Data Asset Discoverability, Documentation & Trust Survey
Measures how easily analytics teams can find, evaluate, and trust data assets across the organization, revealing gaps in metadata, documentation, and lineage practices. Designed for data and analytics professionals; estimated 6–8 minutes.
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
25
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 to the Data Asset Discoverability, Documentation & Trust Survey.
This survey explores how you find, evaluate, and trust data assets in your organization. Your responses will help us identify gaps and improve the data experience for everyone.
There are no right or wrong answers — we are interested in your honest opinions and experiences. Your responses are confidential and will be reported only in aggregate. Participation is voluntary, and you may stop at any time.
Estimated time: 6–8 minutes.
Q2
Multiple Choice
In the past 30 days, have you accessed or evaluated any data assets (e.g., tables, dashboards, or reports)?
Yes, in the past 30 days
No, not in the past 30 days
Q3
Opinion Scale
How would you rate your proficiency with your organization's data tools?
Range: 1 – 5
Min: NoviceMid: NeutralMax: Expert
Q4
Opinion Scale
Overall, how easy or difficult was it to find a suitable data asset in the past 30 days?
Range: 1 – 7
Min: Very difficultMid: NeutralMax: Very easy
Q5
Multiple Choice
In the past 30 days, what challenges, if any, did you encounter when trying to use data assets? Select all that apply.
I didn't know where to search
Too many similar datasets to compare
Access or permissions were unclear
I couldn't identify a data owner
Relevant documentation was missing or unclear
The tools were hard to use
Time constraints
None — I didn't encounter challenges
Other
Q6
Multiple Choice
How did you discover the most recent data asset you used? Select all that apply.
Search in data catalog or portal
Direct link or bookmark
Recommendation from a colleague
Browsed dashboards or reports
Wrote queries in the data warehouse or lake
API documentation or SDKs
Other
Q7
Opinion Scale
When you search in your organization's data catalog or portal, how often do the first-page results meet your needs?
Range: 1 – 5
Min: NeverMid: NeutralMax: Always
Q8
Multiple Choice
For the last data asset you used, was documentation available?
Yes, comprehensive
Yes, partial
No
Not sure
Q9
Opinion Scale
How would you rate the completeness of the documentation for that data asset?
Range: 1 – 7
Min: Very incompleteMid: NeutralMax: Very complete
Q10
Opinion Scale
How would you rate the clarity of the documentation for that data asset?
Range: 1 – 7
Min: Very unclearMid: NeutralMax: Very clear
Q11
Opinion Scale
How would you rate the recency (up-to-dateness) of the documentation for that data asset?
Range: 1 – 7
Min: Very outdatedMid: NeutralMax: Very up to date
Q12
Opinion Scale
How would you rate the lineage and provenance information in the documentation for that data asset?
Range: 1 – 7
Min: Very poorMid: NeutralMax: Very thorough
Q13
Opinion Scale
How confident are you in the accuracy and reliability of the last data asset you used?
Range: 1 – 7
Min: Not at all confidentMid: NeutralMax: Extremely confident
Q14
Ranking
Rank the following factors by how much they influence your confidence in a data asset. Drag to reorder from most to least important.
Drag to order (top = most important)
Documentation completeness
Data freshness / low latency
Historical stability of values
Data owner responsiveness
Provenance and lineage clarity
Quality monitoring and alerts
Q15
Opinion Scale
How likely are you to reuse this data asset for future analyses?
Range: 1 – 7
Min: Very unlikelyMid: NeutralMax: Very likely
Q16
Opinion Scale
How likely are you to recommend this data asset to a colleague?
Range: 1 – 7
Min: Very unlikelyMid: NeutralMax: Very likely
Q17
Dropdown
What is the maximum acceptable data freshness (latency) for your typical analyses?
Real-time (seconds)
Hourly
Daily
Weekly
Monthly
Quarterly or less frequent
Not sure
Q18
Ranking
Rank the following areas by how much they would improve your data experience. Drag to reorder from most to least impactful.
Drag to order (top = most important)
Search relevance in the catalog/portal
Access and permissions clarity
Ownership and contact clarity
Documentation completeness
Lineage and provenance clarity
Quality monitoring and alerts
Tool usability and performance
Q19
Long Text
Based on your responses, is there anything else you'd like to share about finding, documenting, or trusting data assets in your organization?
Max chars
Q20
AI Interview
We'd like to understand your experience in more depth. An AI moderator will ask you a couple of follow-up questions about your data discovery and trust experience.
AI InterviewLength: 2Personality: [Object Object]Mode: Fast
Reference questions: 8
Q21
Multiple Choice
What is your primary role?
Data analyst
Business analyst
Data scientist
Data engineer
Product manager
Operations
Other
Q22
Multiple Choice
Which domain or team do you primarily support?
Finance
Marketing
Sales
Product
Operations
IT
HR
Other
Q23
Dropdown
How long have you been at your current organization?
Less than 6 months
6–12 months
1–2 years
3–5 years
6–10 years
More than 10 years
Q24
Dropdown
Where are you primarily located?
North America
Europe
Asia-Pacific
Latin America
Middle East & Africa
Prefer not to say
Q25
Chat Message
Thank you for your time — your feedback will directly help us improve data discoverability, documentation, and trust across the organization.
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