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Data Lineage Trust & Impact Analysis Survey Template

Measure trust in data lineage accuracy and impact analysis effectiveness. Spot change risks, streamline workflows, and prioritize fixes. Ready-to-use survey.

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Sample Survey Items

Q1
dropdown
In the last 30 days, how often did you use lineage or impact analysis tools?
Q2
multiple choice
Which systems did you use for 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/store
  • Custom SQL or notebooks
Q3
opinion scale
Overall, how much do you trust the accuracy of lineage for your work in the last 30 days?
Q4
matrix
Rate your confidence in the following lineage aspects over the last 30 days.
Q5
numeric
How many times did lineage inaccuracies or gaps cause rework in the last 30 days?
Q6
rating
How would you rate the speed of your typical impact analysis over the last 30 days?
Q7
multiple choice
Which best describes your most recent impact analysis in the last 30 days?
  • Upstream schema change
  • Downstream dashboard/report change
  • Production incident/root-cause analysis
  • Cost or performance optimization
  • Access/governance change
Q8
opinion scale
For your most recent impact analysis, how confident were you that you identified all affected assets?
Q9
numeric
On average over the last 30 days, how many minutes did you spend to complete an impact analysis?
Q10
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/contacts
  • Low metadata quality
  • Tool usability/learnability
  • Missing column-level lineage
  • Access/permissions issues
  • Query parsing limitations
  • Competing priorities/time constraints
Q11
multiple choice
Which methods do you use to validate or cross-check lineage 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
  • I don't validate
Q12
dropdown
What lineage update freshness do you typically need to trust changes for impact analysis?
Q13
dropdown
Attention check: To help ensure data quality, please select "I am paying attention".
Q14
ranking
Rank the following outcomes by importance for your work (1 = most important).
Q15
short text
If you could change one thing to improve trust or impact analysis, what would it be?
Max 100 chars
Q16
dropdown
What is your primary role?
Q17
dropdown
How many years have you worked with data professionally?
Q18
dropdown
Approximately how large is your organization?
Q19
dropdown
Which industry best describes your organization?
Q20
dropdown
Which region do you primarily work in?
Q21
chat message
Welcome! This survey asks about your use of lineage and impact analysis over the last 30 days. Please answer based on your own experience.
Q22
long text
Briefly describe a recent case (last 90 days) where lineage helped or misled your analysis. What happened, and how was it resolved?
Max 600 chars
Q23
ai interview
AI Interview: 2 Follow-up Questions on Your Responses
AI Interview
Q24
chat message
Thank you for completing the survey. Your feedback is appreciated!

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Data Lineage Trust & Impact Analysis Survey Template - Survey Template | QuestionPunk