CASE STUDY
Textify
PROJECT INFO
Research Method
Concept Testing
Testing Approach
Remote
Tech Stack
React, Next.js, Spotify API
Users
Enthusiasts, Playlist Curators
Key Feature
AI-Driven Music Recommendations
TEXTIFY – Unlocking Deeper Insights for Spotify Users
Overview
Textify is a powerful insights and discovery tool designed to enhance the Spotify experience by providing users with in-depth analytics about their listening habits. From uncovering genre preferences to analyzing trends in listening behavior, Textify transforms raw data into meaningful insights, helping users discover new music and better understand their unique audio journey.
Problem Statement
Music streaming platforms like Spotify provide vast libraries of songs but lack detailed user insights beyond basic playlists and top artists. Listeners often struggle to track their evolving tastes, explore new genres effectively, or receive personalized recommendations beyond algorithm-driven suggestions.
Solution
Textify bridges this gap by offering an intuitive, data-driven solution that allows users to visualize and analyze their listening patterns. It provides:
Comprehensive Listening Reports – Breakdown of favorite artists, genres, and tracks over different timeframes.
Mood & Tempo Analysis – Insights into energy levels, tempo, and song moods across a user’s library.
Discovery Engine – Smart recommendations based on listening history and trends.
Social Sharing Features – Users can generate personalized infographics to share their music stats with friends.
Design & Development Approach
To create a seamless experience, the platform was built with a focus on clean UI, smooth data integration, and interactive visual elements. The development process prioritized user accessibility, performance, and real-time data processing to ensure users could quickly obtain and interact with their insights.
Impact & Results
Improved user engagement by providing deeper insights into listening habits.
Increased social sharing, with users posting personalized reports online.
Enhanced music discovery, leading to greater exploration of new genres and artists.
