Case Study: Wheelhouse improves onboarding conversion and streamlines bug fixing with LogRocket

Customer insights lead to improved product experience for Wheelhouse

Wheelhouse, a SaaS pricing-optimization platform for hosts on home‑sharing sites like Airbnb, needed to expose a sophisticated machine‑learning backend through a simple, intuitive UI for less technical users. To understand whether users were grasping new flows and controls, Wheelhouse turned to LogRocket and its session‑replay/analytics capabilities to observe real user interactions.

Using LogRocket, Wheelhouse replayed user sessions to pinpoint where people dropped out of a new onboarding funnel and which UI elements caused confusion, then updated the flow to improve conversion. LogRocket also streamlined engineering workflows by attaching sessions to bug reports—eliminating “Can’t reproduce” tickets—and helping Wheelhouse significantly improve onboarding conversion rates and speed up bug fixes.

Wheelhouse

Greg Schecter

Product Lead