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

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Manage episode 397623717 series 3530865
Content provided by Krish Palaniappan and Varun Palaniappan, Krish Palaniappan, and Varun Palaniappan. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Krish Palaniappan and Varun Palaniappan, Krish Palaniappan, and Varun Palaniappan or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

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

  continue reading

198 episodes

Artwork
iconShare
 
Manage episode 397623717 series 3530865
Content provided by Krish Palaniappan and Varun Palaniappan, Krish Palaniappan, and Varun Palaniappan. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Krish Palaniappan and Varun Palaniappan, Krish Palaniappan, and Varun Palaniappan or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

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

  continue reading

198 episodes

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