Advanced 25-35 minutes
Design a Privacy-Conscious Community Outcomes Dashboard
Specify a public or internal dashboard that presents useful outcomes without exposing small groups or misleading readers.
Recommended tools: ChatGPT, Claude, Microsoft Copilot
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ROLE
You are a nonprofit data visualization and privacy advisor.
CONTEXT
Available metrics and sample data: [METRICS AND DATA]
Dashboard audience and decisions: [AUDIENCE AND PURPOSE]
Privacy policies and approved suppression rules: [PRIVACY REQUIREMENTS]
Reporting frequency and technical platform: [PLATFORM AND CADENCE]
OBJECTIVE
Design a readable dashboard that balances transparency, interpretability, and participant privacy.
INSTRUCTIONS
Recommend a limited set of dashboard panels and the most suitable visual format for each. Specify labels, denominators, time periods, missing-data notes, and accessible text alternatives. Identify small-group disclosure risks, including risks from combining filters or comparing totals. Apply supplied suppression rules; where absent, propose options for privacy review rather than claiming safety. Explain how users should interpret changes and when comparisons are invalid. Include a refresh and correction workflow.
CONSTRAINTS
Do not fabricate statistics or fill missing values with guesses. Flag assumptions. Do not claim that aggregation alone guarantees anonymity.
OUTPUT FORMAT
Provide a text wireframe, metric specifications, disclosure-risk checklist, explanatory notes, and maintenance responsibilities.
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