Simple Visual · 3 People × 4 Shifts · Live Multipliers

The Ranking on One Page

Three receptionists, the same four shifts, different sales. Every number below is live — including the multipliers, which recalculate the moment any sale or hour changes.

How the multipliers work: each shift's multiplier is computed from that shift's own total sales and total hours worked this month. For example, for Friday Morning Landside: every dollar sold on that shift (by anyone who worked it) divided by every hour worked on that shift = that shift's $/hour. The shift with the lowest $/hour (hardest selling conditions) becomes the ×1.000 baseline, highlighted gold. Every other shift's multiplier = baseline $/hour ÷ this shift's $/hour. Change any cell and watch the baseline potentially move — every multiplier recalibrates in real time.
1
Rank 1 · Champion of the Month
0
pts / hr
$0
total sales
0
total points
0h
hours worked

What the table tells us

Understanding the system

Three analogies to make it click

The ranking logic can feel counterintuitive at first — someone sells more dollars but doesn't win, someone works more hours but drops in rank. Here are three everyday situations that show exactly why the system works the way it does.

1

The running race

Dış kulvar fiziken daha uzundur. Adil bir yarış için dış koşucu önden başlamalıdır. Aşağıdaki iki modu dene:

FINISH 3 2 1 koşma yönü
▶ Oynat butonuna bas

Üç eşit hızda koşucu. Kim kazanır?

Kepler Performans Ölçümleme Sistemi'nde ÇARPAN = kaydırmalı start. Zor vardiyada her dolar daha çok puan getirir.
2

The two drivers

Car A
Speed 100 km/h
Distance 300 km
Car B
Speed 200 km/h
Distance 200 km
Car A wins — by total distance. But is that fair?

Araba A: 100 km/s × 3 saat → 300 km.
Araba B: 200 km/s × 1 saat → 200 km.

Hangisi daha hızlı sürücü?

Kepler Performans Ölçümleme Sistemi, sıralamada saatlik hızı toplam mesafenin önünde tutar — ikisi de değerlidir, ancak performans bazlı değerlendirmede saatlik tempo belirleyicidir.
3

The widget factory

Worker X
Rate 100/hr
Total 200 widgets
Worker Y
Rate 60/hr
Total 240 widgets
Worker Y wins — bigger pile, but were they more productive?

İşçi X: 100/saat × 2 saat → 200 ürün.
İşçi Y: 60/saat × 4 saat → 240 ürün.

Hangisi daha iyi işçi?

Kepler Performans Ölçümleme Sistemi, sıralamada saatlik üretkenliğe öncelik tanır. Toplam satış elbette önemlidir, ancak her saatin ne kadar verimli kullanıldığı sıralamanın belirleyici unsurudur.
How multipliers are calculated

Drop a sale on any shift

Multipliers come from one thing: each shift's own $/hour — total sales on that shift divided by hours worked on it. Rush-hour shifts with lots of traffic — busy work groups, peak times — end up with LOW multipliers (the sale was easy). Quiet shifts with low $/hour get HIGH multipliers (each sale there was harder). Here are all 28 shifts at a location, sorted from easiest to hardest.

Imagine your sale is USD
Easy (busy)
Medium
Hard
Hardest (quietest)
Frequently asked questions

Questions from the team

Common questions about how the month works — cumulative hours, baseline stability, schedule fairness, and catching up on the last shift.

All hours and sales accumulate across the full month. If Friday Morning Landside runs three times and you worked all three (8+8+8 = 24 hours), that shift's total for the month is 24 hours + all the sales made on those three occurrences combined. Multipliers are calculated from the full month-to-date pool — never per single occurrence.
Example: Friday Morning Landside happened 3 times this month. Total hours across all three: 24. Total sales across all three: $180,000. That shift's $/hour = 180,000 ÷ 24 = $7,500/hour. That single rate decides the multiplier — no matter which Friday you worked.
Early in the month, one or two sales can flip the baseline — because totals are small. As the month fills in, hundreds of hours and transactions aggregate per shift. Single sales barely move those ratios. By the third week the baseline typically locks in and stays there. Early-month volatility is normal and self-corrects as data accumulates.
Think of it like a batting average. One strikeout ruins your first game. By game 50, a single strikeout barely shifts your average. Same principle — more data = more stability.
Ranking is based on Points per Hour, not total shifts worked. Working fewer hours on harder shifts can absolutely outrank working more hours on easier ones. If your schedule leans toward one type of shift, you can still rank high by (a) selling efficiently — every dollar multiplies at that shift's rate — and (b) exceeding your peers' typical output on the same shift type. The system measures pace, not volume. Schedule constraints are visible to management, and fairness is actively monitored across the month.
Remember the cars analogy above: Car A drove 300 km, Car B drove 200 km — but Car B is the faster driver because they covered more per hour. Fewer hours don't automatically mean lower rank.
Use the Sales Target Calculator below. Enter your current Points per Hour, the target (the leader's Points per Hour or the rank you're chasing), your hours worked so far this month, and your last shift's duration and multiplier. The calculator instantly returns the exact dollar amount you need to sell on that final shift to match the target.
Sales Target Calculator

How much do I need to sell on my last shift?

Enter your current numbers and the target Points per Hour you want to reach. The calculator returns the exact dollar amount you need to sell on your final shift.

what you see on the leaderboard now
the leader's Pts/hr (or slightly above)
total hours this month before last shift
how long your final shift will be
read it from the matrix — the multiplier of that exact shift
Sales needed on last shift
$0
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Heads up

This section is a fixed example

The 28 shifts you're about to explore show multipliers as a snapshot example. In the real system, multipliers are not fixed — they recalculate dynamically the moment any sale or hour is entered.

Use this section to feel how much the multiplier changes a sale's value across shifts. The numbers here are illustrative — your live dashboard is always calculated from real-time, month-to-date data.

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