Voice AI evaluation · Product teams
Connect the customer promise to a measurable task outcome. Define success with your team, choose the scenarios that matter, and review the evidence behind each change.
Your scenarios. Your success criteria. Evidence to review.
What did the agent promise?
What did the system accept?
What was actually saved?
Illustrative scenarios · fictional conversations and expected checks
Simulated caller
Can you confirm my reservation for two people?
Agent
The reservation is saved for two guests at 7 p.m.
Customer outcome definedChoose the task the user expects to complete. Describe success in terms the team can observe in the business system.
Promise exceeds result
FlaggedEvidence to review
The conversation sounded successful, but the example reservation service rejected the request. No confirmation was saved.
Review the scenarios where a fluent answer hides unfinished work. Use the evidence to decide which failures need attention.
Simulated caller
Is my requested time available?
Agent
It is unavailable. Your reservation has not changed; would you like another time?
Expected handling shownCompare compatible runs of the same scenario. Look at whether the update changes the actual outcome and how the agent communicates it.
Agree with engineering and quality on customer goals, important failures and required evidence.
Choose a controlled workflow and a system that can show whether the task completed.
Use concrete cases and reviewer findings to communicate improvements and remaining limitations.
Fictional product-evaluation examples. Release decisions remain with your team. Customer production analytics and automated release enforcement are not implemented by these pages.
Bring your team’s hardest scenario. Let’s define what a successful result would need to prove.
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