Savings Calculator

ROI Calculator for your QA stack

Precisely quantify how much your current stack costs and what Thunders would save you compared to Playwright, Selenium, or Cypress.

Thunders — ROI Calculator

Your team

Region

Europe

QA Team iMain executor: QA

Developers

Product team

Product context

Releases per month

4 per month

Number of test cases

200

Percentage of tests still manual60%

Automation hours per release24h

Hours spent writing test cases per release6h

Production incidents

Bugs reaching production per month5

Total ROI

Estimated annual saving

—

Current annual cost

—

Annual cost with Thunders

—

Cost reduction

—%

Developer hours freed per year

—

Bugs intercepted before production per year iCost divided by — vs production

—

Incident resolution ROI

Annual saving on incidents

—

Incident cost — current state i—

—

Incident cost — with Thunders i—

—

Developer hours recovered per year

—

Time to set up

Time saved to reach 80% automated coverage

—months saved

Without Thunders iCapacity: —

— month(s)

With Thunders iCapacity: —

— month(s)

Internal investment saved

—

Full detailed report

Complete cost breakdown per bug, methodological assumptions and comparison

Line-by-line breakdown — production vs staging interception

Line item	Role	Duration	Cost

Manual cases replayed per month—

Execution time per month—

Current cost per month—

Cost with Thunders per month (10× faster)—

Monthly gain—

Automation hours per month—

Estimated maintenance per month (50% of auto)—

Current cost per month—

Cost with Thunders per month (3× faster)—

Monthly gain—

Writing hours per month—

Current cost per month—

Cost with Thunders per month (3× faster)—

Monthly gain—

Current incidents per month—

Cost per incident (production)—

Cost per incident (staging, with Thunders)—

Incidents intercepted per month (30%)—

Current cost per month—

Cost with Thunders per month—

Monthly gain—

Total net annual saving

—

Reduce your annual testing cost

— —

Reach 80% automated coverage

— —

Intercept bugs before production

— —

Divide the cost of each bug fixed

— —