Scenarios in AI Agent Evaluation
Updated
Scenarios are the foundation of AI Agent evaluation. Each scenario represents a customer interaction used to assess how effectively an AI Agent responds, aligns with business objectives, follows guardrails, and achieves the desired outcome.
Scenarios help validate agent behavior across a variety of customer situations before deploying changes to production. Scenarios can be:
- Automatically generated using agent configurations and historical data
- Manually created for targeted use cases
How Scenario Generation Works
Scenario generation uses inputs from the AI Agent configuration to create realistic test cases, including:
- Agent tasks and objectives
- Knowledge sources
- Guardrails and instructions
- Historical customer interactions
- Profile and case attributes
- Evaluation parameters and quality metrics
These inputs are combined to generate scenarios that reflect real customer conversations and provide broad behavioral coverage.
Scenario Sets
Scenarios are grouped into Scenario Sets, which act as collections for evaluation and simulation.
Examples:
- Billing Support Evaluation
- Product Troubleshooting
- Customer Onboarding
Grouping scenarios enables targeted evaluation of specific workflows, use cases, or customer journeys.
Create a Scenario
Access Scenarios
Open the AI Agent and navigate to Evaluate.
Select Scenarios from the left pane.
Click + Scenario.

Scenario Configuration
Window 1: Scenario Details
Define basic scenario information:
- Scenario Set: Select the destination scenario set
- Scenario Name: Enter a descriptive name
Description: Define the interaction, including:
Customer issue or request
Emotional context
Expected outcome

Window 2: Scenario Generation
The system generates the following:
- Customer Persona: Customer characteristics
- Scenario: Full interaction context
- Strategy: Expected agent approach
Use Back to update inputs and regenerate results.

Window 3: Success Criteria
Automatically generated based on scenario inputs:
- Defines how success is measured
May include:
- Accurate issue identification
- Correct resolution
- Policy adherence
- Professional communication
- Minimal escalation
Success criteria are read-only. Update previous inputs to regenerate.
Click Save Scenario to complete.

Manage Scenario Sets
Available actions:
Edit Scenario Set
- Rename
- Review scenarios
Delete Scenario Set
Removes the set and its configuration

Bulk Scenario Generation
Generate multiple scenarios automatically to evaluate broader agent behavior.
Inputs Used
- Agent tasks and objectives
- Guardrails
- Knowledge sources
- Historical cases
- Evaluation parameters
- Profile and case attributes
Generate Scenarios
Click Generate Scenarios on the Scenario Sets page.

Configure:
Scenario Set Name
Date Range
Case Selection Conditions (Field, operator, values)
Filters allow targeting of:
Customer segments
Issue types
Channels
Products
Regions
Generation Process
The system creates scenarios using:
- Historical conversations
- Agent configuration
- Knowledge content
- Governance rules
- Evaluation parameters
- Customer and case attributes
Generated scenarios are added to the selected Scenario Set for review and use in simulations.