Data Asset Discoverability, Documentation & Trust Survey

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.

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

How would you rate your proficiency with your organization's data tools?

Overall, how easy or difficult was it to find a suitable data asset in the past 30 days?

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

For the last data asset you used, was documentation available?

• Yes, comprehensive
• Yes, partial
• No
• Not sure

How confident are you in the accuracy and reliability of the last data asset you used?

Rank the following areas by how much they would improve your data experience. Drag to reorder from most to least impactful.

1. Search relevance in the catalog/portal
2. Access and permissions clarity
3. Ownership and contact clarity
4. Documentation completeness
5. Lineage and provenance clarity
6. Quality monitoring and alerts
7. Tool usability and performance

Based on your responses, is there anything else you'd like to share about finding, documenting, or trusting data assets in your organization?

What is your primary role?

• Data analyst
• Business analyst
• Data scientist
• Data engineer
• Product manager
• Operations
• Other

Thank you for your time — your feedback will directly help us improve data discoverability, documentation, and trust across the organization.

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

When you search in your organization's data catalog or portal, how often do the first-page results meet your needs?

How would you rate the completeness of the documentation for that data asset?

Rank the following factors by how much they influence your confidence in a data asset. Drag to reorder from most to least important.

1. Documentation completeness
2. Data freshness / low latency
3. Historical stability of values
4. Data owner responsiveness
5. Provenance and lineage clarity
6. Quality monitoring and alerts

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.

Which domain or team do you primarily support?

• Finance
• Marketing
• Sales
• Product
• Operations
• IT
• HR
• Other

How would you rate the clarity of the documentation for that data asset?

How likely are you to reuse this data asset for future analyses?

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

How would you rate the recency (up-to-dateness) of the documentation for that data asset?

How likely are you to recommend this data asset to a colleague?

Where are you primarily located?

• North America
• Europe
• Asia-Pacific
• Latin America
• Middle East & Africa
• Prefer not to say

How would you rate the lineage and provenance information in the documentation for that data asset?

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