1 A Rajashekar, 2 Samyuktha, 3 A Renu Sri, 4 Rohith, 5 Sudheer 03 09 The App Onboarding Funnel User Dropoff Analysis Dashboard is a data analytics and visualization system designed to understand how users interact with a mobile or web application during the onboarding process Onboarding is the initial journey a user follows after installing or opening an application such as registration profile setup permissions feature introduction and first successful use Analyzing this journey helps organizations understand where users stop progressing The proposed system collects userevent information such as app installation app launch registration login profile completion permission acceptance tutorial completion feature interaction and successful onboarding The system processes these events and calculates important metrics such as total users onboarding completion rate stepwise conversion rate dropoff rate average completion time and returninguser percentage The dashboard represents the onboarding process as an interactive funnel Business and product teams can observe the number of users progressing through each onboarding stage and identify stages with significant user dropoffs Filters can be applied based on device type operating system application version acquisition source user segment and time period The system also provides trend and comparison analysis to understand whether onboarding performance changes after application updates or across different user groups Charts graphs KPI cards and tables make complex userevent data easier to understand These insights can help product teams investigate usability problems and improve the onboarding experience Overall the App Onboarding Funnel User Dropoff Analysis Dashboard provides a centralized platform for analyzing user onboarding behavior It reduces manual analytics efforts and supports datadriven product optimization Future enhancements can include AIbased dropoff prediction user journey clustering personalized onboarding recommendations automated anomaly detection realtime alerts and experimentperformance analysis Copyright (c) Journal of Science Engineering Technology and Management Science. All rights reserved 2026