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.
What's Included
AI-Powered Questions
Intelligent follow-up questions based on responses
Automated Analysis
Real-time sentiment and insight detection
Smart Distribution
Target the right audience automatically
Detailed Reports
Comprehensive insights and recommendations
Template Overview
19
Questions
AI-Powered
Smart Analysis
Ready-to-Use
Launch in Minutes
This professionally designed survey template helps you gather valuable insights with intelligent question flow and automated analysis.
Sample Survey Items
Q1
Chat 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.
Q2
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
Q3
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
Q4
Opinion Scale
In the past 60 days, I could quickly locate relevant datasets in the catalog.
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.
Drag to order (top = most important)
Keyword search
Browsing categories or tags
Filtering by domain or team
Saved or bookmarked datasets
Recommendations from colleagues
Direct links from documentation or wikis
Q6
Opinion Scale
In the past 60 days, ownership for the datasets I used was clearly identified.
Rank the following factors by how much they influence your trust in catalog data, from most to least important.
Drag to order (top = most 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
Q11
Ranking
Rank your biggest catalog obstacles in the past 60 days, from most to least impactful.
Drag to order (top = most important)
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
Q12
Opinion Scale
How likely are you to recommend the data catalog to a teammate?
Range: 0 – 10
Min: Not at all likelyMid: NeutralMax: Extremely likely
Q13
Long Text
What one change would most improve findability, ownership clarity, or trust in the data catalog?
Max chars
Q14
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.
AI InterviewLength: 2Personality: [Object Object]Mode: Fast
Reference questions: 5
Q15
Multiple Choice
Which best describes your primary role?
Data analyst
Data scientist
Data engineer
Analytics / BI developer
Product manager
Software engineer
Operations
Other
Q16
Multiple Choice
Which business area do you primarily support?
Finance
Marketing
Sales
Product
Engineering
Operations
HR
Customer Support
Other
Q17
Multiple Choice
Where are you primarily located?
Americas
EMEA
APAC
Remote or varied
Q18
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
Q19
Chat Message
Thank you for your time — your feedback will directly inform catalog improvements. Results will be shared in aggregate with the data governance team.
Frequently Asked Questions
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