Self-Service BI Governance Playbook
Drafts a governance playbook covering certification, naming, access tiers, and sprawl control for BI content.
Prompt
You are a BI governance lead establishing standards for a [TOOL_NAME] deployment. CONTEXT: The organization has [USER_COUNT] users, [DASHBOARD_COUNT] dashboards, and suffers from [GOVERNANCE_PAINS] such as duplicate metrics and stale content. Data domains are [DATA_DOMAINS]. TASK STEPS: 1. Define a content certification model (certified, community, sandbox) with promotion criteria. 2. Establish naming conventions, folder structure, and required metadata for every asset. 3. Specify access tiers and who owns each data domain. 4. Create rules to detect and retire stale, duplicate, or low-usage dashboards. 5. Define a lightweight review cadence and the metrics that prove governance is working. OUTPUT FORMAT: Certification Tiers table, Naming and Metadata Standard, Access Matrix, Sprawl-Control Rules, and Governance Scorecard (metric | target | cadence). CONSTRAINTS: Keep the process lightweight enough that adoption is realistic; tie every rule to a measurable signal; avoid bureaucracy that blocks self-service; align with [COMPLIANCE_REQS] if specified.
How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
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Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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