Product School Talk: How to Make Data-Informed Product Decisions by Shutterstock PM

Even teams that think of themselves as data driven can get caught up on the wrong metrics, bias their research, or get confused by seemingly conflicting feedback from users. How do you navigate these challenges to create products that drive the business outcomes they are charged with?  Read More

How to decide which product concepts to test

Mike Fishbein wrote about my approach to determining what to test in “Concept Testing: 6 Lessons From Product Leaders” on This is Product Management. Here’s an excerpt: Holly Hester-Reilly, a product consultant and former Product Owner at Shutterstock, shared her framework for determining what concepts needs to be tested in the first place. Holly plots each… Read More

How to kill a bad idea workshop at Thoughtbot Summer Summit

Yesterday I had the pleasure of running a workshop at Thoughtbot‘s Summer Summit. Thoughtbot is one of my favorite design and development shops, because they are creative, smart people who are great at applying modern best practices like design sprints, design thinking, agile, and extreme programming to build products for their clients. We used them when we… Read More

Strategy for machine learning products in CMS Wire

I spoke with Kaya Ismail of CMS Wire about the need for large data sets and real customer problems to drive successful machine learning (ML) products for his coverage of Hubspot’s acquisition of Kemvi. Here’s an excerpt: Holly Hester-Reilly of H2R Product Science believes HubSpot’s acquisition of Kemvi is a, “smart move for both teams.”… Read More