Test Automation ROI Calculator
See how much time and money your team could save by automating regression testing. Enter a few details about your QA process for an instant estimate, then read how the number is calculated below.
Tell us about your testing process
Adjust the numbers to match your team. Results update instantly.
What automation could save you
Time and cost savings assume automation covers 60–70% of repetitive regression testing — adjust this assumption for your team. The estimate also includes a conservative allowance for incidents avoided through more consistent regression coverage at your release frequency.
Estimated payback period
Based on TestOptim AI's paid plans and your estimated monthly savings.
These are estimates based on your inputs and general industry assumptions. Actual results vary by team, codebase, and processes — they are not a guarantee of savings.
How to calculate test automation ROI
The calculator uses five inputs: how many people test by hand, how many hours a week each spends on it, their average salary, how often you release, and what a production incident costs you. These are the steps it follows, and you can use the same formula on paper.
1. Price an hour of QA time
Hourly cost = annual salary ÷ 2,080 working hours
2. Count manual testing hours
Manual hours per month = testers × testing hours per week × 4.33 weeks
3. Estimate the hours automation takes over
Hours saved = manual hours × 60%–70% (the estimate uses 65%)
4. Turn saved hours into money
Labor savings = hours saved × hourly cost
5. Add incidents avoided
Incident savings = releases per month × 0.25 × cost per incident
6. Compare savings with what automation costs
ROI = (monthly savings − monthly cost of automation) ÷ monthly cost of automation. Payback = monthly plan price ÷ monthly savings.
The 60%–70% range is the share of repetitive regression testing (logins, checkout, forms, create/edit/delete flows) that TestOptim AI typically takes over. The incident allowance is deliberately conservative: one avoided incident for every four releases.
Worked example
Here are the calculator's default inputs, run through the formula above.
- Inputs
- 3 testers, 20 hrs/week each, $85,000 salary, 4 releases/month, $1,500 per incident
- Hourly cost
- $41/hr
- Manual testing per month
- 260 hrs
- What that testing costs per month
- $10,617
- Hours automation saves per month
- 156 hrs–182 hrs (169 hrs at 65%)
- Labor savings per month
- $6,901
- Incident savings per month
- $1,500
- Total estimated savings per month
- $8,401
On the Startup plan ($49/month), that team's savings cover the subscription in well under a month. The subscription is the small part of the cost: the time your team spends reviewing results and bug reports matters more, so count it on the cost side when you work out ROI.
Metrics to track for test automation ROI
An estimate gets you started. To prove the return, measure these before and after you automate.
Manual regression hours per release
The biggest input to ROI. Measure it for a few releases before you automate, then again after.
Escaped bugs per release
Bugs found by customers or in production. Fewer escapes is the second half of the return.
Cost of one production incident
Engineering time to fix and redeploy, support load, and refunds or lost sales if the bug touched checkout or sign-up.
Hours spent maintaining tests
With scripted suites this grows with every UI change and quietly eats the savings. Count it on the cost side.
Time from merge to release
If regression testing is the bottleneck, automation shows up here as faster, more frequent releases.
Common questions about test automation ROI
How do you calculate the ROI of test automation?
Work out what manual testing costs today (testing hours × hourly cost), estimate how much of it automation takes over, add the value of incidents you avoid, then compare that with what automation costs you. ROI = (savings − cost of automation) ÷ cost of automation. The calculator above does the arithmetic and doubles as a template you can fill in for your own team.
What is a realistic ROI for test automation?
It depends mostly on how many hours your team spends on manual regression today. A team spending a few hours a release won't save much; a team spending days on every release saves a lot. Plug in your own hours rather than relying on an industry average.
Does this account for the time to set up and maintain tests?
The calculator counts time saved, not time spent, so add setup and review time to the cost side of the formula. With scripted tools like Selenium or Playwright, maintenance is the cost teams most often forget: UI changes break selectors and someone has to fix them every sprint. TestOptim AI's tests are plain-language steps with no stored selectors: the agent finds each element afresh on every run, so markup changes do not break them.
What if we don't have a dedicated QA team?
The model still applies: enter the developers who test by hand and their salaries instead. Developer hours usually cost more than QA hours, so teams without a QA function often see a faster payback.
How do I get a more precise estimate for my company?
The calculator gives a directional estimate. For a number that reflects your stack, coverage gaps, and team structure, contact us and we'll walk through it together.
Related reading
Ready to put those savings to work?
Start automating your regression testing with TestOptim AI — 3-day Solo trial.