By Nylia Digital · Educational examples in SAR
Write a question before changing settings
A useful experiment starts with a narrow question: would another team member improve this café’s result on the same day? Record the current price, staff count, marketing and equipment. Keep those other settings unchanged while testing staffing.
Run the café for one day with the starting team. Note customers served, customers lost, operating profit, closing cash and satisfaction. A single profit figure cannot explain whether sales, wages or service capacity drove the outcome.
Replay the same day
Use Rewind & compare to return to the same starting point, then increase staff by one and replay that day. Compare the two paths on the same completed day. Comparing different days can mix the staffing effect with changing simulated conditions.
If the larger team serves more customers, compare the extra contribution from those orders with the additional wage cost. For example, 12 extra orders contributing SAR 16 each provide SAR 192 before an additional SAR 150 wage cost. The difference is SAR 42 under those assumptions. This illustration is separate from the simulator’s complete calculation.
Explain a result that does not improve
If the smaller team already serves all demand, another employee may add cost without adding sales. If demand is higher than service capacity, more staffing may recover some lost orders. The simulator is designed to help explore this trade-off; it does not estimate real demand for a particular address.
Run a separate experiment for a simpler menu or equipment upgrade. Restore the baseline before each comparison. Equipment spending reduces cash immediately, so a more profitable operating day can still end with less cash after the purchase.
Save a conclusion you can check
Write down the baseline, the one change, the result and the limitation. For example: adding one team member improved service on this simulated day, but the extra capacity did not pay for itself under lower demand. Save your run explicitly if you want to reopen it.
Before applying an idea outside the simulator, check real service times, breaks, opening hours, wages and customer demand. The model is a learning aid. Repeating it does not turn its illustrative assumptions into market evidence.
Use the free plannerTry the simulator