Data Informed Product Management: Yammer Case Study

In order to increase the number of engaged users, Yammer incorporates data analysis steps into all stages of the product management process from ideation to prioritization to running the project to success metrics.“Data is not perfect, but we try to learn as much as we can from it.”

Join Yammer Product Manager Neil McCarthy and Data Analyst Ken Pascual as they show how they use analytics to inform product opinions, make project decisions, and determine the impact of features using A/B testing.



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This webinar is part of the AIPMM Webinar Series.


Key Takeaways from participating in this webinar:

· How data is used to make product decisions at Yammer from justification to success metrics

· How A/B testing is best used to evaluate the results of risky product changes.

· Definition of p-values

· Case study of how Yammer uses data in their signup flow

· Understanding how data was used, why data was used, what was learned

· Aligning hypothesis statements with business goals

Who Should Attend

Product Managers, Product Marketing Managers, Project Managers, Program Managers, Business Analysts and anyone responsible for data informed product management

Background reading:

Testing Yammer’s Signup Flow

Shortening the Signup Flow Quiz

About the Speakers:

Neil McCarthy, Yammer Product Manager

Neil joined Yammer as a Solution Engineer and soon after made the switch to Product Management. He immersed himself in Yammer’s data informed approach and has since taken an interest in spreading the word. He enjoys jogging and beer, usually not at the same time.

Ken Pascual, Data Analyst, Yammer

Ken worked in yield management at CBS Interactive, was the only data person at Tripit.

Moderated by Cindy F. Solomon, Global Product Management Talk & Founder, Startup Product.

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