Define what success looks like
Build structured test cases with clear objectives and success criteria — so every evaluation is measurable, repeatable, and leaves nothing to guesswork.
Refund request handling
Customer requests a refund for a recent order
Objective
Complete the refund process end-to-end, confirming order details and processing the refund
Success conditions
What is a voice agent test scenario?
A scenario is a structured test case for evaluating AI voice agents. It defines the conversation goal, what success looks like, what failure looks like, and the boundaries of the test — so every evaluation is consistent and auditable.
Objective
What the agent must do
Success Conditions
What a pass looks like
Evaluate
Run and measure results
How to create test scenarios
Generate scenarios using AI
Automatically generate tailored test scenarios based on your agent's configuration — up to 30 at once, ready to run in campaigns.
Agent
Number of scenarios
Generated preview
+ 12 more...
Add scenarios manually
Define objectives, set pass/fail criteria, configure criticality and turn limits, and organize scenarios with tags for full control.
Scenario name
Objective
Criticality
Max turns
Advancements behind the scenes
One scenario, one objective
Every scenario targets a single objective. This isolates what your voice agent can and cannot do. Debugging becomes precise, not guesswork.
Intelligent gap detection
Our engine identifies missing scenarios as AI generates yours. It detects overlooked edge cases and industry-specific gaps in parallel.
Adaptive execution variability
No two runs are identical. Each execution varies phrasing, timing, and flow. This covers every permutational path to reach an objective.