SaaS ROI and Time-Savings Estimator
Test if a software purchase is worth piloting before procurement.
ROI outputs
12-month net benefit trend
Instructions
Set baseline assumptions first
Enter conservative, current-state numbers before modeling upside. Use real hourly cost, realistic hours saved, and affected headcount that actually touches the workflow.
Use adoption as a realism control
Do not assume 100% adoption unless rollout is already proven. Start with 50 to 80% and rerun scenarios to understand downside risk before procurement.
Compare pilot and full-rollout scenarios
Run one model for a narrow pilot and one for full deployment. Use the difference in payback and annual ROI to decide whether to phase implementation.
Interpretation notes
Monthly labor value saved
This is the recovered labor value per month: hourly rate x hours saved x affected employees x 4.33 x adoption. It reflects productivity value, not cash collected.
Net monthly benefit
Net benefit is labor value saved minus monthly software cost. If this is negative, the current scenario is unlikely to justify rollout.
Payback period and break-even month
Payback estimates how many months are needed to recover setup cost from net monthly benefit. Faster payback reduces implementation risk.
Annual ROI
Annual ROI compares annual net gain to total first-year cost base. Use this for financial decision support, not as a guarantee of realized savings.
Worth testing recommendation
This recommendation combines payback speed and net benefit direction. Treat it as a triage signal, then validate with a scoped pilot.
Score Sensitivity
ROI sensitivity is highest on hourly rate, hours saved, affected employees, and adoption. Setup cost mostly changes payback speed, while monthly software cost shifts net benefit.