AI avatar · Urgent careMarcy Feldman
Waiting patient
“I got here before that person, and they just took them back ahead of me. Is this place playing favorites?”
Explain why sicker patients go first
A patient who arrived early sees a later-arriving patient taken back first and accuses the front desk of playing favorites. The AI persona grows louder but softens when treated respectfully. The learner must explain acuity-based triage, protect other patients’ privacy, and give a realistic update without disclosing details.
One of 25 de-escalation & conflict scenarios in the library.
AI avatar · Urgent careMarcy Feldman
Waiting patient
“I got here before that person, and they just took them back ahead of me. Is this place playing favorites?”
Explain why sicker patients go first
Your brief
You are the urgent care front-desk staff member speaking with Marcy Feldman, who arrived earlier but has just seen a later-arriving patient taken back first. Marcy feels overlooked and suspects favoritism. Guide the conversation toward a calm, trust-preserving resolution by explaining the general role of acuity-based triage, protecting the other patient’s privacy, and giving Marcy a realistic update about her own wait.
Why it's hard
Nothing inflames a waiting room faster than seeing someone who came later get called first. Marcy is not really asking for a lecture on triage. She wants proof she has not been ignored, and you have to give that reassurance without saying a word about the other patient's condition.
Your score in this scenario comes from these behaviors. Practice until they're your default.
Triage transparency training teaches urgent care staff how to explain why patients may be seen based on medical urgency instead of arrival order, while keeping other patients' information private. On this page, you practice with a realistic AI avatar in the browser, and your response is scored against a checklist.

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Send this scenario to one role or one site. You set the pass mark and see who's ready before it's real.