This document discusses implementing event tracking on a public transportation company's route planning tool to better understand how users interact with it. It proposes an Event Tracking Implementation Schema (E.T.I.S.) to uniformly track and categorize events. Case studies found users frequently searched by "intersection" and "identification", so the tool's autocomplete can be improved. While many viewed route details and schedules, few planned return trips, so those features need better prominence. The conclusion is E.T.I.S. will analyze the tool's usability, engagement models will shape user actions, and search options and planning features will be restructured based on usage data and intelligence.
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