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
LATEST POSTS
Product Management and the Internet of Things
April’s ProductTank London considered the question of how to manage devices in an increasingly interconnected world. Marc Abraham (@MAA1) brought us three great speakers to share their experience of the Internet of Things (IoT), product management and connected devices: Usman Haque (@uah) from Umbrellium; Yodit Stanton (@yoditstanton) from Opensensors.IO; and Patrick Bergel (@goodmachine) from Animal Read more »
What I learned from building the same MVP 3 times, on 3 continents
As explained in my earlier post, in summer 2013, I built the same minimum viable product (MVP) three times on three different continents. It was an experiment with a purpose: To evaluate three platforms and three teams at the same time; and to utilize the “lean way” in using validated learning to build my new company’s Read more »
How I built the same MVP 3 times, across 3 continents in 3 weeks
I built the same product three times. It wasn’t an act of insanity. It was my way to get my product ready in three weeks. Before I get to that, let me backtrack a little. It was the 1st of March 2013 and I’d just left my job as CIO at one of the UK’s Read more »
Video: Lean, Fast Feedback and Leopard Print
Challenging your assumptions can pay off. This is what UK retailer Marks & Spencer (M&S) discovered when they created a digital lab and started applying Lean Startup techniques to their products. At ProductTank February, Hemal Kuntawala (@hemalkuntawala) talked us through some of the specific insights and assumptions they wanted to challenge. Each assumption is met with a Read more »
Video: Easy A/B Testing F**k-Ups
Your tests suck. There, we said it. Or at least Conversion Rate Optimisation (CRO) expert Craig Sullivan (@OptimiseOrDie) thinks so. He’s made just about every mistake in the book with his own tests, and has seen others fall in the same traps over and over. At ProductTank February, Craig gave us a detailed and practical Read more »
Product Management in Commerce: Online, Offline and Mobile
As the UK shops itself out of recession, it was more than fitting that February’s ProductTank London was all about product management in commerce: online, offline and mobile. This month we had three eye-opening talks: CEO at Depop Runar Reistrup (@runarreistrup) talking about mobile design for the real world; “the Malcolm Tucker of testing” Craig Read more »
Using behavioural design to make more engaging products
How do you get users to want to do what you want them to do? No matter how much effort you put into an amazing marketing site, a slick launch campaign or a frictionless user on-boarding flow, you may still end up tearing out your hair about low retention rates and falling user engagement. That’s Read more »
Video: Using Data & Insight in Developing New Products
Taking an idea from crazy pub conversations to launch can be a daunting and difficult process. At ProductTank October, Jo Binding, the former General Manager of Strategy & Product Development at BT Sport made a case for using analytics effectively every step of the way. Jo covered off the analytics that were involved in the Read more »
Video: Data-Driven Nonsense
At ProductTank October, Lee Duddell, the Founder & Head of UX at WhatUsersDo, spoke about some of the potential pitfalls of using analytics. He argued that data is often incomplete, and that blindly following data can lead to incremental improvements that may actually hinder progress on your product. What’s more, he demonstrates how it’s easy Read more »
Multi-Armed Bandit Testing
Multi-armed bandit testing involves a statistical problem set-up. The most-used example takes a set of slot machines and a gambler who suspects one machine pays out more or more often than the others. For every token, they need to decide which slot machine to use in order to maximise winnings from their budget. This set-up Read more »