Agent Training, Practice and Certification

how you train

Train Smarter, Not Harder

Guided Training Paths

Create multi-step learning journeys with prerequisites, quizzes, and practical exercises. Agents see exactly what's next.

Live Coaching Alerts

Get notified when agents struggle on calls. One-click whisper mode lets supervisors coach without the customer hearing.

Knowledge Tests

Multiple-choice, scenario-based, and open-ended assessments. Auto-graded with detailed feedback for each question.

Gap Analysis

Connects with HeroScore to identify weak areas. Automatically recommends training modules based on actual performance data.

Progress Dashboards

Real-time visibility into team and individual progress. Track completion rates, scores, and time-to-certification.

part of the herodash suite

planning your service

Build a learning path around real service tasks

Choose a task such as explaining a return policy, checking an order or escalating an account issue. Give the learner the approved knowledge and a scenario that tests the decision they need to make. Define the answer, permission boundary and escalation point before setting the assessment.

The HeroDash training loop supports courses, knowledge tests, AI role-play, scoring and certification. Use those stages to check both recall and application. A course-completion record and readiness to handle a live exception answer different questions.

planning your service

Connect a quality gap to the next practice task

After agents begin handling requests, quality feedback can identify a weak area and lead to targeted training tasks. For example, if a reviewed interaction contains an unauthorized refund promise, the follow-up should test the approval limit and the correct escalation route.

Review later interactions using the same quality criterion. That makes it possible to distinguish completed retraining from a corrected behavior. The deployment discussion should establish which queues and agents use this loop.

• Explore quality scoring

planning your service

Bring these examples to the demo

Use your own approved material and an anonymized service scenario to evaluate the workflow. Ask to follow one learner from assigned material through assessment and the later quality feedback.

• A task description, current policy and expected customer response.
• A normal scenario and an exception requiring supervisor approval.
• The readiness criterion and who can approve an agent for live work.
• A sample quality finding and the practice that should follow it.

• See the HeroDash platform
• Discuss training requirements