Data Driven Product Management
There are many ways in which data-driven product management is described but, put simply, data-driven product management means making decisions based on real-world information. Understanding data-driven product management can help you to use the right data, uncover the right insights, and ultimately build the right product.
FEATURED CONTENT
Critical Thinking for Product Teams by Teresa Torres
Key Experience Indicators for Product Managers by Tomer Sharon
LATEST POSTS
How Duolingo uses AI to enhance its user experience
Digital learning app Duolingo has been on a hypergrowth journey since it was founded in 2011, and now over 20 million active users worldwide. We caught up with Edwin Bodge, Principal Product Manager at Duolingo, to learn more about its product strategy, how AI has helped, and where the product is heading next. Read more »
Storytelling and driving accountability with data
Product leader, James Gunaca, discusses how data-driven narratives, tailored context, and audience understanding can transform product managers into effective storytellers for better outcomes. Read more »
SUNDAY REWIND: Data-driven blunders and how to avoid them
How improper testing, too much data too often, and picking the wrong North Star metric can lead to data-driven blunders Read more »
SUNDAY REWIND: Analytics is not just from Christmas
In this 2016 Product Tank talk, Emer Kirrane, then Product Manager at presentation tools developer Prezi, looks at the ins and outs of analytics. Previously Emer worked on analytics products. But when she moved to Prezi she also had to think about people in order to understand how the whole product is used. She looks Read more »
Evidence-based product decisions (Part 2 of 2) - Itamar Gilad on The Product Experience
In this week’s podcast episode, we jump right back into where we left off in part two of this series with experience product coach Itamar Gilad. We carry on discussing evidence-based decisions, and how this approach can enable teams to achieve key product goals. Read more »
How to build machine learning-based products
In this article, written for product managers, data scientists, and engineering teams we cover some growth areas and ideas on how to achieve more impact while working on building ML-based products. Read more »
How to be a better data-driven product manager
In this Prioritised Ask me Anything (AMA) for members, Emily Tate joined Product Coach, Itamar Gilad, to shed some light on how data-driven product management really works in practice. Read more »
User insights for product decisions by Cris Valerio
In this #mtpcon Digital Americas session, Cris Valerio, Product Manager at Instacart, shares her thinking on why user insights are important for making product decisions and provides some guidelines for gathering the right user insights. Read more »
How to face the challenges of customer retention
Losing customers is hard, especially when you’ve worked so hard to win them. So what can product managers do to improve customer retention? What are the common challenges to look out for? We speak to some long-time product people to get their views and experiences. In brief: Customer retention has a direct impact on company Read more »
An introduction to OODA loops and SaaS scaling - Kausambi Manjita on The Product Experience
What is an OODA loop and how can it be used in product management? OODA stands for observe, orient, decide, and act. In this week’s podcast, Kausambi Manjita, Co-Founder and CEO of Mason joins us to talk all about this concept and how it has been a useful asset in building products and scaling SaaS companies. Read more »