Case Study: Reimagining FlowList’s Mobile-First Search — Before & After

Design · 5 min read

FlowList, a marketplace for freelance creative services, saw that mobile users were abandoning searches when results didn't load or required too many filters. The team mapped the search journey and found four distinct friction points: slow network assumptions, unclear result hierarchy, hidden filter affordances, and inconsistent preview information.

The 'after' design introduced predictive search with server-side ranking fallbacks, a persistent bottom-sheet filter UI optimized for thumbs, and inline result snapshots showing price, delivery time, and top review highlights. Designers used skeleton states and prioritized visible results over full thumbnails to keep perceived latency low. Accessibility improvements included larger tap targets and clearer focus states for assistive tech.

Post-launch metrics were strong: median time-to-first-result dropped 55%, filter engagement increased 48%, and conversion from search to message initiated rose 22%. The write-up details the rapid prototyping cadence, the instrumentation plan for search relevance signals, and lessons about balancing server-side engineering effort against mobile UX gains.