Intro to Roleplay Agents
A Roleplay Agent is an AI-powered simulation of a buyer. It has a defined persona (personality traits, emotional state, objections, communication style) and a specific scenario, and it responds dynamically to whatever the team member says. Team members practice against it the same way they would prepare for a real call, with a scorecard and feedback after each session.
Watch: Why Sales Teams Should Use AI Roleplay for Training
Roleplay agent types
Beyond standard voice roleplays (Voice Mode), Outdoo AI supports several specialized formats:
- In-Person Roleplay Agents: face-to-face conversations where pacing and meeting flow matter
- Multi-Persona Roleplay Agents: buying committee simulations with two or three stakeholders, each with different priorities
- Gatekeeper Agents: training team members to get past assistants and receptionists before reaching the decision-maker
- Video Avatar Roleplay Agents: face-to-face practice with an AI avatar, as in a video meeting
- Chat Roleplay Agents (Chat Mode): text-based roleplays for practicing written conversations and objection handling in chat
Ways to create a roleplay agent
Method | Description | Best for |
|---|---|---|
From Existing Calls | Upload a call or connect Gong/Clari. Outdoo AI extracts buyer behavior, tone, objections, and persona details automatically. | Most accurate, real-world scenarios |
Create Variations | Generate instant variations using new personas, scenarios, or voice styles from an existing agent. | High-volume roleplay libraries, adaptability training |
Clone Agent | Reuse an agent across multiple sales stages — discovery, pricing, negotiation. | Consistency across the sales cycle |
From Prompt | Type a short description of the buyer and context. Outdoo AI builds a complete agent. | Fast persona creation, onboarding, new scenarios |
From File or Resource | Create an agent from product docs, playbooks, or call scripts. | Grounding agents in real materials |
From Template | Start from prebuilt templates for cold calls, discovery, demos, and other common scenarios. | Structured, repeatable simulations |
What you can configure
Each agent has several layers of configuration:
- Persona: name, title, company, personality traits, emotional state, communication style
- Roleplay type and scenario: the kind of call (cold call, discovery, demo, renewal and so on), the buyer's situation and background story
- Priorities and objections: what the buyer pushes back on and what they respond to
- Scorecard: the criteria used to evaluate the team member's performance after each session
- Instructions to Rep: guidance shown to the learner before the session starts
- Background environment: ambient noise to simulate an office, call center, or other setting
Organising agents
Agents can be grouped into folders by product line, skill area, sales stage, or training cohort, and folders can be shared with your team. Tags help team members filter the list.
Where agents are used
- Standalone practice: team members open agents directly from Practice > Roleplay Agents
- Courses: agents are added to a structured learning path
- Call Blitz: team members work through a sequence of agents in a set time window
- Certifications: a course's passing criteria, used for formal sign-off
Hope this article was helpful. For any queries, please write to support@outdoo.ai