IT SLA Compliance & Incident Handling Stakeholder Survey
Collects structured stakeholder feedback on SLA adherence, incident resolution quality, and improvement priorities over a 90-day window to identify service gaps and guide operational improvements.
샘플 질문
템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.
Which of the following functions do you primarily collaborate with regarding IT services? (Select all that apply)
- IT operations
- Customer support
- Engineering / platform
- Security
- Data / analytics
- Procurement / vendor management
- Other (please specify)
To what extent do you agree: SLA commitments (e.g., response and resolution times) were consistently met for my requests in the past 90 days.
Which channels did you use to report incidents in the past 90 days? (Select all that apply)
- Ticketing system
- Chat (Slack / Teams)
- Phone / hotline
- Walk-up / in-person
- Automated monitoring alert
- Other (please specify)
Overall, how satisfied are you with IT incident handling in the past 90 days?
What is your primary role?
- Individual contributor
- People manager
- Executive / leader
- Project / program manager
- Product manager
- Engineer / analyst
- Other
Thank you for your time. Your input will directly help us improve IT service reliability and incident response. Results will be reported in aggregate.
In the past 90 days, how often did you interact with the IT service team?
- Daily
- Several times a week
- Weekly
- A few times a month
- Monthly
- Less than monthly
- Not in the past 90 days
To what extent do you agree: I was proactively informed when an SLA was at risk of being breached.
How smoothly were handoffs between teams managed during incident resolution in the past 90 days?
Please rank the following improvement opportunities for incident handling from highest to lowest priority.
- Faster triage and prioritization
- Clearer ownership and roles
- Better communication during incidents
- Stronger on-call coverage
- Higher-quality post-incident reviews
- Improved tooling and automation
How long have you been with the organization?
- Less than 6 months
- 6–12 months
- 1–3 years
- 3–5 years
- More than 5 years
Approximately how many distinct IT incidents affected your work in the past 90 days?
- 0
- 1–2
- 3–5
- 6–10
- More than 10
To what extent do you agree: When SLAs were at risk, appropriate escalation procedures were followed.
To what extent do you agree: Root-cause analyses conducted in the past 90 days led to meaningful prevention of recurring incidents.
If you could change one thing to improve IT service levels, what would it be?
Where are you primarily located?
- Americas
- EMEA
- APAC
- Remote – multiple regions
- Prefer not to say
In the past 90 days, how often were SLAs breached for your requests or incidents?
Briefly describe a recent incident that was handled well. What worked?
Based on your survey responses, please share any additional thoughts about your experience with IT service levels or incident handling. An AI moderator may ask brief follow-up questions.
Thinking about high-priority incidents you experienced in the past 90 days, what was the typical time to first response?
- Under 15 minutes
- 15–30 minutes
- 30–60 minutes
- 1–4 hours
- More than 4 hours
- Not sure / not applicable
포함된 기능
AI 후속 질문
정형화된 설문이 놓치는 세부 내용을, 주관식 답변에 맞춰 AI가 심층 질문으로 끌어냅니다.
주의력 확인 장치
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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
- Focuses specifically on IT SLA compliance and incident handling with a 90-day recall window, not generic service quality
- Includes structured multiple-choice, dropdown, opinion-scale, and ranking questions covering SLA adherence, escalation, root-cause analysis, and improvement priorities
- Uses an AI follow-up interview question that adapts to each respondent's prior answers to surface additional context on their experience
- Captures both quantitative signals (breach frequency, satisfaction, ranked priorities) and qualitative detail (incidents handled well, one change to improve service) plus role/tenure/location segmentation
SurveySparrow
Service Quality Questionnaire TemplateA general-purpose service quality feedback template rather than one built specifically around SLA breach tracking or incident escalation. It's a fielding-ready static questionnaire that can be adapted to an IT context but doesn't natively address SLA thresholds or root-cause analysis.
잘하는 점
- Ready-to-deploy questionnaire format
- Broadly applicable across service industries
- Simple structure likely easy for respondents to complete quickly
아쉬운 점
- No adaptive AI follow-up probing on individual answers
- No SLA-specific or incident-escalation question logic built in
- No automated per-response quality scoring or auto-generated analysis report
QuestionPro
15 Service Quality Survey Questions + Sample Questionnaire TemplateThis page reads as an educational guide with a list of sample service-quality questions and an embedded sample questionnaire, rather than a purpose-built, ready-to-field SLA/incident survey. Useful for question inspiration but requires manual assembly into a working IT-specific instrument.
잘하는 점
- Provides a broad bank of service-quality question examples
- Explains rationale behind question types, useful for DIY survey building
- Backed by an established survey platform for distribution
아쉬운 점
- Presented as a guide/sample list rather than a deployable, IT-SLA-specific template
- No adaptive AI interviewing or voice AI option
- No built-in automated quality scoring or incident-handling-specific reporting
SurveyMonkey
Incident Report Form TemplateA generic incident-reporting form aimed at logging incident details rather than gathering stakeholder perception of SLA compliance and improvement priorities over a defined period. It's a static, fielding-ready form well suited to intake logging but not stakeholder sentiment analysis.
잘하는 점
- Fielding-ready and simple for quick incident intake
- Familiar, trusted survey platform with broad distribution options
- Straightforward structure for capturing basic incident facts
아쉬운 점
- No SLA-compliance or 90-day trend framing
- Static form with no adaptive AI follow-up or voice interview capability
- No automated per-response quality scoring or auto-generated improvement report
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