AI scoring, transcripts, summaries, flags, and agent performance visibility.
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Customer support call review
Review customer support calls with AI summaries, QA scorecards, escalation flags, agent coaching, and service quality signals.
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Automated call scoring
Score recorded calls automatically with QA scorecards, performance signals, and review queues for contact center supervisors.
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