We recently enabled the new AI-guided user interface in our UKG Pro environment (version 2022.2) and immediately noticed that several critical KPI widgets have disappeared from our performance management dashboards. The widgets were displaying metrics like goal completion rates, performance review status, and talent calibration scores.
What’s puzzling is that the dashboard structure itself is intact - we can see the widget placeholders and section headers, but the actual KPI data visualizations are just not rendering. We’ve verified that the underlying data is still being collected because we can access it through standard reports. This is affecting our leadership team’s ability to monitor performance metrics in real-time.
I’m particularly concerned about role-based access since different manager levels should see different KPI sets. Has anyone experienced widget compatibility issues after the AI-guided UI migration? Are there specific configuration steps needed to restore widget functionality?
I’ve seen this exact scenario during AI-guided UI rollouts. The new interface uses a different widget rendering engine that doesn’t automatically migrate custom KPI configurations. Check your Dashboard Configuration settings under Performance Management Setup - you’ll likely find that the widget definitions need to be re-mapped to the new UI framework. The good news is your data and calculations are preserved, just the display layer needs updating.
Let me provide a comprehensive solution addressing all three critical areas:
AI-Guided UI Compatibility Resolution:
The missing widgets issue stems from the AI-guided UI using a completely redesigned widget architecture. Navigate to Performance Management > Dashboard Administration > Widget Library Migration Tool. This utility (introduced in 2022.2 Update 3) scans your existing dashboards and creates a compatibility report. Run this first to identify which KPI widgets need manual reconfiguration versus automatic conversion.
Widget Configuration Steps:
- Go to Analytics & Insights > Dashboard Designer (new AI-guided interface)
- Select your affected performance dashboard
- For each missing KPI widget, click ‘Add Component’ and choose from the AI-Enhanced Widget catalog
- Map to your existing KPI definitions using the ‘Link to Legacy Metric’ option - this preserves all your custom formulas and calculations
- Configure the widget display properties (chart type, color schemes, drill-down options)
- Set refresh intervals: Real-time, Hourly, or Daily depending on data volume
- Save and publish the dashboard
Role-Based Dashboard Permissions:
This is where most implementations fail. The AI-guided UI introduced a new permission model:
- Navigate to Security Console > Analytics Permissions > AI-Guided Dashboards
- Create new permission sets for each role level (Executive, Manager, Individual Contributor)
- Assign specific widget visibility rights - the old ‘View Dashboard’ permission is too broad now
- Enable ‘AI-Enhanced Analytics Access’ for all users who need KPI visibility
- For manager-specific KPIs (like team performance metrics), use the new ‘Contextual Data Filtering’ option which automatically shows managers only their direct reports’ data
- Test thoroughly with test accounts at each role level before rolling out
The key insight is that widget placeholders appear when the UI framework loads but the permission layer blocks data retrieval. Your underlying data collection is fine - it’s purely a presentation and security configuration issue. After following these steps, your KPI widgets should render correctly with appropriate role-based filtering. The entire remediation typically takes 4-6 hours for a complex multi-role dashboard setup.
Check the UKG Pro Community Knowledge Base article KB-2022-AI-UI-001 which has the complete widget migration matrix. Your custom KPI formulas won’t be lost - they’re stored separately in the Analytics Engine. What you need to do is recreate the widget containers using the new AI-guided components and then link them back to your existing KPI definitions. It’s tedious but preserves all your calculation logic and historical data. Plan for about 2-3 hours per complex dashboard.