In short: the answer is in the data, not in gut feeling: cross-reference the hourly entry graph with the rota and you will see whether the team is drowning at peak hours or bored in the dead ones. Move empty shifts into the busy periods rather than adding people, and set a clear workload threshold — one salesperson per 10 customers an hour, say. When the data shows you consistently breaching it, that is the moment to hire.
A salesperson who insists they are run off their feet doesn't always deliver results, and one who looks calm may simply be exceptionally efficient.
The problem is that most managers set the number of people on a shift by gut feeling, or by the shopping centre's opening hours.
That is management by guesswork, and it makes you pay unnecessary wages in empty hours — or worse, lose customers at peak times because there is nobody to serve them.
The managerial problem
When you only look at total sales at the end of the day, you don't see the dips that happened in the middle.
It may be that between 16:00 and 18:00, 50 people came into the shop and there was one salesperson. Customers waited, gave up and left.
The till software will show you there were sales; it won't show you the 40 people who slipped through your fingers because the team was overwhelmed. Without knowing your salesperson-to-customer ratio, you are running the business blind.
The modern management answer
Modern management synchronises the rota with the physical footfall graph.
The aim is to make sure that at any given moment there are enough pairs of hands relative to the number of people in the store. Monitoring tools let you identify the golden hours where half an extra shift can lift takings by 20%.
💡 Putting it into practice: building a profitable rota
- Analyse the service gap
- The manual way — asking the salesperson how the day went and being told "it was mad" (even if only five people came in and irritated them). That is management by emotion.
- The technological way — cross-reference the hourly entry graph with the rota. If the graph shows a peak at 17:00 and you have one salesperson on, you are certainly losing money.
- Move dead shifts into peak periods — don't add people, simply move them. If the data shows there is no footfall on Tuesday mornings, shorten that shift and move those hours to strengthen Thursday.
- A managerial utilisation metric — define a workload threshold (one salesperson per 10 customers an hour, for example). If the system shows you consistently breaching it, that is the moment to hire someone else — not because it "feels busy" but because the data proves you are losing sales.
