(Part 2/2) FullStory Digital Analytics: Convert Results of Analysis to Product Requirements
Software Development, Finance and AI · snowpal.com
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Show Notes
In this podcast, Krish explores the process of digital analysis and how to take the analysis forward. He discusses different approaches to analyzing product usage, including general product usage analysis, client-specific product usage analysis, feature-specific product usage analysis, ad hoc analysis, and usage pattern analysis. Krish emphasizes the importance of communicating the analysis to the product team and translating it into meaningful requirements for the engineering team.
Takeaways
- Digital analysis involves analyzing product usage and user behavior.
- Different approaches to analysis include general product usage analysis, client-specific product usage analysis, feature-specific product usage analysis, ad hoc analysis, and usage pattern analysis.
- Communicating the analysis to the product team is crucial for making informed decisions.
- Translating the analysis into meaningful requirements helps guide the engineering team.
Chapters
00:00 Introduction and Recap
03:58 Communicating Analysis to Product Team
04:59 General Product Usage Analysis
09:34 Client Specific Product Usage Analysis
14:51 Feature Specific Product Usage Analysis
20:39 Ad Hoc Analysis
25:25 Usage Pattern Analysis
31:03 Translating Analysis into Requirements
Snowpal Products
- Backends as Services on AWS Marketplace
- Mobile Apps on App Store and Play Store
- Web App
- Education Platform for Learners and Course Creators