QA Spending Audit: Find Hidden Testing Costs

Most teams don't know where their QA budget actually goes. Let's find out.

The Problem: QA Budget Mystery 

You know your QA budget. You know how many QA engineers you have. But do you know where those hours actually go? 

Most teams don't. You say, 'We spend $600K on QA.' But you don't track: How many hours per month on manual testing? How many on automation? How many on reporting and documentation? How many hours are wasted on activities that could be automated? 

That's the QA budget mystery. And solving it is the first step to reducing costs. 

The 30-Minute QA Audit: Step by Step 

Step 1: List All QA Activities (10 minutes) 

Open a spreadsheet. List every activity your QA team does. Don't overthink it: 

Writing test cases manually 

Executing tests manually 

Running automated tests 

Logging bugs and managing test case library 

Maintaining automation infrastructure 

Reporting and metrics 

Ad-hoc testing (exploratory, regression, etc.) 

Meetings and planning 

Pro tip: If an activity takes less than 2 hours/month, group it with others. If it takes more than 20 hours/month, break it down further. 

Step 2: Assign Hours to Each Activity (8 minutes) 

For each activity, estimate: How many hours per month does your team spend on this? 

Don't overthink. Ask your team. They know. You're looking for approximate distribution, not perfect precision. 

Example (3-person QA team, 2-week sprint): 

Writing test cases: 120 hours/month (3 engineers × 40 hours) 

Executing tests: 80 hours/month 

Logging bugs: 40 hours/month 

Automation maintenance: 30 hours/month 

Meetings/planning: 30 hours/month 

Total: 300 hours/month = 3 FTE spent on QA 

Step 3: Identify High-Waste Activities (5 minutes) 

Look at your hours. Which activities are: 

Repetitive? (Manual testing, bug logging = repetitive) 

Scalable with automation? (Test case writing, test execution = automatable) 

Not adding strategic value? (Meeting overhead, administrative tasks = low value) 

Rule of thumb: Activities over 30 hours/month that are repetitive are automation candidates. 

Step 4: Calculate Cost Per Activity (4 minutes) 

Multiply hours × loaded cost per hour ($100/hour is typical for QA engineers). 

Writing test cases: 120 hours × $100 = $12,000/month ($144,000/year) 

Executing tests: 80 hours × $100 = $8,000/month ($96,000/year) 

Logging bugs: 40 hours × $100 = $4,000/month ($48,000/year) 

Total manual testing cost: $288,000/year 

Step 5: Map to Automation Opportunities (3 minutes) 

Which activities could be automated? For each one, estimate the time savings: 

Writing test cases: 75% reduction with AI test generation (120 → 30 hours) = $10,800/month saved 

Executing tests: 80% reduction with automation (80 → 16 hours) = $6,400/month saved 

Total automatable savings: $17,200/month = $206,400/year 

What Your Audit Results Mean 

If 50%+ of your QA hours are on repetitive manual testing: You're leaving huge ROI on the table. Automation should be your priority. 

If less than 30% are on manual testing: You're doing better than average. You're likely already automating well. 

If more than 10% are on meetings/overhead: Your QA team is bogged down in process. Streamline first before automating. 

Industry Benchmarks 

How does your team compare? 

Average teams (your baseline): 

Manual testing: 55-60% of hours 

Automation work: 10-15% of hours 

High-performing teams: 

Manual testing: 25-30% of hours (strategic + exploratory only) 

Automation work: 25-30% of hours (tests, infrastructure, improvement) 

If you're above 50% manual testing, you have room to improve. 

See how much you could save with automation: https://walnut.ai/roi-calculator