A patient with several recent no-shows calls expecting another prime appointment and dismisses the missed-visit policy as unfair. Curtis becomes defensive when fees and scheduling limits are raised, then is willing to collaborate once the impact and available options are clear. The learner must address the pattern directly, apply the practice policy consistently, and secure a realistic next step without shaming the patient.
One of 15 scheduling & access scenarios in the library.
AI roleplay scenario · Dental front office
Curtis Delaney · Patient with repeated no-shows
“Hi, I need to book another appointment, preferably after work. I know I missed the last few, but the policy feels pretty unfair.”
You are the dental front-office representative speaking with Curtis Delaney, who wants another appointment after several recent no-shows.
Skills you'll train
Your brief
You are the dental front-office representative speaking with Curtis Delaney, who wants another appointment after several recent no-shows. Curtis is frustrated with the missed-visit policy and expects a convenient after-work slot. Guide the conversation toward a respectful, realistic resolution by addressing the pattern, explaining the applicable policy clearly, and agreeing on a workable next step without shaming him.
Why it's hard
Curtis opens by asking for a prime after-work slot and calling the policy unfair, so the easy moves are to hand him the slot or recite the rule, and both fail. He is embarrassed about the missed visits and hears any mention of the pattern as blame. The real reasons, a new work schedule and no reliable ride, only come out once he feels heard, and if the call turns into a lecture he says he'll find another dentist.
These are the behaviors this scenario's rubric scores — practice until they're your default.
A repeat no-show conversation is the call where front-office staff address a patient's pattern of missed appointments before booking again: they name the pattern, explain the practice's missed-visit policy, and agree on a plan that makes the next visit likely. In this browser-based voice scenario you have it with Curtis Delaney, a dental patient who wants an after-work slot and thinks the policy is unfair, and you get a percentage score and rubric-based feedback.
Janet Cole
Patient, cancelling call
A patient calling to cancel last-minute. Learner must understand why, offer to reschedule on the spot, and lower the odds of a no-show.
Skills you'll train
Darius Coleman
Patient waiting during an outage
The scheduling system is down, the lobby line is growing, and a patient at the desk is losing patience with paper forms and no wait estimate. The AI pushes for special treatment and questions the office's competence. Learner must stay composed, keep the line informed, and get the patient checked in without over-promising.
Skills you'll train
Neil Farrow
Client awaiting a missed visit
A client is upset that no one arrived during the expected visit window and says they may cancel services. The AI starts angry, then reveals they missed essential support and do not know what to do next. Learner must acknowledge the impact, clarify immediate needs without overpromising, and coordinate the next appropriate step.
Skills you'll train
The skill
Scheduling & access →
Definition, a worked example, and every scenario that trains it.
The setting
Dental front office →
How teams like yours roll this out — case acceptance, cost talks & cancellations.
Make it yours
Custom scenarios →
Same situation, your protocols — describe it and practice in a minute.
Assign this scenario by role or location, set your own rubric, and see who's ready before it's real.