The Meeting room no-shows deep dive shows you how much meeting room time is booked but never used. The report compares calendar bookings against sensor data, so a room that was booked but sat empty for its whole slot counts as a no-show. Use it to size the problem, see when and where it is worst, and check whether a release policy works.
The deep dive has a headline metric, a few summary figures, and several breakdowns. Together they take you from a broad trend down to a single weekday, hour, floor, or booking habit. Unlike most deep dives, this one needs both data sources at once. Every room in scope must have a calendar mailbox and a working sensor. You set the time range, office hours, and room scope with the filters at the top.
Unused booked time
This is the headline view. It answers one question: how much booked meeting time goes to waste? A dial on the left shows the share of booked time that no sensor saw in use. The chart on the right plots that same share over your chosen period. A toggle groups it by Days or Weeks, with an average line for reference.
Read a rising line as a growing problem and a falling line as progress. Watch this view after you add or change a release policy. It tells you straight away whether the waste is shrinking.
Your performance explained
Numbers alone don't tell the full story. The section below the main chart turns the trend into a few figures you can act on.
Rooms included in this report: the rooms in the building, how many have both calendar and sensor data, and how many match your filters. This shows how much of your room set the report can see.Meeting time lost: the hours per week that rooms were booked but left empty. This is your headline number, the one to put in front of leaders to justify a policy.
Read together, they show whether no-shows are a small annoyance or a real drain on everyone else.
Unused booked time by weekday
This chart breaks the wasted time down across Monday to Sunday. A tall bar means that day loses the most booked time to empty rooms. Say Monday and Friday stand out in a hybrid office. That is your cue to focus policies or reminders on those days. Use them to aim reminders and release windows at the costliest moments.
Unused booked time by hour
This chart plots unused booked time for each hour of the day. It uses only the hours inside your set office hours. Peaks show the slots people skip most, often the early start or the end of the day. Use it to set a smarter release window. A 9:00 room that no one shows up to is then freed for someone else.
Unused booked time by floor
This view lists each floor with its room count and a bar for the share of time lost to no-shows. A long bar points you to the floors with the biggest problem. Use it to run a floor-by-floor policy or message the teams who sit there. There is no need to treat the whole building the same way.
Unused booked time by booking type
This chart compares single bookings with recurring ones. Recurring meetings get set up months ahead, then forgotten or replaced. They are a leading cause of no-shows and can help you match a policy to the behavior that causes the waste. If the recurring bar towers over the single one, you have a case for tighter rules on repeat events.
Unused booked time by days booked in advance
This chart groups no-shows by lead time. Lead time is the gap in days between when a booking is made and the meeting itself, from same day out to 14 days or more. Bookings made far ahead tend to be the ones people forget. If the bars climb as lead time grows, you can limit how far ahead rooms are booked. You can also send reminders for long-lead bookings.
Behind the scenes
Both data sources are required — This report has no single-source fallback. A room shows up only when it has both a calendar mailbox and a working sensor. Any period missing either source shows gaps.
The smallest tracked base of all room reports — Every room needs both a mailbox and a live sensor. Buildings with partial sensor coverage track far fewer rooms than their full bookable set. The rooms included figure shows how many made the cut.
Unmonitored rooms are left out — A room with an offline or missing sensor drops out of the report. If those rooms are the worst offenders, the rate you see is too low.
Overlapping bookings are merged — When two bookings for the same room overlap, Mapiq joins them into one window. This can change how some no-show patterns are counted.
Office hours bound the hourly view — The by hour chart counts only the hours inside your set office hours. Slots outside those hours never show up as no-shows.
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