Customer Support Training that Improves CSAT & Resolution Time
Agents rehearse angry customers, escalations, and edge cases in realistic AI roleplays, then get scored on real interactions with the same scorecards.
Trusted by Leading Enterprise Teams
Why Customer Support Training Fails to
Improve Outcomes
Agents aren’t prepared for real scenarios
Support quality varies across agents
No visibility into performance
From Training to Consistent Support Execution
Practice Real Customer Conversations
Rehearse the hardest customers before going live. Multi-persona roleplays simulate frustrated customers, edge cases, and complex issues, so readiness is benchmarked before an agent takes a real interaction.

Simulate Support Workflows
Practice the workflow, not just the conversation. Agents run ticket handling, escalation, and documentation in simulations that mirror your real support systems, so accuracy is built before day one.

Evaluate Real Interactions
Score real interactions with the same scorecard. The scorecards used in training also score live interactions, so you can see whether practiced skills like empathy, clarity, and resolution show up with real customers.

Continous Skill Improvement
Close gaps automatically with micro-learning. When scoring flags a gap, Outdoo assigns a targeted refresher, keeping quality consistent across agents, teams, and channels.

Measure Support Outcomes
Connect training to CSAT and resolution time. Dashboards track handling quality across teams and interaction types, so L&D can tie training programs to the metrics support leaders report on.

Enterprise-Grade Security




Frequently asked questions
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