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How the Forecast Tab Works

Learn how ServerLife estimates your monthly take-home earnings — where the numbers come from, what the confidence level means, and how the premium range, what-if, and goal features are calculated.

Written by Jason Andress
Updated this week

How the Forecast Tab Works

The Forecast tab estimates where your take-home earnings are heading for the rest of the month — based entirely on your own shift history, not industry averages or outside data.

Quick summary: It looks at your last 90 days of shifts, calculates your average earnings for each day of the week, and uses how often you actually work each day to project what you're likely to earn for the rest of the month. You can tap "How is this calculated?" directly on the Forecast screen to see a breakdown of your averages and frequency by day of the week.


The details

What data it uses

Every time the Forecast loads, it looks back at your last 90 days of recorded shifts. This window is recent enough to reflect your current job and schedule, but long enough to have a reliable sample across all days of the week. The exact date range is shown directly on the Forecast screen below the confidence level.

How the estimate is calculated

For each day of the week (Monday, Tuesday, etc.), the app calculates two things from your last 90 days:

  • Your average take-home on that day

  • How often you actually worked that day

It then multiplies those together for every remaining day in the month and adds them up. So if you average $180 on Fridays and work about 80% of Fridays, each remaining Friday contributes roughly $144 to your estimated remainder.

What "So Far" and "Remaining (est.)" mean

  • So Far is your actual recorded take-home for the current month to date

  • Remaining (est.) is the projected earnings for the rest of the month based on your patterns

  • Monthly Total (est.) is simply those two added together

What the confidence level means

The confidence level (Low / Medium / High) reflects how much data the forecast has to work with. A new user with two weeks of shifts will see Low confidence — the estimate exists but is rough. A user with several months of consistent data will see High confidence, meaning the pattern is well-established and the estimate is more reliable.

Why a specific day might show as your strongest earning day

The app identifies your strongest earning day by looking at both your average earnings and how frequently you work that day. A day you worked once with a big tip won't outrank a day you work consistently with strong earnings.

If you've set a custom start of week in your settings, all day labels in the forecast reflect that setting — including your strongest earning day, what-if scenarios, and goal recommendations.

The "Most likely range" (Premium)

Instead of a single number, the range shows a realistic spread for your month based on the natural variation in your shifts. Tighter ranges mean more consistent earnings history; wider ranges reflect more variability shift to shift.

The "What if" scenarios (Premium)

These show what your estimated monthly total would look like if you picked up one extra shift on a given day — based on your actual average for that day over the last 90 days. Only days with remaining occurrences in the month are shown.

The Goal check (Premium)

If you've set a monthly take-home goal, this section shows how far you are from hitting it and estimates how many additional shifts it would take to close the gap — using your best-performing days with remaining occurrences this month.


A note on accuracy

The forecast is only as good as your recorded data. If you've recently changed jobs, switched to a different schedule, or had an unusual stretch of shifts, the 90-day window may include data that no longer reflects your current situation. The more consistently you track, the more accurate your forecast will be.

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