The Avg Classes Time Slot Usage section in your Talent Optimization Dashboard helps you quickly spot which class times are most popular and which may need adjustment. This makes it easier to optimize your schedule, balance instructor workloads, and capture demand where it’s strongest.
What the Heatmap Shows
Days of the week are displayed as columns (Mon–Sun).
Time slots are displayed as rows (hour by hour, 24-hour format).
Color shading shows usage:
Darker cells = higher fill rates (higher demand)
Lighter cells = lower fill rates (lower demand)
This gives you a clear, visual way to see when your clients are most likely to attend classes.
How It Works
Data Sources: The heatmap is powered by your studio’s class attendance data.
Fill Rate Visualization: Each cell represents a specific time/day slot.
The fill rate is mapped on a 0–100% scale.
White → Light Green → Dark Green gradient shows increasing fill rates.
Hover for Details: Move your cursor over any cell to view:
Class time slot
Average clients per class
Fill rate percentage
This lets you drill into the specifics without leaving the dashboard.
Switching Views
Above the time slot section, you’ll find a View Selector:
Heatmap View (default): A grid visualization (as shown in your dashboard).
List View: A table format showing:
Class slot
Class name
Location
Average clients per class
Fill rate
You can toggle between these views depending on whether you want a quick visual or a detailed table.
Using the Heatmap for Decisions
The heatmap can help you:
Identify high-demand time slots → Add more classes or your top instructors here.
Spot underperforming slots → Consider moving, consolidating, or removing these.
Balance instructor loads → Match instructors with peak or low-traffic slots strategically.
Test new offerings → Try new class types in empty or lightly used slots.
Filters & Customization
The view updates based on the filters you set at the top of the dashboard:
Instructor → See usage patterns for specific instructors.
Location → Focus on one or multiple studio locations.
Time slot / Month → Narrow the view to specific timeframes.
This ensures you always see the data most relevant to your decision-making.
✅ Tip: Use the heatmap regularly to spot trends over time (e.g., seasonal peaks, shifts in demand) so your schedule evolves alongside client behavior.