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:

KPI	Description
Total Served	Number of completed sessions in the period
Avg Wait Time	Average time customers waited before being called
Busiest Day	The day with the most sessions (with count)
No-shows / Abandoned	Customers 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.