QR ordering can save staff time, but only if the routine work it removes is greater than the time spent helping guests, correcting orders and resolving payment questions. Count both sides before deciding whether it belongs in your service model.
The useful measure is staff minutes per comparable shift, not the number of scans. A guest who scans successfully may still need help completing an order. A failed scan may lead to an ordinary server-taken order. Both belong in the workload calculation.
Fleksa's QR ordering lets guests scan, order and pay at the table in a browser without downloading an app. That describes the guest workflow, not a guaranteed labor saving. The worksheet below helps you decide what to measure for your own dining room.
Define the work before counting minutes
Start by drawing a boundary around the work you want to compare: taking food and drink orders, entering them, handling payment and fixing problems with those steps. Include the staff time spent on these activities whether a server, host, manager or another employee does it.
Keep food running, clearing tables and normal hospitality outside this first comparison unless the workflow changes those tasks. If it does, add the affected minutes to both shifts and explain the change. A server walking past a table to check on the meal is not automatically a QR exception.
Use these categories to make the log consistent:
- Assisted scan: An employee helps a guest find, open or use the ordering page, including when the guest cannot get started and switches to a staff-taken order.
- Order correction: An employee fixes a wrong table assignment, duplicate item, missed modifier or other ordering mistake after it occurs. Count any follow-up with the kitchen as part of the correction.
- Payment assistance: An employee helps clarify payment status or provides the restaurant's alternative payment process. Do not assume an attempted payment succeeded; follow the status shown by the payment workflow.
- Other handoff: An employee resolves an ordering issue that does not fit the first three groups, such as identifying which table needs follow-up.
One guest interaction can involve more than one category. Record the minutes once, splitting them between categories if practical. If two employees each spend two minutes on the same problem, record four staff minutes. If an employee waits while doing other work, count the active time, not the entire elapsed wait.
Agree on a non-phone fallback before service. A guest who does not want to scan should still be able to order through the established staff process. Count that work as routine staff handling if it is the planned fallback, rather than calling the guest's choice a failure.
Log a hypothetical shift by exception type
The following numbers are fictional. They illustrate staff time, not a Fleksa result or a promise about another restaurant. Assume two shifts each serve 60 guest parties with similar menus, staffing and table-service expectations. A party is a group of guests; it is not a physical table. The restaurant has enough table capacity to serve those parties during each shift, including table turns.
For the QR shift, assume 150 staff minutes go to routine ordering and payment work, including planned staff-taken fallback orders. The exception log adds 48 minutes. The table shows how the exception total is built; the final row adds it to routine work.
| QR shift activity | Events | Minutes per event | Staff minutes |
|---|---|---|---|
| Assisted scans | 6 | 2 | 12 |
| Order corrections | 5 | 3 | 15 |
| Payment assistance | 4 | 3 | 12 |
| Other handoffs | 3 | 3 | 9 |
| Routine work plus exceptions | Not applicable | Not applicable | 150 + 48 = 198 |
In this example, the expected result is 198 staff minutes for the defined ordering and payment work. That is 3.3 minutes per party. The event count is not a count of unique parties: one party could have more than one issue.
For a real log, note the shift, party count, task, active minutes, resolution and whether a second employee helped. Use a simple tally sheet or a shared record that does not require staff to enter guest payment details. A brief note such as “wrong table; kitchen notified” is more useful than a long explanation written in the middle of service.
Also mark unfinished issues. If a manager resolves a payment question after the shift, add that active time to the shift where the problem began. Otherwise the calculation moves work out of sight instead of counting it.
Compare with a staffed-service shift
Now assume the comparable staffed-service shift takes 240 staff minutes for the same defined ordering, payment and correction work. That is four minutes per party. The hypothetical QR shift uses 42 fewer minutes: 240 minus 198. The reduction is 17.5% of the staffed-service total.
This comparison includes exception time on the QR shift and ordinary corrections on the staffed-service shift. It does not include dollar costs: fixed software costs, variable processing costs and the cost of exceptional incidents are all excluded. The result is a workload comparison, not an all-in operating-cost calculation.
Match shifts as closely as practical. Compare meal period, party count and size, menu, staffing, promotions, service area and pace. Record anything unusual, such as a large party or a menu change. If one shift serves more parties, minutes per party can help describe the difference, but it cannot make very different shifts equivalent.
Do not treat one lower total as proof that QR ordering caused the difference. A quiet kitchen, a different mix of guests or an experienced team could affect the result. Repeat the comparison across several similar shifts and look at the individual logs as well as the average. An average can hide a particularly difficult payment issue or a correction that reaches the kitchen too late.
Watch where the minutes land. Forty-two minutes spread across a shift may give servers more room to care for guests, even if it does not remove a full position or a scheduled hour. Conversely, ten minutes of payment assistance arriving during the busiest window may be more disruptive than the same work spread through a quiet afternoon.
Before comparing costs, ask each vendor for a written quote covering fixed charges and variable fees, and identify the operational cost of exceptions separately. A quoted processing fee alone is not the all-in cost of the workflow. Fleksa states that there is no Fleksa commission on table QR orders; payment processing and applicable tax still apply.
Set a threshold before changing service
Choose a minimum improvement that matters to your restaurant before looking at the results. For this hypothetical decision, assume the owner wants at least a 20% reduction in defined staff minutes, with no unresolved handoff problems. The staffed-service baseline is 240 minutes, so the QR shift must use 192 minutes or less to meet the time threshold.
At 198 minutes, the example misses that threshold by six minutes. It still shows a possible time reduction, but the stated rule supports further testing and workflow changes, not a service-model change. The owner might first investigate the five corrections and check whether clearer table identification or a better staff handoff reduces that work.
Use observable pass or fail criteria alongside the time target:
- Time: Pass if the agreed comparison reaches the chosen threshold across the planned set of comparable shifts. Fail if it misses the threshold or the records are too incomplete to calculate it.
- Table identity: Pass if staff can identify the intended table for each sampled order without an unresolved mismatch. Fail if a mismatch remains unresolved or requires an improvised handoff.
- Payment status: Pass if staff can identify the displayed status and follow the restaurant's process for an uncertain or unsuccessful payment. Fail if staff cannot determine the next step.
- Fallback: Pass if a guest who cannot or prefers not to use a phone can complete the normal staff-assisted process. Fail if the team has no workable alternative.
- Correction handoff: Pass if the responsible employee knows how to notify the kitchen and confirm the correction. Fail if ownership or the next action is unclear.
Run practice checks before a live service pilot. Use a vendor-approved test or demonstration setup to simulate a wrong table, a correction and an uncertain payment. Confirm that the simulation cannot trigger a real card payment, guest message or courier dispatch. If those protections are unavailable, walk through the steps on paper instead.
A live pilot is different: it involves actual service and needs a staffed fallback, a named person to resolve issues and a clear stop point if the workflow disrupts guests. Keep the existing service capacity while you collect the comparison. Review the log with the team before deciding whether another pilot is worthwhile.
For a broader view of where the workflow belongs, see the guide to QR ordering in table service. Check the handoff to your restaurant POS system, too: ask how table identity, corrections and payment status appear to staff in your proposed setup.
Next step: Take your exception categories and pass criteria to Fleksa's QR ordering team, compare your requirements and confirm current availability before choosing a workflow.
Frequently asked questions
Should every staff-taken order count as a QR failure?
No. If staff service is the planned alternative for guests who do not use a phone, count its time as routine fallback work. Record a failed scan as an exception when staff must intervene because the QR process did not work for the guest.
Should I count a correction if the guest made the mistake?
Yes, if an employee spends time fixing it. The workload question concerns the staff effort required by the workflow, regardless of who first made the error.
Is one shift enough to decide whether to reduce staffing?
No. Compare several similar shifts, inspect busy-period exceptions and check whether the time saved is concentrated enough to change coverage. A lower total alone does not establish that a position or scheduled hour can be removed.
