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Internal Data Product SLA Expectations Survey

Captures stakeholder expectations for data product availability, freshness, and quality to inform internal SLO/SLA definitions. Designed for data consumers across engineering, analytics, and business teams.

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Sample questions

A preview of what’s in the template. Every question is editable before you launch.

17 questions · ~4 min
Q01
Long Text

Thank you for participating in this survey about our internal data products. We're gathering your expectations around reliability (uptime), data freshness, and data quality to set clear, realistic service-level targets. This survey takes approximately 5 minutes. Your participation is voluntary and you may stop at any time. Responses will be anonymized and reported in aggregate to the data platform team. There are no right or wrong answers—we simply want your honest expectations.

Q02
Long Text

How often do you use internal data products (dashboards, datasets, pipelines) in your work?

Q03
Multiple Choice

What minimum monthly availability (uptime) do you expect from the data products you rely on?

Q04
Long Text

What is the minimum acceptable overall data accuracy rate for your production use?

Q05
Multiple Choice

How quickly should we notify you when a data incident is detected?

Q06
AI Interview

Based on your responses, is there anything else we should consider about your data reliability, freshness, or quality expectations? Please share any additional context, pain points, or priorities.

Q07
Multiple Choice

What is your primary role?

Q08
Long Text

Thank you for your input. Your responses will help us define clear, realistic service-level targets for our internal data products. We expect to share proposed SLOs with stakeholders within the coming weeks.

Q09
Long Text

How critical are internal data products for completing your work on time?

Q10
Multiple Choice

Which planned maintenance windows are acceptable to you? Select all that apply.

Q11
Long Text

What is the maximum acceptable duplicate record rate in datasets delivered to you?

Q12
Multiple Choice

What are your preferred channels for incident and maintenance notifications? Select all that apply.

Q13
Long Text

Which team or department are you part of?

Q14
Multiple Choice

What data freshness (maximum acceptable lag) do you require for your primary workflows?

Q15
Long Text

Please rank the following data quality dimensions by importance to your work (drag to reorder, 1 = most important).

Q16
Long Text

How many years of experience do you have working with data in your current or similar roles?

Q17
Long Text

What is your primary working time zone?

What’s included

  • AI follow-ups

    Adaptive probes on open-ended answers that pull out detail a static form would miss.

  • Attention checks

    Built-in safeguards against rushed answers and low-quality respondents.

  • AI-drafted copy

    Wording, ordering, and branching written by the AI — tuned to your research goal.

  • Auto report

    Themes, quotes, and a plain-English summary write themselves once responses come in.

Ready to launch?

Open this template in the editor. Every part is yours to change before the first respondent sees it.

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