The challenge
A team says it needs more meeting rooms because every room is booked. Booking data shows that 38 percent of reservations are never used. What should the team test before paying for more space?
Solve this medium real world challenge, then compare your reasoning with the hint, checked answer, verification, and variation.
A team says it needs more meeting rooms because every room is booked. Booking data shows that 38 percent of reservations are never used. What should the team test before paying for more space?
Separate apparent demand from consumed capacity.
Treating a full booking calendar as proof of full physical use turns a proxy into the outcome and can justify unnecessary expansion.
Test automatic release of rooms when nobody checks in, shorten default reservation length, and measure occupancy rather than bookings. Compare actual room-hours used before and after. Only then estimate whether physical capacity is truly constrained.
A useful test must show whether recovered room-hours reduce failed attempts during peak demand, not merely whether bookings look tidier.
Instrument the bottleneck before expanding it. Reservations are a proxy, not the resource itself.
Define the resource as occupied room-hours, not reservations. The gap between bookings and use suggests that release rules and default durations may recover capacity before construction is considered.
If unused reservations fall but failed booking attempts do not, what other segmentation would help locate the true constraint?
Study bottleneck analysis for the reusable method behind this challenge. Then explore the real-world problem solving learning path for connected examples and practice.