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.
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
In the past 60 days, I could quickly locate relevant datasets in the catalog.
In the past 60 days, ownership for the datasets I used was clearly identified.
In the past 60 days, I trusted the quality of data found through the catalog.
How likely are you to recommend the data catalog to a teammate?
Which best describes your primary role?
- Data analyst
- Data scientist
- Data engineer
- Analytics / BI developer
- Product manager
- Software engineer
- Operations
- Other
Thank you for your time — your feedback will directly inform catalog improvements. Results will be shared in aggregate with the data governance team.
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
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.
- Keyword search
- Browsing categories or tags
- Filtering by domain or team
- Saved or bookmarked datasets
- Recommendations from colleagues
- Direct links from documentation or wikis
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
Rank the following factors by how much they influence your trust in catalog data, from most to least important.
- Data freshness and recency
- Documented lineage and transformations
- Clear ownership and stewardship
- Completeness of metadata
- Validation or certification badges
- Peer recommendations or usage popularity
What one change would most improve findability, ownership clarity, or trust in the data catalog?
Which business area do you primarily support?
- Finance
- Marketing
- Sales
- Product
- Engineering
- Operations
- HR
- Customer Support
- Other
In the past 60 days, how often was ownership information outdated or missing?
- Never
- Rarely
- Sometimes
- Often
- Very often
Rank your biggest catalog obstacles in the past 60 days, from most to least impactful.
- Search relevance or precision
- Sparse or outdated metadata
- Unclear ownership
- Access or permissions hurdles
- Slow performance or downtime
- Interface is hard to navigate
- Too many duplicate or similar datasets
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.
Where are you primarily located?
- Americas
- EMEA
- APAC
- Remote or varied
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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