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.
SaaSifying an on-prem offering: a case study
Advertorial Whether your desktop application is competing with SaaS newcomers or you’re working to SaaSify your on-prem offerings, software usage data is critical to making informed roadmap and customer lifecycle decisions. In this talk, Toby Martin, CEO of Extensis, explains how his team worked with the software usage analytics team at Revenera to gain Read more »
Data scaling for startups by Crystal Widjaja
In this #mtpcon Digital APAC keynote, Crystal Widjaja, Executive-In-Residence at Reforge, discusses the impact product people can have when utilising a sensible data strategy. This, she tells us, helps to drive product improvement, create great customer experiences, and achieve defensibility. Watch the talk in full or read on for the overview. Mind the Product members can Read more »
Make Better Product Decisions by Using Quantitative and Qualitative Data, by Brian Tran
In this ProductTank San Francisco talk, Brian Tran, Director of Product Management at User Testing, shows us how we can become better product people by supercharging our data with human insights. His key points include: What makes a product great? Making decisions Qualitative and quantitative data together Watch the video to see Brian’s talk in Read more »
Is your product underperforming?
When we measure product performance, we often overlook “technique”. Separating your KPIs will help you to run better experiments, and think like an athlete. Read more »
How The Growing Importance of Customer Retention is Changing Product Management
The SaaS industry is undergoing a quiet revolution. Competition is increasing, products are becoming less differentiated, customers are becoming less loyal, and the cost of acquiring new customers is rising year after year. It’s within this landscape that retaining existing users has become just as important as acquiring new ones. This article focuses on the Read more »
How do you Build a Qualitative Data Lake?
How do you build a data lake? In fact, what even is one? And what’s the key to understanding qualitative data operations? I’ll share my thinking on these excellent questions, and the process I’m current testing out with my own team – please feel free to share yours too! For basically my entire 10 years Read more »
Testing Business Ideas, by David Bland
David Bland, co-author of Testing Business Ideas, spoke about his process in writing his book. True to his craft, he tested the content of his book as it was written. Watch the video to see David’s talk in full. Or read on for an overview of his key points. Build, Measure, Learn A repeating theme Read more »
Developing a Data-Driven Culture at Dow Jones, By Helen Hewitt
In this ProductTank London talk, Helen Hewitt, Global Head of Data Transformation at Dow Jones takes us through her personal journey with data and her work at Dow Jones in developing their data culture. Her key points include: Driving a data culture How we view our data DataSET Watch the video to see Helen’s talk Read more »
When A/B Tests Aren't Enough, By Scott Castle
In this ProductTank San Francisco talk, Scott Castle (VP & GM at Sisense) shows us how we can use data other than A/B tests and clickstreams to build products with longer, more complex user flows. Given that so many of us work in Enterprise and B2B products, where the user journey is rarely simple or clear, Scott provides Read more »
Using Data to Build a Brand, by Abba Newberry
In this ProductTank London talk, Abba Newberry, CMO at Habito, talks us through how to use data to build a brand. As part of her introduction, she tongue-in-cheek acknowledges that part of the reason why product and marketing sometimes clash is that product teams tend to be very data driven, while marketing teams argue that data Read more »