Padhaai App Analysis
Project Code: PAXX
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Mohd Taiyab Khan | Sabah Anwar Azmi
Data-driven insights to improve learning outcomes: Our analysis of Padhaai app user behavior
Data-driven insights to improve learning outcomes: Our analysis of Padhaai app user behavior
User experience, learning environment, educator pride. Source: @gurucool.xyz
Background
Gurucool's Padhaai app is a learning platform designed to help students of all ages and backgrounds improve their academic performance. The app features a range of learning resources, including video lectures, quizzes, and interactive exercises, across a variety of subjects and topics.
As a data analyst at Gurucool, our project has focused on tracking and analyzing user behavior on the Padhaai app to better understand how students are using the app and what features are most engaging and effective. Using tools such as Google Analytics, Microsoft Clarity, and Google Data Studio, you have been able to collect and analyze large amounts of data on user behavior, including which courses are most popular, which features are most used, and how long users spend on the app.
With this data, we have been able to identify areas of the app that are performing well and areas that could be improved. For example, we may have found that certain types of content, such as video lectures, are more engaging than others, or that certain features, such as quizzes or discussion forums, are underutilized. By analyzing user behavior in this way, your team can make data-driven decisions about how to improve the app and enhance the user experience.
Overall, we are helping Gurucool to gain a deeper understanding of its users and their needs, and to create a more effective and engaging learning platform. By continuing to track and analyze user behavior, we help to ensure that the Padhaai app remains a valuable tool for students seeking to improve their academic performance.
Resources
Google Analytics
Google Tag Manager
Firebase
Microsoft Clarity
Database of Gurucool
Team Updates
Got the Firebase Access with Google Analytics
Created a Dynamic Dashboard with Google Data Studio.
Tried implementing it with Hotjar & Microsoft Clarity, Later Implemented Clarity only and finalized it.
Created a new data stream for GTM & GA & Created Events to Monitor (83+ Events).
Monitoring and creating a weekly report using Google Data Studio, Updated it accordingly.
Extracted & Cleaned the to analyze the top courses of Padhaai App & Bits for Notification & so on and so forth.
KPIs of Padhaai App
Monthly Active User
User Engagement
Retention Rate
Event Count per User
Customer acquisition cost
Future Pointers
Moving forward, there are several areas we could explore to improve our understanding of user behavior on the Padhaai app. Some possible future pointers include:
Deeper analysis of user engagement with specific features and content on the app, such as video lectures, quizzes, or discussion forums.
Conducting A/B tests to identify which app features and designs are most effective at engaging and retaining users.
Exploring the use of machine learning and predictive analytics to better understand user behavior patterns and anticipate user needs.
Incorporating feedback from user surveys or other qualitative data sources to supplement our understanding of user behavior and motivations.
Continuously refining our data tracking and analysis processes to ensure we are capturing the most relevant and actionable insights from user behavior data.
Tech Inclusions
Implementing Hotjar & Clarity
Database Access
Looking to Integrate MixPanel as it can detect both web & app based parts of app.
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