“Consider organized anarchies.” (Cohen, March and Olsen, 1972) Product management exists within the context of organized anarchies. Within that context, product managers do their best to create, read, update, and destroy elements of a product roadmap. There are a few definitions of what a product roadmap is. From Atlasssian: “A product roadmap is a shared source of truth that outlines the vision, direction, and progress of a product over time.” Another: “A product roadmap can be seen as a key element of an organization that maps out the vision and direction of the product offering. It describes the way how a product or a product portfolio is going to meet a set of business objectives and the work that is required[…]

Leopold makes the argument that business agility isn’t software agility [1]. It’s a very good argument. Here’s a few ways to think about Leopold’s insight. Most products are static. A pie is made, purchased, and consumed. As are most physical goods: toasters, fans, mattresses, tables and so on. Most goods leave a residue behind but their core essence is completed. A toaster will persist in the landfill unless it’s dug up later. Otherwise, it’ll go onto form a line in the geological strata. Most virtual goods are static too. A lottery ticket, a podcast, a book, a brand marketing campaign, an episode of Avenue5. Most of these goods are shipped and then they’re effectively gone from their creators. They leave[…]

Walter Gretzky is credited with the quote: “Go to where the puck is going, not where it has been.” Walter used socratic questioning to teach his son, Wayne, hockey strategy. Here’s the full context from Wayne’s perspective: Him: “Where do you skate?” Me: “To where the puck is going, not where it’s been.” Him: “Where’s the last place a guy looks before he passes it?” Me: “The guy he’s passing to.” Him: “Which means…” Me: “Get over there and intercept it.” Him: “If you get cut off, what are you gonna do?” Me: “Peel.” Him: “Which way?” Me: “Away from the guy, not towards him.” (Gretzy, Reilly, Gretzky: An Autobiography p. 88) Puck On To win a game of ice[…]

The planning fallacy is the tendency of people to underestimate how long they’ll take to complete a task or project. Why are we struggle at estimation? Kahneman and Tversky (1979) thought that it had to do with information input. When people estimate, they tend to consider only factors related to the project that’s in front of them, instead of considering factors from prior experience. The approach of only thinking ahead doesn’t have the benefit of considering more factors and considerations. It may also feel a lot better to think ahead than to recall the painful trauma of failed projects of the past. And yet, the past can be a fantastic source of factors. I’ve had software projects get delayed by[…]

In this post, I’ll outline some of the best parts about product managing data science. Data science is the creation of product from data, requiring a blend of the skills of technology, statistics, and business. Product Management brings and keeps product in the world, requiring a blend of the skills of technology, user experience, and business. All of the challenges of product management appear in data science. And then some. The Knowledge Funnel The Knowledge Funnel is a concept introduced by Roger Martin in Design of Business: Why Design Thinking is the Next Competitive Advantage (2009). At the top of the funnel, you got mysteries. It would seem that there are an uncountable number of mysteries. In the middle, you have heuristics,[…]

The inspiration for this post is John Cutler‘s excellent twitter thread on prioritization. It’s well worth the read. This post builds on that inspiration using Roger Martin’s concept of the The Knowledge Funnel. One big takeaway of John Cutler’s thread is when deciding the sequence of what to do in product management, consider the big picture and think of the impact of what you will do next on what you will know next. What I like about Roger Martin’s concept on knowledge funnels: consider the big picture and think of what you know about value. Product management and data science is all about managing the knowledge funnel. Your ability to manage this funnel is predictive your ability, and those you[…]