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.
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…
Certifications — Are They Worth It?
I’ll be attending my second formal training this year, getting my Certified Scrum Master certification to match the Certified Product Manager certification that I picked up earlier this year. After 15 years in the business, you might wonder why I’m just now getting around to being “certified”, and I hate to say it but the real reason is simple — the company I work for is paying for it. Otherwise, I’d happily chug away for another 15 years without any form of certification, because I firmly believe that the experience that I have in transforming companies into agile engines is far more valuable in the abstract than any specific certification that I might collect along the way. But, there are a few times when and where a certification might be worth pursuing…let’s talk about those today.
10 Questions with Stephen Cognetta
One of the best things about my blog and other activities is to meet new and interesting people in the Product Management community. Today I’m happy to present the latest in my 10 Questions series, featuring none other than Stephen Cognetta. His latest project is an ambitious online Product Management interview course that was launched just last month. Stephen’s a really great guy, and a strong voice in Product Management; in his own words…
Stephen Cognetta is the founder and CEO of PMLesson, the best online PM course focused on practice-based learning. Stephen is passionate about mental health and has also founded HackMentalHealth, the world’s largest community of mental health + technology advocates. Stephen is a minimalist and owns under 115 items.
Without further ado, here’s his installment of 10 Questions with the Clever PM!
Data v. Opinion: The Ultimate Battle
One of the challenges that we commonly run into as Product Managers is the battle between opinions and data. And though it would be nice to pretend that data always wins, and that there’s always truth in Jim Barksdale’s famous quote, “If we have data, let’s look at data. If all we have are opinions, let’s go with mine,” we know from practical experience that this is simply not the case. Let’s talk about some common situations where data bends to opinion… [Read more…]
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