Service Timeline & Status Communication Feedback Survey
Measures customer perceptions of ETA clarity, status update frequency, and service commitment communication following a recent service interaction. Use to identify communication gaps that drive escalations and erode trust.
샘플 질문
템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.
Which type of interaction are you recalling for this survey?
- Delivery or order fulfillment
- Support ticket
- Service appointment or field visit
- Billing or account change
- Onboarding or implementation
- Other (please specify)
How clear was the initial ETA or time target you were given?
How accurate was the communicated ETA compared to the actual timing of your interaction?
Which channels do you prefer for receiving ETAs and status updates? Select all that apply.
- SMS / text message
- Mobile app push notification
- In-app or web portal
- Phone call
- Live chat
- WhatsApp or similar messaging app
- Other (please specify)
Overall, how satisfied are you with the way ETAs and status updates were communicated during this interaction?
Are you using our service as an individual or on behalf of a business?
- Individual / personal use
- Business / on behalf of a company
- Both
- Prefer not to say
Thank you for your time. Your feedback will directly help us improve how we communicate timelines, status updates, and service commitments.
Were you given an estimated time of completion or a target resolution time for this interaction?
- Yes
- No
- Not sure / don't recall
How satisfied were you with how often you received status updates during this interaction?
Based on what you were told, how did the actual timing compare with the service commitment or deadline you were given?
- Completed ahead of the commitment
- Met the commitment
- Missed the commitment by less than 24 hours
- Missed the commitment by 1–3 days
- Missed the commitment by more than 3 days
- No service commitment was provided
- Not sure
How likely are you to recommend our service to a colleague or friend based on this experience?
Which region are you primarily located in?
- North America
- Europe
- Asia-Pacific
- Latin America
- Middle East / Africa
- Other or multiple regions
- Prefer not to say
How easy was it to find the current status of your interaction when you needed it?
Did the status updates you received reference your service commitment or target deadline?
- Yes, consistently
- Yes, at least once
- No
- Not applicable
Based on your experience, what would have made ETAs and status updates clearer or more helpful?
What is your age group?
- 18–24
- 25–34
- 35–44
- 45–54
- 55–64
- 65+
- Prefer not to say
How clear was the communication about what the next steps would be?
If the ETA changed, how was the change communicated to you?
- Proactively before the original ETA
- At the time of the change
- After the original ETA had passed
- I was not informed of the change
- The ETA did not change
- Not sure
We'd like to understand more about your experience with how timelines and updates were communicated. Please share your thoughts, and we may ask a couple of follow-up questions.
How clear was the communication about who to contact if you had questions?
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
- Combines structured opinion-scale questions (ETA clarity, update frequency, next-steps clarity, contact clarity, ETA accuracy) with an AI follow-up interview question that adaptively probes why respondents felt updates were unclear or ETAs were missed, rather than stopping at a static rating.
- Includes specific branching logic questions (e.g., how an ETA change was communicated, whether updates referenced the original commitment) that isolate exactly where communication breaks down, not just overall satisfaction.
- Pairs quantitative diagnostics (opinion scales, dropdown on actual-vs-communicated timing, NPS-style recommend question) with open-text and AI-interview follow-up for root-cause detail in the same flow.
- Every question's intent is transparent and the survey auto-generates a report, so teams can act on findings without manually coding open-ended responses.
SurveyMonkey
Customer Service Survey Template (With Questions)A general-purpose customer service feedback template rather than one focused on timeline, ETA, or status-update communication specifically. It's a fielding-ready static form backed by a large, established survey platform with strong panel and benchmarking infrastructure. Useful as a broad service-satisfaction baseline but not built to isolate ETA/communication gaps.
잘하는 점
- Backed by a mature, widely-used survey platform with strong distribution and analytics tooling
- Pre-built generic customer service questions ready to deploy quickly
- Established benchmarking data across many industries
아쉬운 점
- Static question set with no adaptive AI follow-up to probe unclear or negative ETA/communication responses
- No voice AI interview or guided screen-share task option
- No published methodology for how questions were validated, and no automated per-response quality scoring
SurveySparrow
Customer Service Feedback Survey TemplateA conversational-style, generic customer service feedback template rather than one purpose-built around timeline clarity or status-update cadence. It offers a chat-like respondent experience but the flow is still a fixed script, not a dynamically adapting interview. Good for quick, friendly satisfaction pulses rather than root-cause communication diagnostics.
잘하는 점
- Conversational, chat-style UI that may increase completion rates
- Quick-to-deploy generic customer service template
- Mobile-friendly presentation format
아쉬운 점
- No true adaptive AI interviewing — the conversational tone is a UI style, not a dynamic follow-up mechanism
- No voice AI interview option or guided screen-share task
- No automated per-response quality scoring or transparent prompt methodology
Typeform
Customer Service Feedback Form TemplateA polished, generic customer service feedback form rather than a template targeting ETA clarity or status communication specifically. Typeform's product is known for clean UX and conditional logic branching, making it easy to build a pleasant-feeling form. It remains a fixed-question form, not an interview that adapts based on what a respondent says.
잘하는 점
- Well-known for clean, high-conversion form design and branching logic
- Easy to customize visually for brand consistency
- Simple to deploy for quick feedback collection
아쉬운 점
- No adaptive AI-driven follow-up interview capability — logic is pre-set, not generated from responses
- No voice AI interview or guided screen-share task option
- No automated quality scoring of individual responses or auto-generated analytical report
설문을 공개할 준비가 되셨나요?
이 템플릿을 편집기에서 열어 보세요. 첫 응답자가 보기 전에 모든 부분을 원하는 대로 바꿀 수 있습니다.