LATEST POSTS

SUNDAY REWIND: How calm technology can help us be more human by Amber Case

BY Louron Pratt on November 28, 2021

In this Sunday Rewind episode, we look back to when Amber Case, Cyborg Anthropologist spoke at #mtpcon London. In her talk, she discusses the concept of Calm Technology and how it can help us to be more human during a technological age. […] Read more »

Designing for Cognitive Bias - David Dylan Thomas

BY The Product Experience on April 28, 2021

Monika Turska defines the job of a Product Manager as someone who helps make better decisions, faster. But making the right decisions—whether it’s the ones that we’re actively making, or the ones we’re empowering our algorithms to make—requires a real understanding of the environment they’re being made in. We asked Design for Cognitive Bias author, […] Read more »

Responsible Thinking for Product Managers - Expert Advice and Steps for Success

BY Eira Hayward on February 18, 2021 for Prioritised Members

So many missed that a profanity filter would prevent the residents of Scunthorpe from creating an AOL account, that the use of sat navs could ruin previously quiet streets for their residents, or that a social network for university students would end up interfering with democracy. Building responsibly isn’t a headline topic for every product manager. Mozilla […] Read more »

Predictive Tech and Data Ethics: Part 1 - the Pros and Cons

BY Eira Hayward on October 9, 2020 for Prioritised Members

As someone once said, technology companies are quick to focus on what they can do, but not so quick to examine “the how they do it”. Predictive technology may be speeding up digital transformation and be an integral part of our digital lives, but it comes with implications for data privacy and the potential to […] Read more »

Machine Learning for Product Managers - A Quick Primer

BY Alexey Kutsenko on August 4, 2020

Currently, there are thousands of products, apps, and services driven by machine learning (ML) that we use every day. As was reported by Crunchbase, in 2019 there were 8,705 companies and startups that rely on this technology. According to PWC’s research, it’s predicted that ML and AI technologies will contribute about $15.7 trillion to global GDP by 2030. It’s obvious […] Read more »

Cognitively Diverse Teams - Live from MTP Engage Manchester - Rakhi Rajani on The Product Experience

BY The Product Experience on February 26, 2020

At MTP Engage Manchester (February 2020), Rakhi Rajani (Associate Partner at QuantumBlack) joined us for our first-ever live podcast recording. Talking to Rakhi we learned why Engage organiser Adam Warburton called her the smartest person he’s ever worked with as we discussed building teams, hiring at scale, when you need troublemakers, and why she had […] Read more »

How I got my job in Product: Emely Übler, Product Manager

BY Imogen Schels on February 6, 2020

Emely Übler has been working in product management for six years and as a product manager for Koenig & Bauer Coding in Germany for the last 10 months. Here she explains how she got her job and why she sees herself as a bit of a ‘product mom’. I find what we do at Koenig […] Read more »

Cracking The Data Code - Mike Bugembe on The Product Experience

BY The Product Experience on January 29, 2020

W. Edwards Deming wrote, “In God we trust, all others must bring data.”  Product people hold on to this as a mantra – how else can we defend ourselves from random requests? – but we’re not always taught how best to use data.  In this week’s episode, Lens.ai founder Mike Bugembe joins us on the […] Read more »

How AI Is Changing The Product Management Job Description by Mayukh Bhaowal

BY Andres Phillips on January 25, 2020

In this MTP Engage Manchester talk, Mayukh Bhaowal, Director of Product Management at Salesforce Einstein, takes us through how product managers must adjust in the era of artificial intelligence and what they must do to build successful AI products. Mayukh outlines five new skillsets that product managers must acquire. Problem Mapping Data is the New UI […] Read more »

Why Machine Learning Products Should be Managed Differently

BY Mark Barlow on January 17, 2020

Machine learning (ML) based products have particular characteristics and challenges, from data quality to counterfactual problems and explainability. What then are the implications of ML products for team structure, focus, and hiring? Data science jobs are increasing at around 30% year on year, and if you don’t already have a data scientist in your ranks […] Read more »