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Data Asset Discoverability, Documentation & Trust Survey

Measure data asset discovery, documentation quality, and trust across your org. Reveal gaps in metadata and lineage. For analytics teams. 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

Sample Survey Items

Q1
multiple choice
In the past 30 days, did you access or evaluate any data assets (tables, dashboards, or reports)?
  • Yes, in the past 30 days
  • No, not in the past 30 days
Q2
multiple choice
What, if anything, prevented you from using data assets recently? 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
  • Other
Q3
opinion scale
Overall, how easy was it to find a suitable data asset in the past 30 days?
Q4
multiple choice
How did you discover the most recent data asset you used? Select all that apply.
  • Search in catalog/portal
  • Direct link or bookmark
  • Recommendation from a colleague
  • Browsed dashboards or reports
  • Wrote queries in the warehouse/lake
  • API documentation or SDKs
  • Other
Q5
opinion scale
When you search in the catalog/portal, how often do first-page results meet your needs?
Q6
multiple choice
For the last data asset you used, was documentation available?
  • Yes, comprehensive
  • Yes, partial
  • No
  • Not sure
Q7
matrix
Rate the quality of the documentation for that asset.
Q8
rating
How confident are you in the accuracy and reliability of that data asset?
Q9
ranking
Rank the top factors that influence your confidence in a data asset (drag to reorder).
Q10
opinion scale
How likely are you to reuse or recommend that data asset?
Q11
dropdown
What is the maximum acceptable data freshness for your typical analyses?
Q12
constant sum
Allocate 100 points across the areas that would most improve your experience.
Q13
multiple choice
What is your primary role?
  • Data analyst
  • Business analyst
  • Data scientist
  • Data engineer
  • Product manager
  • Operations
  • Other
Q14
multiple choice
Which domain/team do you primarily support?
  • Finance
  • Marketing
  • Sales
  • Product
  • Operations
  • IT
  • HR
  • Other
Q15
dropdown
How long have you been at your organization?
Q16
dropdown
Where are you primarily located?
Q17
opinion scale
How would you rate your experience with our data tools?
Q18
multiple choice
Attention check: To confirm you are paying attention, please select "I am paying attention."
  • I am paying attention
  • I am not paying attention
  • I prefer not to answer
Q19
long text
Anything else you’d like to share about finding, documenting, or trusting data assets?
Max 600 chars
Q20
ai interview
AI Interview: 2 Follow-up Questions on Data Asset Discoverability and Trust
AI Interview
Q21
chat message
Thank you for your time—your feedback will help us improve data discoverability, documentation, and trust across the organization.

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Data Asset Discoverability, Documentation & Trust Survey - Survey Template | QuestionPunk