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Data Lineage Trust & Impact Analysis Survey

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.

Sample questions

A preview of what’s in the template. Every question is editable before you launch.

26 questions · ~4 min
Q01
Long Text

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.

Q02
Long Text

In the last 30 days, how often did you use data lineage or impact analysis tools?

Q03
Long Text

Overall, how much do you trust the accuracy of data lineage for your work over the last 30 days?

Q04
Long Text

How would you rate the speed of completing a typical impact analysis over the last 30 days?

Q05
Multiple Choice

What are the biggest blockers to trustworthy lineage and efficient impact analysis for you? Select all that apply.

Q06
Long Text

Rank the following outcomes by importance for your work (drag to reorder; 1 = most important).

Q07
Long Text

What is your primary role?

Q08
Long Text

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].

Q09
Multiple Choice

Which systems did you use for data lineage or impact analysis in the last 30 days? Select all that apply.

Q10
Long Text

How confident are you in the accuracy of column-level lineage information you have access to?

Q11
Multiple Choice

Which best describes the focus of your most recent impact analysis in the last 30 days?

Q12
Multiple Choice

Which methods do you use to validate or cross-check lineage information when making decisions? Select all that apply.

Q13
Long Text

If you could change one thing to improve lineage trust or impact analysis at your organization, what would it be?

Q14
Long Text

How many years have you worked with data professionally?

Q15
Long Text

How confident are you in lineage coverage across different systems and platforms in your organization?

Q16
Long Text

For your most recent impact analysis, how confident were you that you identified all affected assets?

Q17
Long Text

What lineage update freshness do you typically need to trust lineage data for impact analysis?

Q18
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?

Q19
Long Text

Approximately how large is your organization?

Q20
Long Text

How confident are you in the timeliness of lineage updates (i.e., that lineage reflects recent changes)?

Q21
Long Text

On average, approximately how long did it take you to complete an impact analysis over the last 30 days?

Q22
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?

Q23
Long Text

Which industry best describes your organization?

Q24
Long Text

How confident are you in the accuracy of ownership and contact metadata associated with lineage?

Q25
Long Text

Which region do you primarily work in?

Q26
Long Text

In the last 30 days, approximately how many times did lineage inaccuracies or gaps cause you to redo work?

What’s included

  • AI follow-ups

    Adaptive probes on open-ended answers that pull out detail a static form would miss.

  • Attention checks

    Built-in safeguards against rushed answers and low-quality respondents.

  • AI-drafted copy

    Wording, ordering, and branching written by the AI — tuned to your research goal.

  • Auto report

    Themes, quotes, and a plain-English summary write themselves once responses come in.

Ready to launch?

Open this template in the editor. Every part is yours to change before the first respondent sees it.