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Agent Coaching

Make every agent your best agent.

The gap between your top performers and everyone else is where customer satisfaction lives or dies. Manual QA catches 2% of interactions. You create playbooks but have no idea if anyone follows them.

Coaching and support
The coaching gap
Top vs Average
2.3x
Reviewed Today
2%
With Labelf
100%
See the gap

Same role. Same customers. Completely different results.

Labelf shows you exactly where the gap is — and what the best agents do differently. Then we help you close it.

SC
Sarah ChenGrade A
Premium Support
CSAT94%
Resolution89%
AHT6.2min
Sales34%
Top Performer
JE
Johan EkGrade C
General Support
CSAT71%
Resolution62%
AHT9.8min
Sales8%
Needs Coaching
The gap costs $2,400/mo
Coaching priorities

Know who needs coaching and why

Every agent scored. Every gap quantified in dollars. Ranked by impact so you coach the right people first.

Coaching Priorities
12 agents

12 agents need coaching · $34K/mo recoverable value

Critical
3 agents
$12K/mo impact
High
5 agents
$14K/mo impact
Medium
4 agents
$8K/mo impact
Top Agents by Coaching Impact
Johan Ek
$4,200
Emma Björk
$3,100
Oscar Berg
$2,400
Many more coaching insightsBook a demo to see yours →

Your AI agent delivers tailored coaching.

Ask the agent about any team or individual. It deep-dives into their interactions, compares against top performers, identifies specific gaps, and writes a personalized coaching plan — with cited examples from real conversations.

  • "Why is Johan's CSAT dropping?" The agent reads 200 of Johan's calls, finds he skips the empathy step on billing disputes, and shows examples of what Sarah does differently.
  • Writes playbooks from best practices Extracts what top performers do — specific phrases, techniques, sequences — and packages them as training-ready coaching material.
  • Measures if they actually follow it Custom ML models detect whether agents follow the playbook. Track adherence rates and cost of non-adherence automatically.
Scoring 847 interactions
Benchmarking against top performers
Identifying coaching gaps
Analyzing what top agents do
Comparing team patterns
Building coaching plan
Coaching Plan
1
Practice empathy phrases from top performersSkill
2
Reduce unnecessary transfers — use warm handoffProcess
3
Review 3 high-CSAT calls from Sarah ChenLearn
4
Read personalized coaching briefBrief
Ready for review
Playbooks

Best practices, packaged and proven

We extract what top performers do — the exact phrases, the techniques — and turn them into playbooks anyone can follow. With real conversation citations.

Empathy before resolution

Billing disputes
Situation

Customer calls frustrated about a billing error they've reported before

Do this

"I completely understand how frustrating that must be. Let me look into this right now and make sure it's resolved today."

Sarah Chen · CSAT 4.8
Don't do this

"Let me transfer you to billing."

Johan Ek · CSAT 2.1
Agents following: 64%Cost of miss: $6,800/moImpact: +0.8 CSAT pts
Learn from the best

Same situation. Different outcome.

When Johan struggles with a billing dispute, Labelf finds every time Sarah handled the same situation — and shows him exactly what she did differently. Real calls, real quotes, real outcomes.

The agent can surface these automatically or on demand. A team leader asks "show me how our best agents handle angry callers" and gets cited examples in seconds.

Situation: Billing dispute — customer called 3 times
Johan Ek CSAT 2.1

"I'll transfer you to billing, they can help with that."

Result: Customer escalated. Churn risk flagged.
Sarah Chen CSAT 4.8

"I can see this has happened before and I'm sorry. Let me fix this right now — I'll stay on until it's resolved."

Result: Resolved in 4 min. Customer retained.
Technical troubleshooting
3 examples 2 examples
Cancellation request
5 examples 4 examples
AI-powered coaching

Ask anything about any agent

Your team leaders can ask the AI agent coaching questions in plain language. It reads every interaction, compares performance, and writes the coaching material.

Labelf Agent
Why is Johan's CSAT dropping this month?
Reading 847 interactions
Comparing against top performers
Identifying coaching gaps
Johan's CSAT dropped from 3.8 to 3.2 this month. The main driver is billing dispute calls where he transfers instead of resolving. Compared to Sarah Chen who handles similar calls with a 4.8 CSAT by...
Ask anything about any agentBook a demo
Playbook adherence

Do they follow the playbook? Now you know.

Custom ML models trained on your playbooks automatically detect whether agents follow them — and quantify the cost when they don't.

Playbook Adherence
Custom ML models track compliance automatically
Retention offer on competitor mention
29 agents tracked
78%$4,200/mo
Warm handoff instead of cold transfer
29 agents tracked
64%$6,800/mo
Empathy phrase before resolution
29 agents tracked
91%$1,100/mo
Per-Agent Breakdown
Sarah Chen
Excellent
Blake
Good
Johan Ek
Needs Coaching
Track every playbook across every agent —Book a demo →
Track improvement

Watch the gap close, week by week

Every coaching action is measured. See adherence rates improve over time and quantify the impact in dollars.

Adherence Trend — Empathy Playbook
42%
Week 1
Playbook launched
51%
Week 2
58%
Week 3
68%
Week 4
74%
Week 5
81%
Week 6
Started: 42%Current: 81%
+39 percentage points in 6 weeks
Agent 360

Every agent gets a complete performance profile

Grade, strengths, gaps, trends, and a personalized coaching plan — generated automatically from every interaction.

SC
Sarah ChenPremium Support
Improving
A
Experience
2.4 years
Volume
1,247 calls
Total Value
$48,200
Performance Metrics
CSAT94%
Benchmark: 82%
FCR Rate89%
Benchmark: 76%
Avg AHT6.2min
Benchmark: 8.5min (lower is better)
Key Strengths
Exceptional empathy in escalation calls
Consistently offers relevant upsells
Category Breakdown
Monthly Trend
Recent Interactions
Coaching Recommendations
1
2
3
Full profile, trends, interactions & coaching plan
Every agent gets personalized coaching insights
Book a demo
Team comparison

Spot team strengths and gaps at a glance

Color-coded heatmap showing how each team performs against org averages. Green means above, red means below — no interpretation needed.

Team Performance
TeamCSATAHTFCRTransferSales Conv.
Badger
4.1+0.3
240s-45s
80%+8%
9%-3%
27%+5%
Penguin
3.9+0.1
297s+12s
74%+2%
13%+1%
20%-2%
Org Average
3.8
285s
72%
12%
22%

Better agents. Better outcomes.

When every agent performs like your best — and follows the playbook — everything improves.

100 %

Interactions scored automatically

78 %

Avg playbook adherence rate

30 d

Average integration window

We're ready, are you?

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