(Part 2/2) FullStory Digital Analytics: Convert Results of Analysis to Product Requirements

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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

Podcast

Check out the transcript here.

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Varun @ products.snowpal.com | learn.snowpal.com
Varun @ products.snowpal.com | learn.snowpal.com

Written by Varun @ products.snowpal.com | learn.snowpal.com

I am a Product Engineer at Snowpal. Subscribe to our APIs to reduce time to market for your web, mobile, & server-side apps.

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