Key takeaways
Most hospitality managers correct 80% of employee timesheets manually — better reporting turns that data into labour savings, not just payroll admin
Five essential time tracking reports every hospitality operator should run weekly
Australian compliance obligations under the Fair Work Act require you to keep time records for seven years
Historical timesheet data can power accurate labour forecasts that cut over- and understaffing
In this article
Five time tracking reports every hospitality manager should run
Why hospitality businesses can't afford to ignore timesheet data
How to turn timesheet data into a labour forecast
Staying compliant with AU time tracking obligations
Six ways to get more from your time tracking system
Connecting time tracking to payroll, POS, and rostering
How Deputy helps you run a smarter hospitality operation
FAQs about time tracking reporting for hospitality
Time tracking sits at the heart of every hospitality operation. It shapes your rosters, drives your payroll, and — when used well — reveals exactly where your labour dollars are going.
Yet despite its importance, managers still need to correct 80% of employee timesheets before processing pay. That's hours of admin every week that could be spent on your floor, with your team, or planning your next service.
The hospitality industry has changed fast. According to the Deputy Big Shift Report 2025, shift work hours in hospitality have increased 40% since 2023 — the largest jump of any sector in Australia. With more shifts to manage, accurate time tracking reports aren't a nice-to-have. They're your competitive edge.
This guide walks you through the reports that matter most, how to turn raw timesheet data into smarter staffing decisions, and what you need to know about Australian compliance obligations.
Five time tracking reports every hospitality manager should run
Your time and attendance system holds a goldmine of data. The trick is knowing which reports to pull — and what to do with them. Here are the five reports that give you the clearest picture of your labour performance. You can access most of these through Deputy's time and attendance dashboard.
Labour cost vs revenue by location
This report compares your actual wage spend against the revenue each site generates. Run it weekly to spot which locations are overstaffed relative to their takings. If one venue is consistently running a 35% labour cost vs revenue ratio while others sit at 28%, you've found your first optimisation target.
What to do with this data: Adjust roster templates at underperforming sites, or investigate whether revenue forecasts are off.
Overtime and penalty rate exposure
Before each pay cycle, check which team members are approaching overtime thresholds or stacking weekend and public holiday shifts. In Australia, penalty rates can add 25% to 150% on top of base pay depending on the award and time worked.
The Fair Work Ombudsman has recovered $509M in underpayments from employers who got their calculations wrong. In 2024–25 alone, the FWO recovered $358 million for more than 249,000 underpaid workers. This report helps you catch exposure before it hits your payroll.
What to do with this data: Redistribute shifts to balance penalty accumulation across your team, or flag upcoming overtime so you can approve it intentionally rather than discovering it after the fact.
Attendance and punctuality trends
Chronic lateness, early clock-outs, and no-shows create ripple effects across your service. This report surfaces patterns you might miss day-to-day — like one team member who's been 10 minutes late on every Friday close for the past month.
What to do with this data: Have a conversation before small issues become big problems. You can also use trends to identify whether certain shift times are harder to staff reliably.
Shift coverage gaps
Compare rostered hours against actual hours worked to find the shifts where you're consistently short-staffed. Maybe your Sunday brunch service regularly runs an hour under the planned roster because of late call-outs, or your Thursday dinner team clocks out earlier than scheduled.
What to do with this data: Build buffer capacity into problem shifts, adjust start times, or create a standby list for high-risk services.
Break compliance summary
Australian hospitality awards require meal and rest breaks at specific intervals. This report tracks whether your team is actually taking their entitled breaks — not just whether they're rostered. Automated break planning can prompt staff at the right times, but you still need to verify compliance after the fact.
What to do with this data: Identify managers or locations where breaks are routinely missed. Missed breaks often signal understaffing or a culture that discourages taking time off the floor.
Summary: your weekly reporting checklist
Why hospitality businesses can't afford to ignore timesheet data
Timesheet data isn't just a payroll input — it's a management tool. When you treat it as an afterthought, you're flying blind on some of your biggest costs.
Labour is typically 25% to 35% of revenue in hospitality. A few percentage points of waste — from overstaffing, unplanned overtime, or payroll errors — adds up to thousands of dollars a month. And with the Fair Work Ombudsman actively recovering underpayments (that $509M figure again), the risk of getting it wrong cuts both ways.
Your workforce has changed too. 64% of hospitality shift workers in Australia are now Gen Z. This generation expects mobile-first tools, transparent communication, and fair treatment — and they're quick to leave employers who don't deliver. Only 29% of Australian shift workers feel their employer genuinely cares about their wellbeing. Accurate time tracking and fair rostering are part of how you show you do.
Good reporting also builds your audit trail. When Fair Work comes knocking, you need records that prove you paid correctly, provided breaks, and tracked hours properly. Labour compliance tools help you stay on top of these requirements without relying on spreadsheets and memory.
The bottom line: hospitality moves fast, margins are tight, and your team is young. Timesheet data gives you the visibility to make better decisions on all three fronts.
How to turn timesheet data into a labour forecast
Historical timesheet data is your most reliable predictor of future demand. Here's a three-step process for building a labour forecast that actually works.
Step one: pull 8 to 12 weeks of shift data
Export your actual hours worked — not your rostered hours — for the past two to three months. You want to see what really happened, not what you planned. Break this down by day of the week, shift type, and location if you run multiple sites.
Step two: overlay revenue and demand signals
Match your labour data against revenue, covers, bookings, or foot traffic for the same period. Look for the correlation between staffing levels and sales. This helps you answer questions like: "When we had six staff on a Saturday night, what did we turn over? What about when we had eight?"
Factor in external signals too — school holidays, public holidays, local events, and weather patterns all affect demand in hospitality.
Step three: build a demand curve by day-part
Create a forecast template that maps your expected demand across each day-part (morning, lunch, afternoon, dinner, late night). Use your historical data to set baseline staffing levels, then adjust for known variations.
For example, if your Friday dinner service typically needs five floor staff but jumps to seven on long weekends, build that into your template so you're not scrambling to fill shifts at the last minute.
For a deeper dive into forecasting methods and how to connect them to labour cost savings, read our guide to cutting costs with labour forecasting.
