LearnFlow: Data-Driven Analysis of Engagement, Retention, and Performance

Understanding user behavior is crucial for improving engagement and retention in EdTech. This study analyzes LearnFlow, a digital learning platform, focusing on student engagement, retention trends, and performance. Our goal is to provide actionable insights through a structured workflow of data collection, preparation, analysis, visualization, and reporting.

The analysis covered three key areas: retention funnel analysis identified drop-off points and conversion challenges; learning activity analysis assessed task completion, performance, and satisfaction; and geographic & tech analysis explored the impact of location and device usage. A structured semantic model ensures clarity and reliability for decision-making.

To drive LearnFlow’s improvements, we deliver a cleaned dataset, a Power BI interactive dashboard for data exploration, and a business report with key recommendations.

Data

Raw Data – The initial dataset as collected before any transformation. This dataset was sourced from Kaggle, an open online platform providing publicly available data. It was tailored specifically for this study case to align with LearnFlow’s engagement and retention metrics. (Access it on Kaggle)

Cleaned Data – A refined version ensuring accuracy and consistency. (Explore it here)

Semantic Model – Organized datasets with defined relationships and business logic to support structured analysis. (Access it here)

Power BI Visual Dashboard

Gain insights through our Power BI interactive dashboard, designed to highlight key trends and patterns. (Explore it here)

PDF Dashboard – A structured visual summary of the analysis, providing a clear snapshot of the findings 

Mobile Snapshot – A preview of the dashboard optimized for mobile viewing

Business Report

This report presents a detailed analysis, key findings, and actionable recommendations derived from the data. Explore the full insights in the PDF below.

By leveraging data-driven insights, LearnFlow gains a deeper understanding of student behavior, enabling targeted strategies to enhance engagement, retention, and learning outcomes. This structured approach empowers the platform to optimize its learning pathways and support long-term growth.

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