Doctor Appointment Chatbot Experience Survey
Measures how well an AI scheduling chatbot helps patients book, reschedule, or get answers about medical appointments, covering task completion, trust, and friction points — with an AI follow-up interview that digs into the specific moment the chatbot helped or failed.
샘플 질문
템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.
What did you use the chatbot for during your most recent interaction?
- Booking a new appointment
- Rescheduling an existing appointment
- Cancelling an appointment
- Checking office hours or location
- Asking a question about insurance or paperwork
- Getting a reminder or confirmation
How easy was it to complete your task using the chatbot?
Did the chatbot fully resolve your request, or did you end up needing a phone call or staff member?
- Fully resolved by the chatbot
- Partly resolved, then I needed human help
- Not resolved — I had to start over with a person
How much do you agree with each statement about the chatbot?
- It understood what I was asking for
- The information it gave me was accurate
- The conversation felt natural, not robotic
- It saved me time compared to calling the office
How much do you trust the chatbot to correctly handle sensitive scheduling details (like appointment type, provider, or timing)?
Overall, how satisfied are you with the chatbot experience?
Reconstruct the specific moment in the respondent's most recent chatbot interaction that shaped their satisfaction rating — what they typed or asked, how the chatbot responded, and whether it matched their expectations. If they said they needed human help, probe exactly where the handoff happened and what triggered it. If they gave low trust, ask what specifically made them doubt the chatbot's accuracy.
Next time you need to book or change an appointment, which method would you prefer to use first?
- The chatbot
- Calling the office directly
- The clinic's website or patient portal (non-chat)
- Walking in or asking in person
- No strong preference
What is your age range?
- 18-24
- 25-34
- 35-44
- 45-54
- 55-64
- 65 or older
- Prefer not to say
That's everything — thank you for sharing your experience! Your answers help our clinical and product teams improve how the chatbot handles real patient requests.
포함된 기능
AI 후속 질문
정형화된 설문이 놓치는 세부 내용을, 주관식 답변에 맞춰 AI가 심층 질문으로 끌어냅니다.
주의력 확인 장치
성의 없는 답변과 저품질 응답자를 걸러내는 내장 안전장치입니다.
AI가 작성한 문안
문구, 질문 순서, 분기 로직까지 AI가 연구 목표에 맞춰 작성합니다.
자동 리포트
응답이 모이면 주요 주제, 인용문, 이해하기 쉬운 요약이 자동으로 작성됩니다.
다른 서비스와 비교
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이 템플릿을 선택하는 이유
- Includes a dedicated AI follow-up interview that reconstructs the specific moment the chatbot helped or failed, going beyond static ratings
- Combines task-completion, trust, and friction measures (opinion scales, matrix, resolution outcome) in one flow rather than a single satisfaction score
- Captures behavioral intent for the future ('which method would you prefer next time') alongside sentiment, useful for channel-strategy decisions
- Automated quality scoring and auto-generated reports summarize open-ended detail without manual coding, on a platform with a free tier and transparent $50/mo Business plan (no hidden academic tier)
SurveySparrow
Doctor Appointment Chatbot | For Hospitals & ClinicsThis is a directly comparable template aimed at hospitals and clinics evaluating their appointment chatbot. It appears to be a fielding-ready survey rather than a blog post, likely covering standard satisfaction and usability questions. It does not appear to include adaptive AI-driven follow-up probing into a specific interaction moment.
잘하는 점
- Purpose-built for healthcare chatbot feedback, targeted at hospital/clinic use cases
- Backed by SurveySparrow's broader survey distribution and dashboard tooling
- Likely offers standard branching logic for a structured feedback flow
아쉬운 점
- No indication of adaptive AI follow-up interviews that dig into a specific chatbot interaction moment
- No published methodology or prompt transparency for how deeper insights are extracted
- Likely relies on fixed question sets rather than automated per-response quality scoring
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이 템플릿을 편집기에서 열어 보세요. 첫 응답자가 보기 전에 모든 부분을 원하는 대로 바꿀 수 있습니다.