Spur x Wander

How Spur helped Wander ship 4x faster

A conversation with

Sneha Sivakumar
CEO of Spur

Spur - Wander Case Study from Sneha Sivakumar on Vimeo

Challenge

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.

Solution

Wander used Spur’s AI-powered browser agents to replace manual and brittle QA with intelligent, natural-language tests that adapt to UI and AI-driven flows. Within weeks, they achieved 80%+ coverage and ran hundreds of tests daily across search, booking, and AI interactions. QA cycles dropped from days to minutes, enabling a 20× increase in release velocity while catching critical bugs before production.

Results

50x the one-person QA team, to run thousands of regression tests daily

Spur has significantly improved Wander’s testing capabilities. It has allowed us to iterate & ship so much faster with confidence!

Nathan Potter
CTO, Wander.com

Testing at Scale: From Simple Searches to AI Interactions

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: The Intelligent Solution Powering Scalable QA for Wander

Ship faster with confidence

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 tests 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 set up in natural language, making it ridiculously easy to set up, scale, and maintain them.

Non-deterministic testing

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 intelligent and can easily interpret high-level instructions.

Instruction given to Spur: " Search for a property somewhere in the US "

Intelligent Testing: Tailored to Use-Case

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.

Ready to transform your testing?

Schedule a demo to see how Spur can handle all your QA, save development time and prevent costly bugs.