Who Uses Outdoo AI?
Outdoo AI is the AI roleplay and training platform for customer-facing teams, so it serves many roles: sales, customer success, support, enablement and the leaders above them. The product is the same for everyone, but what each person focuses on, and what they can see, depends on their permission profile. Here is how different roles typically use it.
Account Executives and Sales Team Members
Sales team members use Outdoo AI to prepare for calls and to review them after. Before a discovery call, they run a roleplay against an AI agent built around their typical buyer. After a real call, they can open it under Real Calls > History, review the transcript, check their scorecard, and see where points were dropped. For team members who are ramping, workflow training covers the post-call tasks, such as CRM updates and dispositioning, before they do them on live deals.
Sales Managers
Managers use Real Calls and Performance to review calls, leave feedback, and track whether specific skills are improving over time. Because Outdoo AI uses the same scorecard for roleplay and live calls, managers can see whether what a team member practiced is showing up in real conversations. Performance > Scorecards shows team-level patterns, including which criteria are consistently low and which team members need attention, so coaching time goes where it matters most.
Sales Enablement Teams
Enablement managers own the agent library, the scorecards, and the courses that sequence everything together. They build roleplay agents from real calls, set certification thresholds, and use performance data to see whether training programs are changing behavior on live calls. Outdoo AI gives enablement the feedback loop that is missing from most LMS-only setups: you can see whether the training worked.
L&D Teams
L&D teams use Outdoo AI's course builder (Manage > Courses) to sequence roleplay practice, including agents with workflow training attached, into structured onboarding programs. Courses support SCORM export for LMS integration and certifications with configurable passing criteria, and batches (Manage > Batches) can send email reminders to learners who haven't finished. Outdoo AI fits into an existing learning ecosystem rather than replacing it.
Instructional Designers
Instructional designers configure the components that make practice realistic: persona descriptions, scenario settings, behavior constraints, and scorecard criteria. The quality of roleplay depends directly on the design of the agents and scorecards. Outdoo AI gives instructional designers detailed controls over how agents behave and how performance is measured.
RevOps and SalesOps
RevOps teams connect Outdoo AI to CRM and dialer systems and record workflows for post-call processes. When a new CRM process rolls out, RevOps records the workflow so team members practice the correct steps before it goes live, reducing data quality errors. RevOps also sets up CRM Automation playbooks and their CRM field mapping.
Tech Admin
Admins handle initial setup in Company Settings: calendar and CRM integrations, SSO, workspaces, consent profiles, permission profiles and user provisioning. In smaller organizations the admin might be the VP of Sales or someone in SalesOps. In larger organizations it is usually IT. Most of the setup is a one-time effort; ongoing admin work is mainly user management and integration maintenance.
CROs and Sales Leaders
Senior leaders use Outdoo AI mainly through Performance and Opportunities > Insights, looking at team-level scorecard trends, certification rates, and coaching effectiveness data. The question Outdoo AI answers for a CRO is not just whether training happened, but whether it changed what team members do on calls. The comparison between roleplay scores and live call scores on the same criteria is the signal most revenue leaders are missing from their current stack.
Hope this article was helpful. For any queries, please write to support@outdoo.ai