Operating in the $1.3 trillion global lodging industry, Wander is revolutionizing luxury travel through their network of smart vacation homes. The company owns and operates high-end properties, smart home features, and luxury amenities – offering the consistency and service of a 5-star hotel with the space and privacy of a vacation rental. Their tech-forward platform lets travelers instantly book these premium properties through AI-powered search
For a luxury travel platform, bugs can devastate customer experience. Wander faced an impossible testing matrix:
Manual testing couldn't scale, and traditional automation tools weren't built for AI. Wander needed a smarter solution.
Spur really allowed us to streamline the testing process and keep up with the pace of the product changes that we are shipping
Nathan Potter, CTO
With Spur, Wander has been able to perform major iterations on their search experience and product as a whole. With each change, there are hundreds tests cases running to back it up. Since Spur uses Web Agents in the background, tests are resilient to UI changes and can adapt to new user flows automatically — without any maintenance.
Writing Spur test is more than a 10X faster experience than traditional automation with Cypress
Maxwell Iheagwara, Lead QA Engineer
Within the first week of using Spur, Maxwell, the Head QA Engineer, wrote over 150+ tests for Wander. Within the first month, Wander achieved over 80% test coverage, running over 500+ tests daily. Tests are all setup in natural language, making it ridiculously easy to setup, scale, and maintain them.
Spur's ability to write and execute dynamic test cases for our AI search was game-changing. Each test run uses different search prompts - from 'properties in California' to 'beachfront homes in NYC' - and verifies the accuracy of results automatically.
Maxwell Iheagwara, Lead QA Engineer
Spur uses AI web navigation agents that emulate real human users to execute tests. The agents are extremely intelligent and can easily interpret high level instructions.
Instruction given to Spur: "Search for a property somewhere in the US"
Spur generated the following variations on different runs:
Testing with Spur has been really interesting because we're now able to use sentiment analysis to validate results. With regular testing tools, you just have to check if something works or doesn't work. But Spur actually understands what it's testing.
Nathan Potter, CTO
This intelligent validation proved invaluable while testing their AI assistant, Ava. Spur helped Wander uncover a critical bug in their user flow. Their AI assistant Ava was incorrectly flagging legitimate travel queries as spam, preventing users from booking accommodations. Spur's ability to simulate natural conversations made testing and automating their AI interaction flows possible.
Schedule a demo to see how Spur can handle all your QA, save development time and prevent costly bugs.
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