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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.

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AI-Powered Questions

Intelligent follow-up questions based on responses

Automated Analysis

Real-time sentiment and insight detection

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Comprehensive insights and recommendations

Template Overview

21

Questions

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This professionally designed survey template helps you gather valuable insights with intelligent question flow and automated analysis.

Sample Survey Items

Q1
Chat Message
Welcome, and thank you for participating. This short survey asks about your experiences with IT service levels and incident handling over the past 90 days. It should take approximately 5 minutes. Your participation is entirely voluntary and you may stop at any time. There are no right or wrong answers—we are interested in your honest opinions. All responses are confidential and will be reported only in aggregate to improve IT service quality.
Q2
Multiple Choice
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)
Q3
Dropdown
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
Q4
Dropdown
Approximately how many distinct IT incidents affected your work in the past 90 days?
  • 0
  • 1–2
  • 3–5
  • 6–10
  • More than 10
Q5
Opinion Scale
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.
Range: 1 7
Min: Strongly disagreeMid: NeutralMax: Strongly agree
Q6
Opinion Scale
To what extent do you agree: I was proactively informed when an SLA was at risk of being breached.
Range: 1 7
Min: Strongly disagreeMid: NeutralMax: Strongly agree
Q7
Opinion Scale
To what extent do you agree: When SLAs were at risk, appropriate escalation procedures were followed.
Range: 1 7
Min: Strongly disagreeMid: NeutralMax: Strongly agree
Q8
Opinion Scale
In the past 90 days, how often were SLAs breached for your requests or incidents?
Range: 1 5
Min: NeverMid: NeutralMax: Very often
Q9
Dropdown
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
Q10
Multiple Choice
Which channels did you use to report incidents in the past 90 days? (Select all that apply)
  • Ticketing system
  • Chat (Slack / Teams)
  • Email
  • Phone / hotline
  • Walk-up / in-person
  • Automated monitoring alert
  • Other (please specify)
Q11
Opinion Scale
How smoothly were handoffs between teams managed during incident resolution in the past 90 days?
Range: 1 7
Min: Very poorlyMid: NeutralMax: Very smoothly
Q12
Opinion Scale
To what extent do you agree: Root-cause analyses conducted in the past 90 days led to meaningful prevention of recurring incidents.
Range: 1 7
Min: Strongly disagreeMid: NeutralMax: Strongly agree
Q13
Long Text
Briefly describe a recent incident that was handled well. What worked?
Max chars
Q14
Opinion Scale
Overall, how satisfied are you with IT incident handling in the past 90 days?
Range: 1 7
Min: Very dissatisfiedMid: NeutralMax: Very satisfied
Q15
Ranking
Please rank the following improvement opportunities for incident handling from highest to lowest priority.
Drag to order (top = most important)
  1. Faster triage and prioritization
  2. Clearer ownership and roles
  3. Better communication during incidents
  4. Stronger on-call coverage
  5. Higher-quality post-incident reviews
  6. Improved tooling and automation
Q16
Long Text
If you could change one thing to improve IT service levels, what would it be?
Max chars
Q17
AI Interview
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.
AI InterviewLength: 2Personality: [Object Object]Mode: Fast
Reference questions: 4
Q18
Dropdown
What is your primary role?
  • Individual contributor
  • People manager
  • Executive / leader
  • Project / program manager
  • Product manager
  • Engineer / analyst
  • Other
Q19
Dropdown
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
Q20
Dropdown
Where are you primarily located?
  • Americas
  • EMEA
  • APAC
  • Remote – multiple regions
  • Prefer not to say
Q21
Chat Message
Thank you for your time. Your input will directly help us improve IT service reliability and incident response. Results will be reported in aggregate.

Frequently Asked Questions

What is QuestionPunk?
QuestionPunk is an AI-powered survey and research platform that turns traditional surveys into adaptive conversations. Describe your research goal and get a complete survey draft, conduct AI-moderated interviews with dynamic follow-ups, detect low-quality responses, and produce insights automatically. It's fast, flexible, and scalable across qualitative and quantitative research.
How do I create my first survey?
Sign up, then choose how to build: describe your research goal and let AI generate a survey, pick a template, or start from scratch. Add question types, set logic, preview, and share.
Can the AI generate a survey from a prompt?
Yes. Describe your research goal in plain language and QuestionPunk drafts a complete survey with appropriate question types, ordering, and AI follow-up logic. You can then customize before publishing.
What question types are available?
QuestionPunk supports a wide range of question types: opinion scale, rating, multiple choice, dropdown, ranking, matrix, constant sum, AI interview (text and audio), long text, short text, email, phone, date, address, website, numeric, audio/video recording, contact form, chat message, conversation reset, button, page breaks, and more.
How do AI interviews work?
AI interviews conduct adaptive conversations with respondents. The AI asks follow-up questions based on what the respondent says, probing for clarity and depth. You control the personality, tone, model (Haiku, Sonnet, or Opus), and question mode (fixed count, AI decides when to stop, or time-based).
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Yes. Use synthetic testing to create AI personas and run them through your survey. This helps catch issues with question flow, logic, and wording before real respondents see it.
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Can I export survey results?
Yes. Export as CSV (flat or wide layout), Excel (XLSX), or export the survey structure as PDF/Word. Filter by suspicious level, response type, language, or date range before exporting.
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What are the pricing plans?
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