All Templates

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.

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
Dropdown
In the last 30 days, how often did you use 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
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?
Range: 1 – 10
Min: Not at allMid: NeutralMax: Completely
Q4
Matrix
Rate your confidence in the following lineage aspects over the last 30 days.
RowsVery lowLowModerateHighVery high
Table-to-table connections•••••
Column-level mapping•••••
Job/task lineage (ETL/ELT)•••••
Cross-platform links (e.g., warehouse to BI)•••••
Update freshness/timeliness•••••
Q5
Numeric
How many times did lineage inaccuracies or gaps cause rework in the last 30 days?
Accepts a numeric value
Whole numbers only
Q6
Rating
How would you rate the speed of your typical impact analysis over the last 30 days?
Scale: 10 (star)
Min: Very slowMax: Very fast
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?
Range: 1 – 10
Min: Not confidentMid: NeutralMax: Very confident
Q9
Numeric
On average over the last 30 days, how many minutes did you spend to complete an impact analysis?
Accepts a numeric value
Whole numbers only
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?
  • Real-time (<5 minutes)
  • Hourly
  • Daily
  • Weekly
  • No strict requirement
Q13
Dropdown
Attention check: To help ensure data quality, please select "I am paying attention".
  • I am paying attention
  • I am not paying attention
  • Prefer not to say
Q14
Ranking
Rank the following outcomes by importance for your work (1 = most important).
Drag to order (top = most important)
  1. Accurate coverage
  2. Faster impact scoping
  3. Fewer false positives
  4. Ease of use
  5. Clear ownership links
  6. Proactive change alerts
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?
  • Data engineer
  • Analytics engineer
  • Data analyst / BI developer
  • Data scientist / ML practitioner
  • Data platform / Infrastructure
  • Product manager
  • People manager / Leader
  • Other
Q17
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
Q18
Dropdown
Approximately how large is your organization?
  • 1–49
  • 50–249
  • 250–999
  • 1,000–4,999
  • 5,000+
  • Prefer not to say
Q19
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
Q20
Dropdown
Which region do you primarily work in?
  • North America
  • Europe
  • Asia
  • Latin America
  • Middle East / Africa
  • Oceania
  • Prefer not to say
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 InterviewLength: 2Personality: Expert InterviewerMode: Fast
Q24
Chat Message
Thank you for completing the survey. Your feedback is appreciated!

Ready to Get Started?

Launch your survey in minutes with this pre-built template

Use This TemplateBrowse More Templates