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Operations & Data

Data Catalog Governance Health Survey: Findability, Ownership & Trust

Diagnoses catalog discoverability, ownership clarity, and data trust across teams. Designed for internal data practitioners to identify governance gaps and prioritize catalog improvements using NPS and behavioral metrics.

Sample questions

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

19 questions · ~9 min
Q01
Message

Welcome! This brief survey (approximately 8 minutes) asks about your experience with the data catalog — specifically how easy it is to find data, how clear dataset ownership is, and how much you trust the data you find. Your responses are confidential and will be reported only in aggregate to inform catalog improvements. Participation is voluntary, there are no right or wrong answers, and you may stop at any time. Please answer based on your experience in the past 60 days. Thank you for helping us improve.

Q02
Multiple Choice

In the past 60 days, how often did you use the data catalog?

  • Daily
  • Several times a week
  • About once a week
  • A few times total
  • Once
  • Not in the past 60 days
Q03
Opinion Scale

In the past 60 days, I could quickly locate relevant datasets in the catalog.

Scale: 17
Min:Strongly disagreeMax:Strongly agree
Q04
Opinion Scale

In the past 60 days, ownership for the datasets I used was clearly identified.

Scale: 17
Min:Strongly disagreeMax:Strongly agree
Q05
Opinion Scale

In the past 60 days, I trusted the quality of data found through the catalog.

Scale: 17
Min:Strongly disagreeMax:Strongly agree
Q06
Opinion Scale

How likely are you to recommend the data catalog to a teammate?

Scale: 010
Min:Not at all likelyMax:Extremely likely
Q07
Multiple Choice

Which best describes your primary role?

  • Data analyst
  • Data scientist
  • Data engineer
  • Analytics / BI developer
  • Product manager
  • Software engineer
  • Operations
  • Other
Q08
Message

Thank you for your time — your feedback will directly inform catalog improvements. Results will be shared in aggregate with the data governance team.

Q09
Dropdown

On your most recent catalog task in the past 60 days, approximately how long did it take to find what you needed?

  • Less than 2 minutes
  • 2–5 minutes
  • 6–10 minutes
  • 11–20 minutes
  • 21–30 minutes
  • More than 30 minutes
  • I couldn't find what I needed
  • Not applicable — I haven't searched recently
Q10
Ranking

Rank the following catalog discovery methods from most to least effective based on your experience in the past 60 days. Place methods you haven't used at the bottom.

  1. Keyword search
  2. Browsing categories or tags
  3. Filtering by domain or team
  4. Saved or bookmarked datasets
  5. Recommendations from colleagues
  6. Direct links from documentation or wikis
Drag to rank
Q11
Multiple Choice

In the past 60 days, where have you found dataset owner or steward information? Select all that apply.

  • Listed in the catalog entry
  • Team or data wiki
  • ServiceNow or Jira ticket
  • Asked colleagues (e.g., Slack, email)
  • I usually couldn't find an owner
Q12
Ranking

Rank the following factors by how much they influence your trust in catalog data, from most to least important.

  1. Data freshness and recency
  2. Documented lineage and transformations
  3. Clear ownership and stewardship
  4. Completeness of metadata
  5. Validation or certification badges
  6. Peer recommendations or usage popularity
Drag to rank
Q13
Long Text

What one change would most improve findability, ownership clarity, or trust in the data catalog?

Q14
Multiple Choice

Which business area do you primarily support?

  • Finance
  • Marketing
  • Sales
  • Product
  • Engineering
  • Operations
  • HR
  • Customer Support
  • Other
Q15
Multiple Choice

In the past 60 days, how often was ownership information outdated or missing?

  • Never
  • Rarely
  • Sometimes
  • Often
  • Very often
Q16
Ranking

Rank your biggest catalog obstacles in the past 60 days, from most to least impactful.

  1. Search relevance or precision
  2. Sparse or outdated metadata
  3. Unclear ownership
  4. Access or permissions hurdles
  5. Slow performance or downtime
  6. Interface is hard to navigate
  7. Too many duplicate or similar datasets
Drag to rank
Q17
AI Interview

Based on your responses, we'd like to explore a few of your experiences with the data catalog in more depth. Please share as much detail as you're comfortable with.

Q18
Multiple Choice

Where are you primarily located?

  • Americas
  • EMEA
  • APAC
  • Remote or varied
Q19
Dropdown

How long have you been using the data catalog?

  • Less than 3 months
  • 3–6 months
  • 7–12 months
  • 1–2 years
  • More than 2 years

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.

Why this template

What this template is built to do — we found no directly comparable template from other survey tools to review.

What sets it apart

  • Includes behavioral usage questions (60-day catalog usage frequency, task duration) alongside perception-based opinion scales on findability, ownership clarity, and trust
  • Uses NPS (likelihood to recommend the catalog) combined with ranking questions on discovery methods, trust factors, and obstacles for prioritization
  • Adaptive AI follow-up interview module probes deeper into specific respondent experiences after the structured questions, something static form builders cannot do
  • Captures role, business area, and location segmentation plus an open-text question for improvement suggestions, feeding into an auto-generated report

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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