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Analytics ​

The Analytics dashboard provides historical data and statistics about your queues.

Accessing Analytics ​

Navigate to Analytics (Analytiikka) in the admin sidebar.

Date Range ​

Filter data by time period using the preset buttons:

  • 7 days / 30 days / 90 days — quick presets
  • Custom — pick specific start and end dates

Queue Filter ​

When you have multiple queues, a dropdown lets you filter analytics to a specific queue or view all queues combined.

KPI Cards ​

Four top-level metrics are displayed:

KPIDescription
Total ServedNumber of completed sessions in the period
Avg Wait TimeAverage time customers waited before being called
Busiest DayThe day with the most sessions (with count)
No-shows / AbandonedCustomers who didn't show up or left the queue

Trend Chart ​

A line chart showing daily trends over the selected period:

  • Sessions — number of sessions per day
  • Avg Wait — average wait time per day

Wait Time Heatmap ​

A grid showing visitor volume by hour (rows) and day of week (columns). Darker cells indicate busier periods. Use this to:

  • Plan staffing schedules
  • Identify peak hours
  • Determine optimal queue open/close times

Per-Queue Breakdown ​

A table showing per-queue statistics:

  • Total served count
  • Average wait time
  • Average service time

Event Log ​

A chronological table of individual session events showing:

  • Timestamp
  • Queue name
  • Customer name
  • Event type (joined, called, completed, no-show, left)
  • Wait time and service time

Customers Directory ​

Navigate to Customers in the admin sidebar. This view provides a searchable CRM-like directory of all customers who have visited your organization.

  • Search — find customers by name or phone number
  • History — view the complete history of a customer's sessions across all queues
  • Anonymization — PII is stripped automatically after the retention period

Arrival Forecast ​

Navigate to Forecast in the admin sidebar. The forecasting module aggregates "Planned Arrivals" created via the API or customer PWA prior to their actual visit.

  1. Select a future date using the calendar picker.
  2. The system aggregates all planned arrivals with high confidence scores.
  3. A visual bar chart predicts the visitor volume by hour, allowing staff to preemptively schedule shifts and resources.