User Behavior & Engagement Analytics Dashboard Using Power BI

Group Category: Business Requirement

Product Category: BI Reporting & Analytics

Sub Category: Power BI

Discover platform usage trends and behavioral insights with rich Power BI visualizations.

Business Overview:

User Behavior & Engagement Analytics Dashboard Using Power BI empowers analysts, product managers, and data learners to understand how users interact with digital platforms. Designed around a structured PostgreSQL schema of a music streaming app, this hands-on product helps you build dashboards that reveal listening patterns, playlist trends, user retention, and cohort behavior. It's ideal for growth teams seeking to optimize engagement and for learners aiming to sharpen their dashboarding and data modeling skills in Power BI.

Product Highlights:

A comprehensive Power BI guide focused on behavioral analytics with 5+ visual template
Covers cohort analysis, playlist engagement, retention curve, and daily usage trends
Uses real-world normalized tables (users, playlists, listening history, etc.)
Built for aspiring Power BI developers, data product managers, and UX researchers
Strong portfolio asset showcasing time-based behavioral modeling and interactivity

Learning Outcomes:

By completing this product, you will:

Learn how to model user behavior datasets in Power BI
Create KPIs and visualizations using DAX and relationship modeling
Build engagement dashboards with slicers, drill through, and filters
Apply time intelligence to derive retention and cohort curves
Use behavior data to inform product growth, retention, and personalization decisions

1/5

user_playlist_follows

| CSV

This file tracks user follow activity on playlists, identifying engagement with curated content.

Enables identification of most followed playlists and top-engaged users
Supports metrics like playlist popularity and creator influence
Useful for assessing user preferences beyond active content creation

user_listening_history

| CSV

This file logs every song play by users, capturing granular listening behavior with timestamps.

Provides the primary fact table for analyzing user engagement over time
Enables visualization of daily/weekly activity, peak listening times, and retention trends
Supports cohort analysis by combining with users.csv
Core for deriving metrics like active users, sessions per user, and churn behavior

playlists

| CSV

This file captures user-created playlists, including playlist titles, descriptions, creators, and timestamps.

Helps analyze playlist creation trends and user content contribution
Allows identification of top playlist creators and time-based creation patterns
Core to assessing user engagement via content generation
Connects to playlist_songs.csv and user_playlist_follows.csv for full playlist insights

playlist_songs

| CSV

This file maps songs to playlists, indicating the song count and content depth of each playlist.

Enables calculation of average songs per playlist and playlist completeness
Supports playlist quality evaluation and user content enrichment
Combines with playlist metadata to assess engagement from both creation and consumption perspectives

users

| CSV

This file contains account-level user data, including subscription type and registration date.

Enables segmentation of users based on account type (Free vs Subscribed)
Powers cohort analysis by registration timestamp
Supports tracking user participation in playlists and listening events
Connects with listening history, playlists, and playlist follows to form a complete engagement graph

User Behavior & Engagement Analytics Dashboard Using Power BI

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