Before switching reservation systems, run an off-service rehearsal with fictional bookings. Map each booking’s identity, local date and time, party size, status, and appropriate requests into the replacement system. Then compare the records and resolve any mismatches before you decide whether the real migration is ready.
The rehearsal is a dry run, not proof that every live booking will transfer correctly. Its purpose is to uncover questions while there is still time to answer them: Can the destination accept the fields you need? Who will handle a request that has no matching field? What happens to bookings made during the switch?
Use this restaurant reservation software migration checklist with a manager, the person who controls the current system, and the person who will set up the replacement. Ask both vendors which export, import, and backup methods they support before moving any authorized guest data.
Inventory what the host team needs to see
Start with a walk-through of the current booking screen rather than an export of real guest records. List the fields and statuses your staff use to run a shift. Look beyond the obvious name and time: a host may rely on a booking reference to find a reservation, a party-size change to adjust seating, or a note to prepare for an accessibility request.
For each field, write down what it means and whether it needs to move. A useful inventory includes:
- Booking identity: a unique reference that lets staff distinguish similar reservations.
- Timing: local date, local time, and the restaurant’s time zone.
- Party and allocation: guest count, table or seating area if used, and any seating duration relevant to your floor plan.
- Status: confirmed, canceled, and any other status your team actually uses.
- Requests: information appropriate to transfer and necessary for service, such as an accessibility request.
- Channel: where the booking originated, if staff need it for reconciliation or reporting.
Check the meaning of each status with the people who use it. A label that looks familiar in the new system may trigger a different workflow. Ask whether canceled bookings can be retained separately and whether a change to a record creates a new booking or updates the existing one.
Limit notes to what staff need and are authorized to transfer. Do not put real names, phone numbers, email addresses, or actual guest requests into a practice file. For the eventual migration, agree on access permissions, the supported transfer method, and who can view the resulting records. A related reservation buying guide can help frame questions about booking channels and access.
Map a fictional booking sample before importing
Hypothetical rehearsal: A restaurant in New York creates three fictional bookings for January 15, 2027. The sample uses local Eastern Standard Time, UTC−5. The destination fields below are illustrative; the restaurant must confirm the actual field names and supported import method with its vendor.
| Source field | Fictional source value | Destination or action | Check |
|---|---|---|---|
| Booking reference | R101, R102, R103 | Booking ID or approved reference field | Each record remains distinct and searchable. |
| Date, time, zone | Jan 15: R101 and R102 at 7:00 p.m.; R103 at 8:00 p.m.; America/New_York | Local date and time, with restaurant zone configured | Times display as entered, not five hours earlier or later. |
| Party and status | R101: 4 confirmed; R102: 2 confirmed; R103: 3 canceled | Party size and matching status | Two active bookings cover six guests; the canceled booking stays canceled. |
| Table and request | R101 and R102: Table 4; R101 requests step-free seating | Table assignment; request field if supported | Flag the table conflict and any request without a usable destination. |
Make the mapping explicit enough that another manager can follow it. If a source file has separate date and time columns but the destination expects one value, agree on the conversion before the rehearsal. Confirm whether the destination interprets an uploaded time as local time or converts it from another zone. Also ask how it handles bookings around daylight saving time changes; the January sample alone does not answer that question.
For R101, do not quietly drop the step-free seating request if there is no suitable destination field. Mark it as unmapped. Ask whether the system has an appropriate place for it and whether that information will be visible to the host team. If not, agree on a secure, authorized way for staff to handle the request before moving forward. A booking that arrives at the right time but loses a necessary request is not a complete match.
Use the vendor’s supported practice environment or method where available. Confirm that sample records cannot send guest notifications or affect public availability. If the destination has no safe import rehearsal, ask the vendor to demonstrate the process using fictional data, then document what the demonstration did and did not cover.
Compare counts, statuses, and table conflicts
Once the sample is entered or imported, compare it to the source row by row. Start with the reference, then check date, time, party size, status, table, and request. Do not rely on a matching total alone: one missing record and one duplicate can leave the count unchanged.
In the fictional sample, the expected result is three records in all: two confirmed and one canceled. The confirmed bookings represent six guests. The canceled party of three should not be counted among active guests. If the destination shows three confirmed bookings or nine active guests, stop and investigate the status mapping.
R101 and R102 also both claim Table 4 at 7:00 p.m. That is an intentional conflict in the sample. Check whether the destination flags it, permits it, or handles table assignment differently. A manager should decide which booking gets the table and where the other party can sit. Record both the decision and the reason; do not assume the software will make the operational choice for you.
Then check the edge cases your restaurant encounters. Create additional fictional rows for a party-size change, a cancellation, a booking near closing, or a note that must be seen before seating. If your team uses seating durations, include overlapping times rather than checking only identical arrival times. Ask whether an imported booking blocks availability and whether that behavior can be checked without opening a live booking channel.
Keep a short issue log: the reference, expected result, observed result, owner, and resolution. The decision for this sample is straightforward: do not approve the migration workflow until the Table 4 conflict has a handling procedure and the step-free request has a visible, appropriate destination. Passing those checks would support a limited decision to proceed with further preparation, not a claim that every real record will transfer successfully.
Set the cutover owner and reconciliation checkpoint
Choose one cutover owner before setting a switch date. This person does not need to perform every task, but must know who can authorize access, prepare a supported backup, check the destination, and make the go-or-delay decision. Name a second person to verify counts independently.
Agree on a quiet switch window and a precise checkpoint. For example, the team might stop accepting changes in the old workflow at an agreed time, capture the authorized set of future bookings using a supported method, and account for any calls or online bookings received during the transition. Ask each vendor how to pause or redirect booking channels and what happens to reservations already made through them.
At the checkpoint, compare the old and new systems using the same scope: the same future date range, locations, and statuses. Count total records, confirmed bookings, canceled bookings, and active guests. Then inspect individual records, especially changed bookings, special requests, and potential table conflicts. Check channel attribution where it matters to the restaurant. An aggregate count is a starting point, not a substitute for checking the records that staff will use.
Write down who handles bookings that arrive between the snapshot and the switch. A temporary change log can capture a booking reference, the time of the change, its status, and whether it has been reflected in both systems. Use only an approved location and access controls for any real guest information. The owner closes the log only after each change has been reconciled.
Keep a supported backup and a documented rollback path. Ask how to restore access to the previous workflow, how long that would take, and how to account for bookings created in the replacement if you return to the old system. A rollback may still involve interruption or manual work. If counts differ, essential requests are missing, or staff cannot see the bookings they need, delay the switch until the owner records a resolution.
Train hosts with fictional records before service. Practice finding a reference, reading a request, identifying a cancellation, and escalating a conflict. These are simulated checks: they should not send a real guest message or create a live reservation. If you later choose a live service pilot, define its scope and monitor actual bookings separately from the simulation.
Ask the replacement vendor for a workable migration path
Before approving the switch, ask for a demonstration of the exact workflow your team expects to use. Can authorized staff bring in future bookings by a supported method? Which fields and statuses can they preserve? Can they identify the original booking channel? What permissions are needed to view or export the records afterward? Ask how the vendor recommends handling fields that do not map.
Also distinguish direct reservations from discovery-led channels. OpenTable offers restaurant reservation and operations tools alongside a diner discovery network. Fleksa offers direct restaurant reservations and Google reservation options where available. Ask how each channel’s bookings will be accounted for during a move, including attribution, permissions, exports, and applicable fees. Neither model by itself tells you whether a particular migration workflow will fit your restaurant.
Review the replacement alongside the rest of your restaurant management software, especially where staff need a consistent view of service. For Fleksa’s actual plan pricing, consult current plans; pricing was checked in November 2026. Confirm current availability and setup for the workflow you need.
Next step: Bring your fictional field map, issue log, and cutover questions to a conversation about Fleksa’s restaurant reservation system. Compare the relevant workflow and current availability before scheduling the switch.
Frequently asked questions
Can we rehearse a migration without real guest data?
Yes. Create fictional bookings with representative fields, statuses, and conflicts. Confirm that the practice method will not send notifications or affect live availability.
What should we do if a special request has no matching field?
Flag it as unmapped and ask the vendor about an appropriate, visible destination. Agree on an authorized handling method before approving the migration workflow.
What should match at the cutover checkpoint?
Compare the same date range and statuses in both systems, including total records, active bookings, and active guest counts. Check individual identities, times, party sizes, requests, and changes as well.
