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Scenario demo

Compare observed sample data with a modeled scenario.

Adjust transparent assumptions to explore potential revenue lift, staff capacity, and workflow effects without presenting projections as guarantees.

Interactive product preview. This fictional organization, its records, and all metrics are sample data. Nothing here is live customer data, a production system, or a performance claim.

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Modeled results update from the visible assumptions below. They are scenarios, not forecasts.
Model

Adjust scenario assumptions

Observed sample inputs stay fixed; modeled assumptions are yours to change.

Observed sample

Fictional baseline

Annual donations
$100,000
Applications / month
200
Minutes / application
30
Employees
10
Modeled scenario

Potential effect

Potential revenue
+$5,000
Potential hours returned
1,016
Capacity value
$30,480
Future app time
15 min
Visible model math

No hidden multiplier.

  • Revenue: $100,000 × 5% = $5,000
  • Application time: 200 × 12 × (3015) ÷ 60 = 600 hours
  • Other workflow time: 10 × 4 × 52 × 25% = 520 hours
  • Overlap adjustment: −104 hours
  • Capacity value: 1,016 hours × $30 = $30,480

Capacity value translates modeled time into an equivalent loaded labor value. It is not cash savings, revenue, or a guarantee.