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Shift Report: Track Every Shift in Your Club

Published: · Updated: (13 days ago)· IZI Team

Shift Report: Track Every Shift in Your Club

Section titled “Shift Report: Track Every Shift in Your Club”

The Shift Report in IZI CRM is a summary table of all closed shifts at your club for a selected period. Each row is one closed shift and shows: cash revenue, non-cash revenue, player balance top-up amounts, bonus credits issued, session count, AOV (total shift revenue ÷ completed sessions), shift duration, and the admin’s name. To open it: Analytics → Shift Report → choose your date range. The fastest cash-control routine is to open this report immediately after each shift closes, read the cash revenue figure, count the drawer, and compare — any discrepancy is visible without manual arithmetic.


Each row in the report corresponds to one closed shift. Here is a reference for the main columns.

ColumnWhat it showsHow to use it
Date / TimeShift open → close timestampsCompare equivalent time slots
AdminWho ran the shiftFilter by name to evaluate an individual
Cash RevenueMoney taken as cashReconcile against the physical drawer count
Non-cash RevenueCard / QR paymentsReconcile against the payment terminal
Top-upsCash loaded onto player balancesCash turnover — not yet realised as session revenue
BonusesBonus credits issued on top-upsTracks loyalty programme cost per shift
SessionsCompleted session countHall utilisation for the shift
AOVAverage order value: revenue ÷ sessionsPrimary efficiency indicator
DurationHow many hours the shift ranUse to normalise revenue across shifts of different lengths

Top-ups are money already in the drawer but not yet converted into gaming-time revenue. A player loaded funds onto their balance but has not started a session yet. This means:

  • Cash turnover for the shift = revenue + top-ups
  • Realised session revenue = only what closed out as completed sessions

When you see a high top-up figure alongside low session revenue, do not assume something is wrong — it may simply be a shift where many players pre-loaded for later play.


A shift is tied to the cashier’s working period, not to a date. A club open 12:00–06:00 has a shift that technically spans two calendar days. When you need day-of-week or weekly trends, use the daily analytics view, which aggregates by calendar date regardless of shift boundaries.

Shifts are the right lens for:

  • Admin evaluation — each shift has a clear owner and time context
  • Cash control — the link “who worked → how much should be in the drawer” is direct
  • Anomaly investigation — an event happened during a specific person’s shift, and that is immediately visible

For revenue trends (busiest days, week-over-week growth) switch to daily analytics or the session report metrics.


Using the report to measure shift efficiency

Section titled “Using the report to measure shift efficiency”

Absolute shift revenue is not comparable across shifts of different lengths. Use revenue per shift hour:

Revenue per hour = Total shift revenue / Shift duration (hours)

If a daytime shift (8 h) produces less per hour than an evening shift (6 h), that is not automatically normal — it may indicate low daytime utilisation or a tariff structure not optimised for off-peak traffic. Use the pricing simulator to model tariff adjustments.

Fair comparisons match the same time slot. For example:

  • All Friday evening shifts over the past month — admin A vs. admin B
  • All Tuesday morning shifts — one admin’s trend week-over-week
  • Equivalent shifts before and after a tariff change or promotion

If one admin’s AOV is consistently below the group average for the same slot, they may be less likely to suggest a tariff upgrade or activate top-up bonuses.

There is no universal “correct” AOV — it depends on your pricing, typical session length, and audience. Derive your own target:

Target AOV = Average hourly rate × Average session length (hours)

If your standard tariff is X per hour and the average session runs Y hours, your AOV should be close to X × Y. A sustained gap below this target usually means either a high share of short sessions or a significant volume going through discounted tariffs.


A shift discrepancy is the difference between the expected cash balance (per IZI) and the physical drawer count at closing. The Shift Report is where you see the problem first.

  1. Immediately after the shift closes, open Analytics → Shift Report
  2. Find the just-closed shift row
  3. Read the Cash Revenue figure — this is how much cash should have entered the drawer during the shift
  4. Physically count the drawer
  5. Compare using:
Expected cash = Opening float + Cash Revenue + Cash Top-ups − Cash withdrawals

A difference of a few cents is rounding. A recurring gap is a prompt to review suspicious operations.

  • Sessions well below typical for that time slot → some sessions may have bypassed the system
  • Unusually high cash share with low AOV → worth drilling into that admin’s individual transactions
  • Bonuses issued but very few top-ups recorded → atypical ratio, worth investigating

The Shift Report is not a raw leaderboard. A Friday evening shift is structurally more valuable than a Wednesday morning — that is demand, not admin merit. Use this approach instead:

Step 1. Group shifts by time slot (morning / afternoon / evening) and day of week.

Step 2. Within each group, compare admins by AOV and the share of top-ups in cash turnover.

Step 3. Trend matters more than a snapshot — is a given admin’s AOV improving over time or flat?

Step 4. If a deviation is large, go to the suspicious employees report for detail.


How the Shift Report connects to other analytics

Section titled “How the Shift Report connects to other analytics”

The Shift Report is the top-level view. Drill down with these sections:

What you need to knowWhere to go
Which tariffs were sold in a shiftTariff Sales
Hall utilisation by hourSession Report — Load
Details on individual sessionsSession Metrics
Bar sales and stock movementBar Report
Bonus accrual and spendBonus Report
Cash discrepancy deep-diveShift Discrepancy
Suspicious operationsSuspicious Operations

How do I close a shift so the report is accurate?

Section titled “How do I close a shift so the report is accurate?”

Before closing, make sure all active sessions are ended or transferred to the next shift. Unclosed sessions may not appear in the current shift’s totals. See Closing a Shift in IZI for the step-by-step.

Do I need to print a Z-report on a fiscal register when closing a shift in IZI?

Section titled “Do I need to print a Z-report on a fiscal register when closing a shift in IZI?”

These are two independent actions. Closing a shift in IZI records operational data. A Z-report on a fiscal register is a separate regulatory step required in some countries (e.g., Russia under 54-FZ). IZI does not replace fiscal register procedures.

Why does a shift show large top-ups but low session revenue?

Section titled “Why does a shift show large top-ups but low session revenue?”

This is normal when your club runs on a prepaid balance model. Top-ups represent money received today; the corresponding gaming time may be consumed tomorrow or later. For realised revenue analysis, look at the session revenue line, not the total cash turnover figure.

Frequently asked questions

What does the Shift Report in IZI show?

The Shift Report displays a summary row for every closed shift: cash and non-cash revenue, balance top-up amounts, bonus credits issued during top-ups, session count, AOV (average order value), shift duration, and the name of the admin who ran it.

How do I open the Shift Report in IZI CRM?

Go to Analytics → Shift Report. Use the date filter to select your period, and optionally filter by a specific admin. Each table row is one closed shift.

How is the Shift Report different from daily analytics?

The Shift Report is tied to the admin's working period, not to a calendar date. A single shift may span two calendar days (e.g., 12:00–06:00). Daily analytics aggregates by calendar date regardless of shift boundaries.

How can I use the Shift Report to monitor staff?

Compare shifts of the same time slot across admins: AOV, session count, and top-up share. An unusually low AOV at normal session volume is a signal to cross-check with the suspicious operations report. Cash discrepancies show up immediately when you compare the reported cash total against the physical count.

What is a shift discrepancy and how do I reduce it?

A shift discrepancy is the difference between the expected cash in the drawer (per the report) and the actual count at closing. Common causes: change errors, unclosed sessions, manual adjustments. See the Shift Discrepancy page for a detailed breakdown.

Can I compare different admins' shifts?

Yes, but account for time slot and day of week. A Friday evening shift is structurally more profitable than a Wednesday morning — that is demand, not admin skill. For a fair comparison, match the same time slot across admins or track one admin's same slot over time.

Does shift duration affect how I read revenue?

Yes. Use revenue per shift hour (total shift revenue divided by hours worked) instead of absolute revenue. This normalises shifts of different lengths and gives a comparable productivity metric.

How is the Shift Report related to a Z-report?

They are separate documents. The IZI Shift Report is operational analytics generated by the software. A Z-report is a fiscal register procedure required by local tax regulations (e.g., in Russia under 54-FZ). Closing a shift in IZI does not replace a Z-report.

How do I calculate AOV from the Shift Report?

AOV = total shift revenue / number of completed sessions for that shift. IZI calculates this automatically and displays it in each shift row — no manual calculation needed.

How often should I check the Shift Report?

Best practice: review each shift immediately after it closes, then do a weekly review comparing like-for-like shifts (same slot, week-over-week). This catches anomalies before they compound.

Can I export the Shift Report for accounting?

Yes, Shift Report data is available for export. Check your current IZI CRM version for the available export formats.

What does the Top-ups column mean in the Shift Report?

Top-ups shows the total amount added to player cash balances during the shift. The money is in the drawer but has not yet been spent — it sits on the player's account. Top-ups count toward cash turnover but not toward realised session revenue.