Case Study: UncommonGoods accelerates QA and cuts release time with Spur

UncommonGoods cuts QA maintenance by 90% with Spur

UncommonGoods, an online retailer known for curated products from independent makers, faced a significant challenge with its slow and maintenance-heavy QA process. Before using Spur's AI-powered testing, the team relied on brittle Selenium workflows that required extensive DevOps coordination and took weeks to complete for complex releases, creating a major bottleneck for shipping new features.

By implementing Spur, UncommonGoods consolidated its test suite from 150 to 30 cases and reduced maintenance time from 50% to 10% of its effort. The results were substantial: Spur helped achieve 90% test accuracy in weeks, cut release time by 50%, and improved site reliability from 89-92% to 95-98%. This transformation saved over $300,000 in QA costs and allowed the team to focus on higher-value work.

UncommonGoods