Before changing staffing after QR ordering, observe three kinds of work separately: entering orders, helping guests, and getting food and drinks to the right table. Record who does each task, how long it takes, and what else is happening on the shift. A lower order-entry count alone does not show that a position can be cut.
Compare similar shifts, including their staffing, guest parties, order mix, and service delays. Then look for a change that leaves enough capacity for busy periods and guests who need personal help. The goal is a better rota decision, not a claim that QR ordering caused every difference between two shifts.
Separate order entry from the rest of service
A guest scanning a code may enter an order, but someone still has to answer questions, handle exceptions, and deliver items. Depending on the setup, staff may also need to check payment status or resolve an order sent to the wrong table. Those tasks can land on different people at different points in service.
Fleksa's QR ordering lets guests scan, order, and pay at the table in a browser without downloading an app. That is different from a QR menu that only displays items. Before measuring labor, ask the provider what staff see when an order arrives, how the table is identified, and how payment status appears. Walk through the actual handoff with your team.
Use these three categories on the observation sheet:
- Order entry: Staff time spent taking an order and entering it, including corrections entered before the order reaches the kitchen.
- Guest assistance: Help with scanning, menu questions, dietary requests, payment questions, and a non-phone ordering option.
- Running and handoff: Time spent carrying items, confirming the destination, and resolving a handoff problem.
Record an interruption in the category that best describes the work. If a server helps a guest scan and then enters the order for them, record the two parts separately when practical. Don't count the same minute in both categories. You can also note tasks outside these categories, such as clearing tables, so that an apparent reduction in observed work is not mistaken for unused time.
Use a clock or timer to record active staff minutes, rather than the elapsed time between an order and its delivery. A server may answer another table while an order is being prepared. The distinction matters when you are estimating workload rather than guest waiting time.
Build a sheet for comparable shifts
Choose shifts with similar opening hours, service style, seating capacity, and expected demand. Record the day and time, weather or local events if they affect traffic, and any menu or promotion changes. Note scheduled roles, actual start and finish times, breaks, and staff absences. A quieter shift with one fewer server is not a clean comparison with a fully staffed rush.
Count physical tables and guest parties separately. A party can occupy more than one table, and the same table can serve several parties during a shift. Record the number of parties served and the number of occupied physical tables at the busiest point. Also note whether the restaurant was close to its available seating capacity. A shift running well below capacity tells you less about what happens on a full night.
For each shift, tally orders by how they were entered: guest QR orders, staff-entered orders, and orders needing correction. Note the mix of drinks, food, and special requests in whatever categories your team can record consistently. A large number of simple drink orders may create a different running workload from fewer multi-course orders.
The following worksheet is a hypothetical example, not a result from a restaurant test. Both shifts cover the same four-hour dinner period, with two servers and one runner scheduled throughout. Each has 12 available physical tables; no party uses more than one table at a time. The work minutes are active staff time summed across the team, not guest waiting time.
| Observation | Staff-entry shift | QR-available shift |
|---|---|---|
| Guest parties served | 30 | 32 |
| Peak occupied physical tables | 10 of 12 | 10 of 12 |
| Orders entered by staff / guests via QR | 42 / 0 | 18 / 26 |
| Order-entry work | 84 staff minutes | 40 staff minutes |
| Guest-assistance work | 24 staff minutes | 38 staff minutes |
| Running and handoff work | 100 staff minutes | 112 staff minutes |
| Total in these three categories | 208 staff minutes | 190 staff minutes |
| Longest observed wait for staff help | 4 minutes | 6 minutes |
The sheet shows fewer staff-entry orders on the QR-available shift, but more assistance and running time. Record how many orders needed correction, too, along with short notes on what went wrong. Those details help explain the totals and identify training or setup issues.
Make observations over several comparable shifts, not just one pair. Assign an observer who can record consistently without pulling a server away from guests. If a full-time observer is impractical, use the same defined observation windows on each shift and label the figures as samples rather than full-shift totals.
Interpret the work before changing the rota
In the example, order-entry work fell by 44 staff minutes, from 84 to 40. Assistance rose by 14 minutes and running rose by 12 minutes. The net difference across the three categories is 18 minutes: 208 minus 190. That is not 44 minutes of available labor, and it does not account for clearing, opening, closing, or other work outside the sheet.
The shifts are similar in some respects, but they are not identical. The QR-available shift served two more parties and had two more orders. Different menu choices, staff experience, or the timing of arrivals could also explain part of the change. The longest observed wait for help increased from four to six minutes; one observation cannot establish a trend, but it deserves attention.
On these assumptions, the sensible decision is to keep the same staffing for now and collect more comparable shifts. In particular, check whether assistance waits rise when several parties arrive together. An 18-minute difference spread across a four-hour service is not enough evidence by itself to remove a person who may be needed during a concentrated rush.
If repeated observations show a consistent reduction in work at a particular time, consider a smaller adjustment first, such as moving a start time or assigning the runner to another task during a quiet window. Match the adjustment to the minutes actually available. A shift-long average can conceal a 30-minute period when everyone is busy.
Keep labor cost analysis separate from the work-minute sheet. If you compare operational quotes or staffing costs, state which scheduled wages and other fixed, variable, and exception costs are included. A count of task minutes alone is not a payroll saving, and moving work to another role does not necessarily reduce total cost.
Set service guardrails and trial carefully
Before altering a live rota, agree on what acceptable service looks like. Choose measures staff can observe without turning service into paperwork. For example, track the longest wait for a staff response, missed or delayed handoffs, order corrections, and whether guests can order without a phone. Set thresholds based on your restaurant's normal service, then record them before the trial rather than deciding afterward what counts as acceptable.
First run a simulated workflow check outside service. Use practice orders and a test setup that cannot take a real payment, send a guest message, or dispatch a courier. Check how a table is identified, where an order appears, who responds when a guest needs help, and how the team handles a correction. Confirm the setup with the provider; do not assume that every system routes orders or shows payment status in the same way.
A simulation checks the handoff, not the pressure of a real rush. If the workflow is ready, use a separate, limited live-service pilot with normal guest consent and operating procedures. Keep backup staff available and name a manager who can restore the prior rota during the shift if service slips. Monitor the agreed guardrails throughout, not only at closing.
Review the trial with the people who worked it. Ask where assistance requests clustered, whether running interrupted other duties, and whether any guests struggled with the non-phone option. If guardrails are missed, restore the previous coverage and investigate before trying again. If they hold, repeat the comparison across representative shifts before making the adjustment permanent.
For the next shift, print the categories in the worksheet, select a comparable service period, and assign an observer. Review your table QR codes and read the guide to where QR ordering fits in table service before setting your guardrails. Then compare the workflow and current availability with Fleksa.
Frequently asked questions
Does a high QR order count mean I can reduce staff?
No. It shows how orders were entered, not how much time was spent assisting guests, running items, or covering other duties. Compare those workloads and service results across similar shifts first.
How many shifts should I observe?
Use several comparable shifts and include the periods when staffing is under the most pressure. There is no useful universal number: collect enough observations to see whether a pattern repeats despite normal changes in demand and order mix.
What if guests do not want to use a phone?
Keep a staff-assisted ordering option and include its workload in the sheet. Check that guests can get help promptly and that staff know how to enter and hand off those orders.
