The Hourly bar chart on /analytics breaks down served and cancelled counts by hour of day, 0 through 23, across the selected date range. It is the fastest way to see when you are actually busy.

Open the hourly view

  1. In the admin sidebar, click Analytics.
  2. Pick Last 7 Days or Last 30 Days at the top. A wider range smooths out one-off days.
  3. If you have multiple locations, select one in the sidebar switcher so you are not mixing sites.
  4. Scroll to the Hourly chart. Each bar stacks served and cancelled totals for that hour.

Turn the chart into a schedule

  1. Identify the two or three tallest bars. Those are your peak hours.
  2. Compare them to when staff actually clock in. Gaps at the start of a rush are usually where wait times balloon.
  3. Cross-check the per-service table below the chart. If one service runs long, a peak hour hurts more than the count alone suggests.
  4. Check cancellations. A tall cancelled bar during a peak hour is a sign people are leaving before being served.

Common problems

  • Peaks look flat. Widen the range to Last 30 Days so a single slow day does not dominate.
  • Numbers are split across queues. The chart aggregates all queues at the selected location. Use the per-service table to separate them.
  • An hour shows zero. That hour had no completions or cancellations in the range. Entries still open are excluded.
  • Timezone looks off. Hour buckets currently follow the system clock rather than each location's timezone setting, so very late-night entries can land on the neighboring hour.
  • Cancellations spike at peaks. Customers are giving up in line. Consider more staff or breaking long services into their own queue.

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