# How The Black Tux uses QA Wolf

**$200K/year**: “Offset two QA engineers, saving $200K/year.”

As published on [qawolf.com](https://www.qawolf.com/customers/the-black-tux). Captured by usedby on 2026-10-07.

- Company: [The Black Tux](https://www.usedby.ai/companies/the-black-tux.md)
- Tool: [QA Wolf](https://www.usedby.ai/tools/qa-wolf.md)
- Teams: Engineering

## What the story says

The Black Tux, a tuxedo and suit rental service, uses QA Wolf to build and maintain automated end-to-end tests for its custom e-commerce platform, in place of hiring in-house QA engineers. QA Wolf also ran load tests simulating concurrent users ahead of seasonal traffic spikes.

Summary written by usedby from the source page, in English. The figures are those of QA Wolf and The Black Tux, not ours.

> QA Wolf built 150 automated tests and got Black Tux to 80% end-to-end test coverage in three months. As the Black Tux team redesigned and refactored the front end, QA Wolf’s engineers were automatically updating the tests right alongside

- **two days to 10 minutes**: “Reduced QA cycles from two days to 10 minutes.”
- **80%**: “QA Wolf built 150 automated tests and got Black Tux to 80% end-to-end test coverage in three months.”

> Oftentimes we'll make changes without telling QA Wolf and almost always, within a matter of hours, QA Wolf is reaching out to us through our Slack connection. It's nice to know that you guys are gonna stay on top of changes and keep everything current.
>
> David Thomas, CTO

## What usedby checked

We compared the story with its live page on 2026-10-07.

- Checked: the figure $200K/year is printed word for word on the page, near the name of The Black Tux.
- Checked: the passage quoted above is copied word for word from the page, near the name of The Black Tux.
- Checked: The Black Tux uses QA Wolf. Confirmed line. Latest check across sources: 2026-10-07.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/the-black-tux-qa-wolf · How we check: https://www.usedby.ai/methodology