Product Analytics for Scrum Masters Audiolibro Por Syed Imon Rizvi arte de portada

Product Analytics for Scrum Masters

A Guide to A/B Testing, User Funnels, and Measuring the True Impact of Your Work

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Product Analytics for Scrum Masters

De: Syed Imon Rizvi
Narrado por: Virtual Voice
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Your team just delivered a "perfect" Sprint. The feature was flawless, the stakeholders were thrilled. Three months later, you discover almost nobody is using it. What went wrong?

Your team was a perfect "feature factory." They were masters of output (shipping code), but they were completely blind to the outcome (solving a real customer problem). Their Definition of Done ended at the shipping dock, with no feedback loop to tell them if their hard work actually mattered.

This book is your guide to building that crucial feedback loop.

Product Analytics for Scrum Masters is a simple, non-technical playbook that demystifies the world of user behavior data. Using a powerful "windowless kitchen" analogy, you will learn how to help your team see, measure, and understand the true impact of their work.

Inside, you will learn to:

  • Master the "Windowless Kitchen" Analogy: Effortlessly explain why shipping a feature is not the same as delivering value.

  • Speak the Language of Analytics: Understand the core concepts of Events, Funnels, Cohorts, Retention, and A/B Testing.

  • Evolve Your Definition of Done: Learn how to extend "Done" beyond deployment to include measurement and validated learning.

  • Facilitate Data-Driven Decisions: Use our playbook to guide your team in framing their work as testable hypotheses and letting user data settle debates.

  • Transform Your Team into a Learning Engine: Move your team's focus from a feature backlog to a continuous cycle of building, measuring, and learning.

This book is for Scrum Masters, Agile Coaches, and Product Owners who want to close the loop and lead teams that deliver real, measurable business outcomes.

Stop guessing if your work has an impact. Scroll up and click "Buy Now" to start building a culture of data-informed success.

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