Most Product Managers have, at one time or another, heard the apocyphal quote often attributed to Henry Ford, “If I asked my customers what they wanted, they’d have said a faster horse.” And when we hear the line, we laugh because there’s no way that we would do such a thing — the “faster horse” is a fictional thing that we’d never actually spend out time and effort working on. We slap each other on the back, smile, and then go back to our office where all too often we return to working on the “faster horse” that we’ve deluded ourselves into thinking is innovative and fresh. It’s an unfortunate fact that much of what we do really is just delivering faster horses, giving our customers what they say they want (or worse, what sales tells us they say they want), and not digging deep enough to uncover the real need, problem, and desire that’s driving the request.
Archives for October 2018
Prioritization is More Art Than Science
A very common challenge faced by Product Managers of all experience levels is understanding and implementing some form of repeatable process around prioritization. Some people take a very light approach, making decisions based on their own experience, data, and beliefs about the direction of the product. Others take a much more rigorous approach, applying scorecards and “objective” measures across a plethora of different possible metrics. I’m here to tell you, there’s nothing wrong with either of those approaches, but it’s also become clear to me in my years as a Product Manager that there’s no “silver bullet” to ensure that your prioritization decisions will be right more often than they’re wrong, and placing too much value in systems and scores often just results in a false sense of security that the “process” was right, when digging in you’ll find that those “objective scores” are nothing more than a system to be gamed. There are, however, three things that I think every prioritization system needs to take into account. So, without further ado, let’s discuss value, difficulty, and instinct…