Hivemind | Data Trust Audit Scorecard




Data Trust Audit

One audit. One verdict: AI-Ready or Not.

7
Domains
3
Role Groups
64
Questions

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Rating Scale

  • 1 Not in place / No visibility
  • 2 Partial / Informal only
  • 3 Defined but inconsistently applied
  • 4 Fully in place, monitored & evidenced

Navigate the Tool

① CDO & Data Governance

Designed for: Chief Data Officer and Data Governance Teams  |  28 Questions across 7 Domains

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② CXO Self-Assessment

Designed for: C-Suite Executive Self-Assessment  |  14 Strategic Questions across 7 Domains

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③ Cross-Functional Team

Designed for: Internal Audit / GRC  |  Enterprise Architects  |  TMO/PMO  |  Business Units

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④ Score Dashboard

Scores auto-update as you complete each questionnaire sheet. Rate each question 1–4.

Trust Readiness by Domain & Role

Domain CDO Score CXO Score X-Func Score Trust Readiness
Note: Cross-Functional scores reflect the overall sheet average (questions span functions, not individual domains). For domain-level cross-functional insight, review the ③ sheet directly.

Domain Radar — Score by Role

CDO
CXO
X-Func

Data Readiness Scale

✗  Critical <1.5
Fundamental layer gaps. AI initiative must not proceed — data is ungoverned or untrustworthy at a foundational level.

⚠  Gap 1.5–2.4
One or more readiness layers are failing. Do not scale. Define a layer-by-layer remediation plan.

△  Review 2.5–3.4
Layer foundations exist but controls are incomplete. Strengthen the weakest layer before production AI deployment.

✓  AI-Ready ≥3.5
All five readiness layers are governed and trusted — data is structurally sound for AI decision-making.

Five Layers of Data Readiness
Each layer gates the next. Skip one and AI becomes a liability.
↑ AI-Ready
↓ Foundation

Layer Covers Failure Mode