BV Go enhanced analytics

[bstiawan]

• Track specific page title and screen class
  • Each component and pages should be named correctly so that it can be read on the analytics
• Track common user journey
  • Flow from one page to another
• Track key events (conversion)
  • Record event names and set the key event for win/loss

note: standardized milestone on the comment section

[krisnaBukitVista]

Description

This project aims to integrate Firebase Analytics and DataVista across key BVGO features to gain insights into user engagement, behavior, and efficiency. By tracking user interactions, we will measure feature adoption, identify bottlenecks, and optimize the user experience. Firebase will be used for frontend-focused analytics, while DataVista will handle communication usage and expense feature analytics due to their alignment with backend data. Key features include newsletter engagement, guest journey updates, app usage frequency, and league detail engagement.

Problem

BVGO currently lacks visibility into how users interact with important features, limiting insights into user behavior and opportunities for optimization. Without accurate data, identifying friction points and enhancing engagement is challenging. Specific issues include:

• Newsletter Engagement: Uncertainty about which content resonates with users.
• Guest Journey Updates: Lack of clarity on whether users find the update process intuitive or cumbersome.
• App Usage Frequency: Uncertain whether users engage daily or only respond to notifications.
• League Details Engagement: Unknown whether users check league details regularly or only for updates.

Solution

To address these issues, Firebase Analytics will be integrated across the specified features to track user interactions, engagement, and feature usage.

Firebase Analytics Integration:

• Newsletter Engagement Analytics:

  • Track newsletter opens, link clicks, and time spent reading.
  • Generate monthly reports detailing engagement metrics.

• Guest Journey Update Analytics:

  • Monitor the user flow through the guest journey update process, tracking completion rates and drop-off points.

• Daily App Usage Analytics:

  • Track daily app opens and whether users access the app independently or through notifications.

• League Details Engagement Analytics:

  • Track user engagement with league details, identifying daily engagement patterns or notification-based access.

Measurement Metrics

• Data Tracking: Ensure that Firebase Analytics is correctly tracking and recording data for each feature as specified.
• Functionality: Verify that each feature's tracking (newsletter engagement, guest journey steps) functions without errors.
• Monthly Data Reports: Confirm that monthly reports are generated accurately and contain all the key metrics outlined for each feature.
• User Behavior Insights: Extract and analyze patterns of daily app usage and league details engagement to refine user experience strategies.

SLA

• Accurate Data Recording: All relevant user interactions and feature usage are tracked and recorded accurately through Firebase Analytics.
• Feature Functionality: Each feature must record and report data as planned, without errors in tracking or data loss.
• Reporting Reliability: Ensure that monthly reports are generated on time and reflect accurate, comprehensive data.
• Ongoing Monitoring: Regular checks to ensure that data tracking remains functional and up-to-date with any changes or updates to the platform.