모든 템플릿

Data Catalog Governance Health Survey: Findability, Ownership & Trust

Diagnoses catalog discoverability, ownership clarity, and data trust across teams. Designed for internal data practitioners to identify governance gaps and prioritize catalog improvements using NPS and behavioral metrics.

샘플 질문

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질문 19개 · 약 9분
Q01
메시지

Welcome! This brief survey (approximately 8 minutes) asks about your experience with the data catalog — specifically how easy it is to find data, how clear dataset ownership is, and how much you trust the data you find. Your responses are confidential and will be reported only in aggregate to inform catalog improvements. Participation is voluntary, there are no right or wrong answers, and you may stop at any time. Please answer based on your experience in the past 60 days. Thank you for helping us improve.

Q02
객관식

In the past 60 days, how often did you use the data catalog?

  • Daily
  • Several times a week
  • About once a week
  • A few times total
  • Once
  • Not in the past 60 days
Q03
의견 척도

In the past 60 days, I could quickly locate relevant datasets in the catalog.

척도: 17
최소:Strongly disagree최대:Strongly agree
Q04
의견 척도

In the past 60 days, ownership for the datasets I used was clearly identified.

척도: 17
최소:Strongly disagree최대:Strongly agree
Q05
의견 척도

In the past 60 days, I trusted the quality of data found through the catalog.

척도: 17
최소:Strongly disagree최대:Strongly agree
Q06
의견 척도

How likely are you to recommend the data catalog to a teammate?

척도: 010
최소:Not at all likely최대:Extremely likely
Q07
객관식

Which best describes your primary role?

  • Data analyst
  • Data scientist
  • Data engineer
  • Analytics / BI developer
  • Product manager
  • Software engineer
  • Operations
  • Other
Q08
메시지

Thank you for your time — your feedback will directly inform catalog improvements. Results will be shared in aggregate with the data governance team.

Q09
드롭다운

On your most recent catalog task in the past 60 days, approximately how long did it take to find what you needed?

  • Less than 2 minutes
  • 2–5 minutes
  • 6–10 minutes
  • 11–20 minutes
  • 21–30 minutes
  • More than 30 minutes
  • I couldn't find what I needed
  • Not applicable — I haven't searched recently
Q10
순위 매기기

Rank the following catalog discovery methods from most to least effective based on your experience in the past 60 days. Place methods you haven't used at the bottom.

  1. Keyword search
  2. Browsing categories or tags
  3. Filtering by domain or team
  4. Saved or bookmarked datasets
  5. Recommendations from colleagues
  6. Direct links from documentation or wikis
드래그하여 순위 지정
Q11
객관식

In the past 60 days, where have you found dataset owner or steward information? Select all that apply.

  • Listed in the catalog entry
  • Team or data wiki
  • ServiceNow or Jira ticket
  • Asked colleagues (e.g., Slack, email)
  • I usually couldn't find an owner
Q12
순위 매기기

Rank the following factors by how much they influence your trust in catalog data, from most to least important.

  1. Data freshness and recency
  2. Documented lineage and transformations
  3. Clear ownership and stewardship
  4. Completeness of metadata
  5. Validation or certification badges
  6. Peer recommendations or usage popularity
드래그하여 순위 지정
Q13
장문형

What one change would most improve findability, ownership clarity, or trust in the data catalog?

Q14
객관식

Which business area do you primarily support?

  • Finance
  • Marketing
  • Sales
  • Product
  • Engineering
  • Operations
  • HR
  • Customer Support
  • Other
Q15
객관식

In the past 60 days, how often was ownership information outdated or missing?

  • Never
  • Rarely
  • Sometimes
  • Often
  • Very often
Q16
순위 매기기

Rank your biggest catalog obstacles in the past 60 days, from most to least impactful.

  1. Search relevance or precision
  2. Sparse or outdated metadata
  3. Unclear ownership
  4. Access or permissions hurdles
  5. Slow performance or downtime
  6. Interface is hard to navigate
  7. Too many duplicate or similar datasets
드래그하여 순위 지정
Q17
AI 인터뷰

Based on your responses, we'd like to explore a few of your experiences with the data catalog in more depth. Please share as much detail as you're comfortable with.

Q18
객관식

Where are you primarily located?

  • Americas
  • EMEA
  • APAC
  • Remote or varied
Q19
드롭다운

How long have you been using the data catalog?

  • Less than 3 months
  • 3–6 months
  • 7–12 months
  • 1–2 years
  • More than 2 years

포함된 기능

  • AI 후속 질문

    정형화된 설문이 놓치는 세부 내용을, 주관식 답변에 맞춰 AI가 심층 질문으로 끌어냅니다.

  • 주의력 확인 장치

    성의 없는 답변과 저품질 응답자를 걸러내는 내장 안전장치입니다.

  • AI가 작성한 문안

    문구, 질문 순서, 분기 로직까지 AI가 연구 목표에 맞춰 작성합니다.

  • 자동 리포트

    응답이 모이면 주요 주제, 인용문, 이해하기 쉬운 요약이 자동으로 작성됩니다.

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차별화 포인트

  • Includes behavioral usage questions (60-day catalog usage frequency, task duration) alongside perception-based opinion scales on findability, ownership clarity, and trust
  • Uses NPS (likelihood to recommend the catalog) combined with ranking questions on discovery methods, trust factors, and obstacles for prioritization
  • Adaptive AI follow-up interview module probes deeper into specific respondent experiences after the structured questions, something static form builders cannot do
  • Captures role, business area, and location segmentation plus an open-text question for improvement suggestions, feeding into an auto-generated report

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