This section helps you understand how to read VelocityNex dashboards, what the core terms mean, and how time‑based comparisons work. No technical knowledge is required.
VelocityNex dashboards are designed to be read quickly and confidently. You should be able to understand what is happening at a glance, then decide where to look next.
1. How to Read VelocityNex Dashboards
VelocityNex dashboards are built to answer three core questions:
• What happened?
• Is it getting better or worse?
• Where should I look next?
Each dashboard is organized so that the most important information appears first, with the ability to drill down into details when needed.
Key Elements You Will See
KPI Cards
KPI cards appear at the top of the dashboard. They show the most important metrics for the selected time period.
Each KPI card includes:
• A large main number showing the result for the selected date range
• A trend indicator comparing that result to the previous period
The KPI cards provide a quick operational snapshot before you explore deeper.
Trend Indicators (Arrows & Colors)
Trend indicators help you quickly understand whether performance is improving or worsening.
Color meaning:
• Green = performance improved
• Red = performance worsened
• --- = no change or no valid comparison available
Arrow meaning:
• ▲ or ▼ appears only when a meaningful change exists
• No arrow (---) means the value did not change or cannot be compared
Important:
An increase is not always good. Some metrics improve when values go up, while others improve when values go down.
Charts and Trends
Charts show how performance changes over time.
Common chart types include:
• Line charts to show trends by day or hour
• Heatmaps to highlight busy or problem periods
Charts help explain why a KPI may have changed.
Filters (Slicers)
Filters allow you to narrow results and explore specific scenarios.
Common filters include:
• Date range
• Branch (location)
• Service
Filters update charts and tables immediately so you can focus on the area you care about.
Outcome Filter (Important)
The Outcome filter controls which types of visits are included in charts and tables.
Available outcomes may include:
• Completed – the customer was served
• No‑Show – the customer did not complete service and was recorded as a no‑show
• Transferred – the visit was moved to another queue
Important clarification:
Tier 1 KPI cards are population‑level metrics.
• KPI cards remain stable and are not meant to change when filtering by outcome
• Outcome filtering is intended for exploration in charts and details, not for redefining headline KPIs
Tip:
If detailed numbers change unexpectedly, check the Outcome filter first.
How to Use the Dashboard Effectively
A recommended approach:
Start with the KPI cards to understand overall performance
Look at colors and arrows to see what is improving or worsening
Use charts to identify patterns or unusual changes
Apply filters to investigate specific branches, services, or time periods
2. What Is a Visit, Service, and Outcome
Understanding these terms is essential to interpreting the data correctly.
Visit
A visit represents a customer entering the system.
Key points:
• A visit is created when a customer checks in or pulls a ticket
• A visit does not mean service has been completed
• A visit can move between queues without creating a new visit
Service
A service describes the type of assistance the customer is requesting.
Examples:
• New driver license
• Vehicle registration renewal
• Commercial license services
Each visit is associated with one service type.
Outcome
An outcome describes how a visit ended.
Common outcomes include:
• Completed – the customer was successfully served
• No‑Show – the customer did not complete service and capacity went unused
• Transferred – the visit was moved to another queue
Important clarifications:
• A transfer does not create a new visit
• A no‑show represents unused service capacity
• Outcomes affect how visits are counted in metrics such as No‑Shows and Completion Rate
3. Understanding Date Ranges and Comparisons
VelocityNex automatically compares performance across time to show trends.
Date Range Selection
When you select a date range:
• All metrics reflect only that period
• Charts and KPIs update together
Previous Period Comparison
For most KPIs, VelocityNex compares the selected date range to the immediately preceding period of equal length.
Example:
• Selected period: August 1–31
• Comparison period: July 1–31
This ensures comparisons are fair and consistent.
What the Comparison Means
• A positive change means the value increased
• A negative change means the value decreased
• The arrow and color indicate whether that change represents improvement or deterioration
Important notes:
• Some metrics improve when values increase (example: Visits Served)
• Some metrics improve when values decrease (example: No‑Shows)
• Very small changes may display as no change (---) to avoid misleading signals
These concepts apply consistently across all VelocityNex dashboards, regardless of the queue system or vendor in use.
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