Compare Cashier Performance Side-by-Side
How to use AskBiz Staff Performance reporting to compare cashiers objectively — sales count, revenue, Avg Sale, and void rate — and build a data-driven coaching culture.
Key Takeaways
- The Staff Performance section on Overview shows each cashier's revenue, sales count, and Avg Sale side by side.
- Compare cashiers on the same shifts and date ranges to control for customer traffic differences.
- A cashier with lower Avg Sale than peers may need upselling coaching, not disciplinary action.
- Sharing performance data with cashiers directly — showing them their numbers — improves performance faster than instructions alone.
Moving from impressions to data in staff management
Most staff performance conversations in retail are based on impressions — who seems busy, who smiles at customers, who you like working with. AskBiz replaces impressions with comparable data: cashier A processed 47 transactions at an Avg Sale of KSh 412, cashier B processed 31 transactions at KSh 218. These numbers don't require interpretation — they show a clear performance gap that deserves a coaching conversation.
Where to find the comparison data
Go to POS > Overview, select Last 7 days (or Last 30 days for a larger sample), and scroll down to 'STAFF PERFORMANCE'. This section shows each cashier who was active in the period with their name, total revenue, and sales count. From these two numbers you can calculate Avg Sale for each cashier: Revenue ÷ Sales count. For void rate, go to Operations > Staff and click on each cashier's session history.
Controlling for shift differences when comparing
A cashier working Friday and Saturday will naturally show higher revenue than one working Monday and Tuesday, because more customers shop on weekends. To compare fairly, filter by the same date range and look at Avg Sale and void rate rather than absolute revenue. Avg Sale is independent of customer count — it reflects what each cashier does with every customer they serve. This is the most meaningful performance comparator.
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See this in action for your business
AskBiz tracks these metrics automatically — just connect your data and start asking questions.
Start for free →The three metrics that matter for cashier coaching
Metric 1 — Avg Sale: low means missing upselling opportunities. Metric 2 — Void rate (voids ÷ total transactions): high means checkout errors or misuse of the refund function. Metric 3 — Session closure compliance: does the cashier close their session at the end of every shift? All three are visible in AskBiz within 2 minutes. These three metrics replace a 30-minute subjective performance review with a 5-minute data-driven conversation.
Running a performance review conversation with data
Bring a printed or screen-shared copy of the cashier's stats to the review conversation: 'Here are your numbers for the past 30 days. Your Avg Sale is KSh 280 — the team average is KSh 380. Here is what that gap means in revenue terms. Let's talk about what's happening at checkout.' This framing — neutral numbers, no accusation — reduces defensiveness and focuses the conversation on specific behaviours rather than general performance.
Incentivising Avg Sale improvement with data transparency
Post the team's weekly Avg Sale figures (without names if culturally sensitive, or with names if your team is competitive) on a whiteboard in the back office. When cashiers see their number relative to the team every week, most naturally improve without explicit instruction. Pairing this with a simple incentive — 'Cashier with highest Avg Sale this month gets a KSh 500 bonus' — creates a self-reinforcing improvement loop driven by data.