Measures data practitioners' confidence in lineage accuracy, impact analysis efficiency, and tooling gaps. Designed for data engineering, analytics, and platform teams to identify high-priority improvements to lineage infrastructure and workflows.
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AI-Powered Questions
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Template Overview
26
Questions
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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 Lineage Trust & Impact Analysis Survey.
This survey explores your experience with data lineage tools and impact analysis workflows over the last 30 days. Your responses will help identify opportunities to improve lineage accuracy, tooling, and change management processes.
Participation is voluntary and you may stop at any time. All responses are confidential and will be reported in aggregate only. There are no right or wrong answers — we are interested in your honest experience.
Estimated time: 7–9 minutes.
Q2
Dropdown
In the last 30 days, how often did you use data lineage or impact analysis tools?
Daily
Several times a week
Weekly
Every few weeks
Monthly or less
I did not use them in the last 30 days
Q3
Multiple Choice
Which systems did you use for data lineage or impact analysis in the last 30 days? Select all that apply.
Data catalog (e.g., DataHub, Collibra, Alation)
dbt docs
OpenLineage-based tooling
In-house lineage service
BI lineage (e.g., Looker, Power BI, Tableau)
Graph database or store
Custom SQL or notebooks
Other (please specify)
Q4
Opinion Scale
Overall, how much do you trust the accuracy of data lineage for your work over the last 30 days?
Range: 1 – 7
Min: Not at allMid: NeutralMax: Completely
Q5
Opinion Scale
How confident are you in the accuracy of column-level lineage information you have access to?
Range: 1 – 7
Min: Not at all confidentMid: NeutralMax: Extremely confident
Q6
Opinion Scale
How confident are you in lineage coverage across different systems and platforms in your organization?
Range: 1 – 7
Min: Not at all confidentMid: NeutralMax: Extremely confident
Q7
Opinion Scale
How confident are you in the timeliness of lineage updates (i.e., that lineage reflects recent changes)?
Range: 1 – 7
Min: Not at all confidentMid: NeutralMax: Extremely confident
Q8
Opinion Scale
How confident are you in the accuracy of ownership and contact metadata associated with lineage?
Range: 1 – 7
Min: Not at all confidentMid: NeutralMax: Extremely confident
Q9
Dropdown
In the last 30 days, approximately how many times did lineage inaccuracies or gaps cause you to redo work?
0 times
1–2 times
3–5 times
6–10 times
11 or more times
Not sure
Q10
Opinion Scale
How would you rate the speed of completing a typical impact analysis over the last 30 days?
Range: 1 – 7
Min: Far too slowMid: NeutralMax: Very fast
Q11
Multiple Choice
Which best describes the focus of your most recent impact analysis in the last 30 days?
Upstream schema change
Downstream dashboard or report change
Production incident or root-cause analysis
Cost or performance optimization
Access or governance change
Other (please specify)
Q12
Opinion Scale
For your most recent impact analysis, how confident were you that you identified all affected assets?
Range: 1 – 7
Min: Not at all confidentMid: NeutralMax: Completely confident
Q13
Dropdown
On average, approximately how long did it take you to complete an impact analysis over the last 30 days?
Under 15 minutes
15–30 minutes
31–60 minutes
1–2 hours
More than 2 hours
Not sure
Q14
Multiple Choice
What are the biggest blockers to trustworthy lineage and efficient impact analysis for you? Select all that apply.
Incomplete coverage
Stale or delayed updates
Unclear ownership or contacts
Low metadata quality
Tool usability or learnability
Missing column-level lineage
Access or permissions issues
Query parsing limitations
Competing priorities or time constraints
Other (please specify)
Q15
Multiple Choice
Which methods do you use to validate or cross-check lineage information when making decisions? Select all that apply.
Compare with query logs
Manual SQL tracing
Ask a subject matter expert
Review dbt tests or data tests
Graph traversal checks
Cross-environment diffs
Other (please specify)
I don't validate lineage
Q16
Dropdown
What lineage update freshness do you typically need to trust lineage data for impact analysis?
Real-time (under 5 minutes)
Hourly
Daily
Weekly
No strict requirement
Q17
Ranking
Rank the following outcomes by importance for your work (drag to reorder; 1 = most important).
Drag to order (top = most important)
Accurate coverage
Faster impact scoping
Fewer false positives
Ease of use
Clear ownership links
Proactive change alerts
Q18
Long Text
If you could change one thing to improve lineage trust or impact analysis at your organization, what would it be?
Max chars
Q19
Long Text
Briefly describe a recent case (within the last 30 days) where lineage information either helped or misled your analysis. What happened, and how was it resolved?
Max chars
Q20
AI Interview
Thank you for sharing your experiences. I'd like to explore a few of your answers in more depth. Based on what you've shared, could you walk me through a specific moment where lineage data influenced a decision you made — and what the outcome was?
AI InterviewLength: 2Personality: [Object Object]Mode: Fast
Reference questions: 5
Q21
Dropdown
What is your primary role?
Data engineer
Analytics engineer
Data analyst / BI developer
Data scientist / ML practitioner
Data platform / Infrastructure
Product manager
People manager / Leader
Other
Q22
Dropdown
How many years have you worked with data professionally?
Less than 1 year
1–2 years
3–5 years
6–10 years
11+ years
Prefer not to say
Q23
Dropdown
Approximately how large is your organization?
1–49
50–249
250–999
1,000–4,999
5,000+
Prefer not to say
Q24
Dropdown
Which industry best describes your organization?
Technology
Financial services
Retail / CPG
Healthcare / Life sciences
Manufacturing
Media / Entertainment
Public sector / Education
Other
Prefer not to say
Q25
Dropdown
Which region do you primarily work in?
North America
Europe
Asia
Latin America
Middle East / Africa
Oceania
Prefer not to say
Q26
Chat Message
Thank you for completing this survey. Your feedback will directly inform improvements to lineage tooling and workflows. If you have any questions, please contact [survey administrator email].
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