Online Appointment Scheduling Experience Poll
Captures how customers actually book appointments through your online scheduling tool — preferred days, times, and devices, plus where the process breaks down. Includes an AI follow-up that reconstructs the last booking attempt step by step to surface friction points a satisfaction score alone would miss. Built for clinics, salons, service businesses, and B2B teams that manage bookings online.
샘플 질문
템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.
How did you book your most recent appointment with us?
- Our online booking page
- Phone call
- Email or text
- Walked in / in person
- Third-party app (Replace with your booking platform, e.g., Calendly)
How easy was it to find and book an available time slot online?
Which days of the week work best for your appointments? Select all that apply.
- Monday
- Tuesday
- Wednesday
- Thursday
- Friday
- Saturday
- Sunday
Which time of day do you most often try to book?
- Early morning (before 9am)
- Mid-morning to noon
- Afternoon (12-5pm)
- Evening (after 5pm)
- No strong preference
What device did you use to book your last appointment online?
- Smartphone
- Tablet
- Laptop or desktop computer
How would you rate the confirmation and reminder messages you received (email, text, or app notification)?
Rank these scheduling features by how much they matter to you, from most to least important.
- Seeing real-time availability instantly
- Ability to reschedule or cancel myself
- Choosing a specific provider or staff member
- Automatic reminders before the appointment
- Paying or providing details online in advance
- Getting the very next available slot quickly
In the last 6 months, have you ever given up on booking online and contacted us another way instead?
- Yes, more than once
- Yes, once
- No, never
Reconstruct the respondent's most recent attempt to book online, step by step: what they were trying to schedule, where the process felt smooth, and the exact point (if any) where they got confused, stuck, or abandoned it. If they said they gave up and contacted another channel, probe specifically what went wrong and what would have kept them online. Anchor follow-ups on their ease-of-booking rating rather than asking about scheduling tools in general.
Just a couple of quick background questions, then you're done.
About how often do you book appointments with us?
- First time
- A few times a year
- Monthly
- Weekly or more
- Prefer not to say
What is your age range?
- Under 18
- 18-24
- 25-34
- 35-44
- 45-54
- 55-64
- 65+
- Prefer not to say
That's everything — thank you! Your answers will directly shape improvements to our online booking experience.
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
다른 설문 도구의 가장 유사한 템플릿을 검토했습니다. 그 도구들이 잘하는 점과, 이 템플릿이 한발 더 나아가는 지점을 정리했습니다.
이 템플릿을 선택하는 이유
- Goes beyond a satisfaction score by having an AI follow-up interview reconstruct the respondent's most recent booking attempt step by step to pinpoint exactly where friction happens
- Captures preferred days, times, and devices alongside a ranked view of which scheduling features matter most, giving both quantitative and prioritized qualitative signal
- Includes a direct multiple-choice check on whether respondents ever gave up on online booking and called instead, surfacing abandonment that a simple ease rating would miss
- Pairs standard scheduling questions (confirmation/reminder ratings, booking frequency, age range) with conversational chat framing so the survey feels guided rather than a cold form
SurveyMonkey
Online Scheduling Poll TemplateA static, ready-to-field template covering core scheduling preferences like days, times, and satisfaction with the booking process. It's a straightforward questionnaire rather than an interactive interview, so it relies on respondents self-reporting rather than any follow-up reconstruction of what happened. Good for quick benchmarking but limited for root-cause diagnosis.
잘하는 점
- Backed by a large, well-known survey platform with broad distribution and panel options
- Quick to deploy for general scheduling satisfaction benchmarking
- Familiar template format that's easy for respondents to complete
아쉬운 점
- No adaptive follow-up questioning to probe why a booking attempt failed
- No mechanism to reconstruct a specific booking attempt step by step
- No published methodology or per-response quality scoring
Jotform
Scheduling Poll Form TemplateA customizable form-builder template for gathering scheduling preferences, likely aimed as much at coordinating meeting times as at diagnosing booking-tool friction. Strong on form design flexibility and integrations, but it is a static form rather than a conversational or adaptive survey. No indication of any interview-style follow-up or automated scoring of responses.
잘하는 점
- Highly customizable form fields and design via Jotform's builder
- Easy integration with Jotform's broader forms/workflow ecosystem
- Simple to embed on a scheduling or booking page
아쉬운 점
- Static question set with no adaptive AI probing into individual booking attempts
- No voice interview or guided screen-share task option
- No automated quality scoring or auto-generated insight reports
Typeform
Scheduling Poll Form TemplateA conversational-style form covering scheduling preferences, benefiting from Typeform's polished one-question-at-a-time UX. It's still a fixed sequence of questions, not a dynamic interview, so it can't branch into deeper follow-up based on a respondent's specific answer. No evidence of AI-driven analysis or reporting built into the template itself.
잘하는 점
- Polished, conversational one-question-at-a-time UI that keeps completion friction low
- Good mobile-friendly presentation for a scheduling-preferences survey
- Easy to customize branding and question order
아쉬운 점
- No adaptive AI follow-up that adjusts based on prior answers
- No step-by-step reconstruction of a respondent's actual booking attempt
- No transparent prompt methodology or automated per-response scoring
설문을 공개할 준비가 되셨나요?
이 템플릿을 편집기에서 열어 보세요. 첫 응답자가 보기 전에 모든 부분을 원하는 대로 바꿀 수 있습니다.