Phone mystery shopping is an old, simple idea: someone calls a business as an ordinary customer, takes notes, and reports how the call went. Companies have long used it to check human staff.
The same idea works well for AI receptionists, with one change: the things to listen for are different, because AI fails in different ways from people.
How mystery shopper phone calls work
- The business agrees what to check and, often, a few scenarios
- A caller places the call as an ordinary customer would
- The caller notes what was asked, what was said and how it felt
- Each call is scored against agreed criteria
- The business receives a report
Why the method suits AI receptionists
An AI receptionist does not know it is being tested and cannot try harder for the tester, which makes a mystery shopping call an honest sample of what customers hear. And because an AI says much the same thing every time, a problem found once is likely to be happening to real callers too.
What changes is the rubric. Human staff are scored on courtesy and following procedure. An AI receptionist also needs to be checked for invented information, long pauses and talk-over, failed handoffs and the accuracy of the message the business receives.
Why real people, not bots
Automated test calls are useful for teams building voice agents, but they sound like automated test calls. Real people bring the interruptions, changed minds, background noise and off script questions that trip up AI receptionists in the real world.
What a good test call looks like
- It has a clear, realistic reason for calling
- It includes one or two things a script would not expect
- It uses fictional details, never real customer or patient information
- It is written up right away, with the AI's exact words where it matters
See how we plan and score calls on how it works, or look at the sample report to see what a business receives.