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Design robust decision systems
·
Module 7
Designing for Data Flow & Freshness
1
Risks of Stale Data in Decision Support
Identify the risks of exposing stale data in a decision-support interface.
2
Optimistic Updates: Improving UX with Risks
Explain optimistic updates as a UX pattern and describe their associated failure risks.
3
Designing Data Freshness Indicators
Design UI patterns for data freshness indicators on a dashboard (e.g., 'last updated' timestamps).
4
Designing Alert Patterns for Data Delays
Design user-facing alert patterns for significant data delay scenarios.
5
Handling Rollbacks: Designing for Failed Optimistic Updates
Design the user experience for handling rolled-back data after an optimistic update fails.
6
Designing Audit Trails for Decision Traceability
Specify the data and events required in an audit trail to ensure decision traceability.
7
Dashboard Data Flow Diagramming
Create a data flow diagram for a dashboard, highlighting sources, delays, and user-facing components.
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AI Economics & Cost Optimization
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Engineering Trust in AI Systems