A 2,800-test suite burns 90 hours a release when regression is manual.

Watch an automated suite lap yours in 28 seconds — below.

npx playwright test — regression suite simulated · sped up
0 / 500 passed 0.0s

Make every number on this page yours

Set your team's reality — the demo, the race, the chart, and the ROI below all recalculate live.

Where the hours actually go

A single manual regression cycle, step by step.

  1. 01

    Write & maintain test cases

    Specs drift, cases rot. Someone reconciles them by hand.

    ~5.9 hrs / release
  2. 02

    Execute manually

    Click, type, compare, repeat — 500 cases, one pair of eyes at a time.

    ~7.9 hrs
  3. 03

    Log & triage bugs

    Reproduce, screenshot, write steps, file, argue severity.

    ~1.8 hrs
  4. 04

    Regression re-test

    Every fix risks a new break. Re-run the affected areas. Again.

    ~2.3 hrs

Total: 18 hrs per release · 72 hrs per month

Same suite. Same clock. Different century.

One regression cycle, manual vs automated — the automated lane keeps lapping.

👤 Manualtest 0 of 500
🤖 Automatedidle

press play — or just scroll, it starts itself

Testing that lives inside the pipeline

commit
build
test
deploy

Scroll to walk the pipeline.

01 · commit

Testing triggers on every push — not on a test plan someone has to remember to run.

02 · build

The artifact that gets tested is the artifact that ships. No "it worked in staging."

03 · test

500 tests, run in parallel, on every build. A failure blocks the merge — with a trace, screenshots, and the exact commit attached.

04 · deploy

Release day becomes a merge, not a weekend. 47% of teams postpone releases over manual-testing bottlenecks — this is the fix.

Where automation pays first

Tap a card — manual time vs automated time for the same coverage.

The honest chart: automation isn't free

Upfront scripting costs real weeks. Maintenance runs 10–20% ongoing — we model the top of that range. Here's when it pays back anyway, with your numbers.

— manual (cumulative) — automated (upfront + maintenance)

Your annual number

Pre-filled from your inputs above. Deliberately conservative: only 80% of cases are worth automating, scripting costs 45 minutes per automated case up front, and a 20% ongoing maintenance tax comes off the top — real numbers survive procurement.

hours reclaimed / year
cost recovered / year

In the 0 seconds you've been on this page, a manual tester finished 0 test cases. An automated suite ran 0.

Who builds this

Cale Maynard — Senior Automation Engineer, 10+ years in regulated government and enterprise SaaS QA.

  • 5,000+ automated tests authored
  • 35% faster regression after leading a Selenium → Playwright migration
  • 1,200+ tests in a single production suite
  • SQL-level validation — the data behind the UI, not just the pixels
  • AI-powered agentic pipelines (GitHub Actions · Cloudflare · Claude)

This page is itself the demo: vanilla JS, zero dependencies, no tracking, loads in under a second. View source.

That's hours back, every year.

One conversation to find out what your suite would take.

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