Filter Reports by Cashier to Find Training Gaps
How to use AskBiz POS staff performance reporting to identify which cashiers need support — faster checkout times, lower error rates, and fewer voids start with the right data.
Key Takeaways
- The Overview > Staff Performance section shows each cashier's sales count and revenue for any date range.
- A high void rate relative to sales count is the clearest indicator of a cashier who needs checkout training.
- Compare cashiers' average sale values — a consistently lower average may indicate upselling skills gaps.
- Review staff performance weekly, not monthly — issues caught in week 1 are easier to correct than habits formed over 4 weeks.
Why cashier-level data changes how you train
Without cashier-level data, performance conversations are based on impressions — 'I think Lee is doing well' or 'James seems slow.' AskBiz makes these conversations objective: 'Lee processed 47 sales today with 2 voids and a KSh 320 average sale. James processed 31 sales with 7 voids and a KSh 210 average sale.' Those numbers tell you exactly what each cashier needs coaching on — and which one is already performing at a high level.
Step 1 — Open Staff Performance in the Overview
Go to POS > Overview and scroll down to the 'Staff Performance' section. This shows each cashier's totals for the selected date range: sales count, total revenue, and average sale value. Use the date filter to select 'Last 7 days' for a meaningful sample. Sort by 'Sales count' descending to see your most active cashier at the top.
Step 2 — Check void rates in Operations > Staff
Go to Operations > Staff. Click on a cashier's name to see their session history. Each session shows voids processed. Compare void counts relative to total sales: a cashier with 1 void per 50 sales is performing well. A cashier with 5 voids per 30 sales has a pattern to investigate — are they accidentally completing sales, misunderstanding prices, or voiding to correct honest mistakes? The Audit Log shows the details of each void with the exact product and price.
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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 →Step 3 — Compare average sale values between cashiers
A significant difference in average sale value between two cashiers at the same till suggests different cashier behaviours. A lower average sale may mean one cashier isn't offering add-ons or loyalty upsells. It may also mean they're serving a different customer mix (morning vs afternoon shift). Use the date filter to compare same-shift performance across different days to control for customer mix before drawing conclusions.
Step 4 — Have a data-driven coaching conversation
When you sit down with a cashier to review their performance, show them their AskBiz stats directly on screen. 'Here's your void rate this week compared to last week.' 'Here's your average sale vs the team average.' This removes emotion from the conversation — the numbers are neutral and the cashier can see them too. Most cashiers respond positively to objective data and improve quickly once they understand exactly what's being measured.
Building a weekly review habit
Set a 15-minute weekly slot — Monday morning works well — to review staff performance data for the previous week. Flag any cashier who had more than 3 voids per 30 sales or whose average sale dropped more than 15% from the previous week. A 5-minute conversation in week 1 prevents a performance problem from becoming a habit. Staff who know their metrics are reviewed weekly consistently outperform those who aren't measured.