How a Leading Furniture Brand Automated Their Entire Release Process

What changed with Spur

• 8–12 hours of manual regression each release → fully automated
  Bi-weekly regression used to consume entire days (and nights) across desktop and mobile. With Spur, the team now reviews automated regression by lunch, with time left for stress tests and exploratory QA.
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• Full regression coverage in days, not quarters
  Within a 2-week POC, the team rebuilt the bulk of their regression suite in Spur, and in ≈3 weeks they reached near-100% coverage across web and mobile. Ongoing maintenance is now “super, super small”—most suites are “set it and forget it.”
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• Bug Zero became a reality
  Spur surfaced issues in staging releases before they got to production which meant a drastic reduction in customers encountering bugs in production.
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• QA is no longer the release bottleneck
  With regression off their plate, the team scaled their A/B testing program to ~5 experiments per week, supports a company-wide design system audit, and spends more time on user experience instead of repetitive paths.

‍"Pre-release days were really, really stressful. One person would go in and do progression testing from end to end on our website, trying to cover all of the user flows."

Before Spur, the QA team relied on a massive, manually maintained regression checklist—hundreds of test cases across Account Management, PLP, PDP, Search, Cart, Checkout, and Desktop/Mobile variations. Every release required the team to manually work through this list line-by-line.

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Three broad problem areas emerged

1. ‍25+ Hours Spent on Manual Testing Every Bi-Weekly Release
   Pre-release regression started at 9 AM and had to be completed before the 11 PM release that same night. Any bugs discovered meant troubleshooting, fixing, retesting, and starting regression over from scratch
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2. Bugs Reaching Production, Lack of Production Monitoring
   Hard-to-catch issues slipped through to production, since manual testing could not keep up. It was also impossible to achieve continuous testing so production issues would often slip through the cracks. (e.g New Banners introduced by marketing, third party dependency changes etc) 
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3. Team Development Velocity Bottlenecked by QA
   ‍ A/B testing, UX improvements, and design-system audits were slowed or deprioritized since QA was a bottleneck.
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In short: regression testing was duct-taped together with spreadsheets, late nights, and human endurance.

The Large Furniture Retailer deployed Spur's AI-powered browser agents to transform their release process:

1. Overnight automated regression:
   Tests run in the early morning before the team arrives, delivering results by 9 AM.
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2. Zero-to-automation in weeks:
   Coming from 0% automation background, the team achieved 90% coverage with 300+ tests in just two weeks.
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3. ‍Natural language test creation:
   No coding required; QA team writes tests in plain English that adapt to UI changes without constant script maintenance.
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4. Critical bug detection:
   Spur caught payment processor issues and edge-case add-to-cart bugs that would have reached production, including issues that might have taken weeks to discover manually.

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Full Regression Suite Rebuilt in ~3 Weeks

The massive spreadsheet of regression tests—hundreds of lines across Account, PLP, Search, PDP, Cart, and Checkout—was rebuilt inside Spur and scheduled as automated test suites.

What once lived in an Excel file became a fully automated regression engine.

Spur now provides:

• full execution logs
• video recordings
• human-readable assertions
• before/after snapshots
• exact timestamps for when a test first broke

Debugging and communicating with engineering became dramatically faster and clearer.

Automation Took Over the Repetitive Work

With regression off their plate, QA shifted from “button-clicking” to strategic quality initiatives:

• A/B test QA (~5 tests/week)
• design-system consistency audits
• edge-case and stress testing
• non-linear flow exploration
• SEO, email, and content QA

Spur became a cross-team quality engine, not just a test-runner.
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"Spur is our first big win company-wide in terms of implementing the use of AI agents. When we were able to share this with our greater team, everybody was almost in awe of what we were able to achieve."

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