To test a booking system for overlaps, put one existing reservation on a single physical table, calculate when that table should become available, and then try booking another party on either side of it. Compare the slots the system offers with your own timeline. Include an exact boundary time and a longer second reservation.
The important question is whether the system protects the existing party’s full time at the table, including any buffer you intend to apply. A new party’s arrival time alone does not tell you whether the table is free.
Build a timeline for one physical table
Start with one table that can seat both parties in your exercise. This is one physical table, not a limit of one guest party across the whole restaurant. For a clean check, make sure no other table can be assigned to the second party in the test environment. Otherwise, an available slot may be correct because the system found another table.
Write down three times for the existing reservation: arrival, expected departure, and the end of any turnover buffer. Expected departure is the arrival plus the reservation’s planned seating duration. The buffer is extra time after departure, such as time allowed for clearing and resetting the table.
Hypothetical example: Table 1 seats both parties. Party A is booked from 6:00 to 7:30 p.m., a 90-minute stay. Allow 15 minutes after departure for turnover. Under this rule, Party A occupies the table for booking purposes from 6:00 until 7:45 p.m. A second party can start at 7:45, but not before.
For a party arriving before Party A, apply the same logic in the other direction. The earlier party must finish its meal and buffer by 6:00 p.m. If its buffer runs past 6:00, it competes with Party A for the same physical table.
Before running the exercise, agree on the rule being tested with the vendor. Ask whether the buffer applies after every reservation, whether it is included in the displayed duration, and whether an exact end time can also be the next arrival time. Systems may handle those settings differently. The expected results below assume a separate 15-minute buffer after each party and allow the next reservation to begin exactly when that buffer ends.
Compare slots on both sides of the booking
Keep Party A’s 6:00 to 7:30 reservation in place. For Party B, first use a 90-minute seating duration plus the 15-minute buffer. The table below shows what should happen under the stated rule, not what any particular product will display.
| Party B arrival | Party B departure and buffer end | Expected result |
|---|---|---|
| 4:15 p.m. | Departs 5:45; buffer ends 6:00 | Available: the table is ready when Party A arrives. |
| 4:30 p.m. | Departs 6:00; buffer ends 6:15 | Unavailable: the buffer overlaps Party A. |
| 7:30 p.m. | Departs 9:00; buffer ends 9:15 | Unavailable: Party A’s buffer lasts until 7:45. |
| 7:45 p.m. | Departs 9:15; buffer ends 9:30 | Available: Party A’s buffer has ended. |
The first two rows catch a common mistake: checking only whether the earlier party is expected to leave by the next arrival. At 4:30, Party B would depart at 6:00, but the table would not be ready until 6:15. The last two rows check the other side of Party A’s reservation. A 7:30 arrival matches its expected departure, not the end of its buffer.
For this exercise, assume the restaurant is open and accepts reservations throughout the relevant times, with no other restrictions. In a real setup, opening hours, booking intervals, seating areas, party-size rules or service cutoffs could make a non-overlapping time unavailable. An unavailable slot alone does not prove the overlap rule is working; find out which rule blocked it.
Check what the guest sees as well as what staff can enter. A staff view may permit an override that an online booking page does not. Ask the vendor how to identify an override, and record the path used for each result.
Check the boundary and a longer stay
The 7:45 p.m. request is the boundary check. Under the example’s rule, it should be allowed because Party A’s buffer ends at that exact time. A 7:30 request should be blocked. If the system offers smaller booking intervals, also try the latest offered time before 7:45. Do not assume every system offers bookings at every minute.
Now change Party B’s planned seating duration to two hours, retaining its 15-minute buffer. Leave Party A unchanged. A 3:45 arrival would depart at 5:45, with its buffer ending at 6:00, so it fits exactly before Party A. A 4:00 arrival would depart at 6:00, with its buffer ending at 6:15, so it should be blocked.
These longer-stay checks matter because a system might show the same arrival times even when the proposed party needs more time. Ask how the duration for a new request is chosen: by service, party size, a fixed setting or a staff adjustment. Also ask whether changing that setting affects reservations already on the books.
After changing Party B’s duration, inspect Party A again. Its existing reservation should still have the 90-minute duration and 15-minute buffer assumed for this exercise. If the system recalculates existing bookings when a setting changes, agree on how staff would review the consequences before making that change during service.
The test has a narrow conclusion. It checks a defined table, duration and set of times. It does not establish how the system handles combined tables, walk-ins, late arrivals or a party that stays beyond its planned departure. Add separate checks for those situations if they matter to your dining room.
Record the result and resolve differences
Use a vendor-provided test environment or another explicitly non-live simulation. Confirm before starting that practice entries will not trigger a real payment, guest message or courier dispatch. Use fictitious names and contact details, and do not enter a real card. If the vendor cannot provide a safe way to simulate the guest workflow, walk through the expected results with them rather than creating live guest activity.
For each attempt, note the local date and time, table capacity, Party A’s reservation and buffer, Party B’s requested arrival and duration, and the expected result. Then record what actually appeared in the simulation and whether you used a guest or staff view. A screenshot can help if it does not expose real guest information.
If the result differs from your timeline, check the setup before drawing a conclusion. Was another table eligible? Did the system use a different duration or include the buffer inside it? Was the time outside a booking interval or service window? Did a staff override allow the entry? Ask the vendor to explain the result and show which setting controls it.
Once the simulated checks are understood, decide with the vendor whether a limited live service pilot is appropriate. A live pilot uses actual service conditions and needs staff ownership, a way to monitor bookings and a plan for correcting conflicts. It is separate from practice: do not turn fictitious bookings into real guest notifications or payments.
For broader setup questions, review Fleksa’s reservations FAQ and consider how booking controls fit alongside your restaurant management software. The guide to reservation no-show costs covers a separate part of the booking decision.
Next step: Bring your one-table timeline and expected results to a conversation about the Fleksa restaurant reservation system. Compare the relevant workflow and current availability, and ask how the settings would apply to your service.
Frequently asked questions
Is a reservation ending at 7:30 available for another party at 7:30?
Only if your rules allow it. If a 15-minute turnover buffer follows that reservation, the example table is available at 7:45. Confirm how your system treats the exact boundary.
Why might a non-overlapping slot still be unavailable?
Service hours, booking intervals, table capacity, seating-area rules or other settings may block it. Ask which rule caused the result before treating it as an overlap issue.
Should I use a real guest booking to practice?
No. Use a non-live simulation with fictitious details and confirm that no payment, guest message or courier dispatch can occur. A live service pilot is a separate, monitored step.
