809: How to Make Wise Decisions using Quantitative Intuition with Paul Magnone

Pete Mockaitis
Paul, welcome to How to be Awesome at Your Job.

Paul Magnone
Thank you for having me, Pete.

Pete Mockaitis
I’m so excited to dig into your wisdom but, first, I think we need to hear about your time working as a DJ when you were in college.

Paul Magnone
Oh, geez. Well, this was back before CDs were popular. We actually had a record library. So, this was carrier current radio, I didn’t do parties. It was college radio. And it was just being at an engineering school, it was a very liberating evening, whether it was Mondays or Tuesdays, depending on the semester, very liberating evening to go in there and just go into the record library, and do your thing. And it was me and a friend, Jim, who maybe he’ll be listening to this. I’ll tell him to listen in. And he would go and get every Led Zeppelin album, and then he would say, “The rest is up to you.”

So, depending on what was happening on a given week, I would manage the programming, and it was a little David Letterman-ish on the commentary side, but certainly heavy rock and roll, and it certainly scratched an itch in the midst of all the engineering school.

Pete Mockaitis
That’s funny. Well, when you talked about Led Zeppelin, that reminds me, isn’t that like the quintessential DJ thing to say, “Get the Led out”?

Paul Magnone
There you go. Well, you would go and get all the Led Zeppelin and not care about anything else. So, I said, “Do you like anything other than Led Zeppelin?” He said, “Yeah, absolutely, but you handle all that.”

Pete Mockaitis
That’s great. Well, that’s a great system there for decision-making right there, is that he had a system which was Led Zeppelin, and you had to work a little harder with your music decision-making. That’s my forced segue, Paul. How am I doing?

Paul Magnone
They’re pretty good. Pretty good, yeah. So, it was option one was always locked in, and then it was what was the next option, so.

Pete Mockaitis
All right. Well, so you have codified some of your wisdom in the book Decisions Over Decimals: Striking the Balance between Intuition and Information. And, can you tell me, when it comes to this decision-making stuff, do you have a particularly surprising or fascinating discovery that you want to share right off the bat?

Paul Magnone
Yeah, I think why this is intriguing to people, and we’ve spoken to thousands of executives and probably thousands more students as we teach at Columbia University when I say we, first of, it’s myself and Oded Netzer, who’s the Vice Dean of Research at Columbia Business School, and Christopher Frank, who is currently Vice President at AmEx Market Insights, leading the market insights team there. And we’ve come together over the past seven years, and we teach what we have learned.

So, obviously, there’s a heavy dose of theory here, but we’re practitioners, we’re in the trenches. And so, what we reflect back is “What are the practical tools and techniques that lead to better decision-making?” And you start to discover that it’s a hot topic but it makes people anxious. So, we live in a time today when data is exploding and yet it feels invasive and intimidating. So, for a lot of people, data is just not fun. And other people say, “I love data,” and then they kind of fumble the football.

So, in reality, we’re fortunate to have this staggering amount of information at our fingertips and yet we often hear people say, “But I don’t have enough data.” Okay. Well, maybe you’re not putting things in perspective. And, ultimately, with all this information and all these things that are flowing by, we consistently see poor decision-making and wasted investment, wasted resources at companies, wasted just time and effort and so forth, and we took a step back and said, “Well, why is this? Is it caused by fear, or overconfidence, or bias?”

And we realized that, with some focus and some of the techniques that we talk about, we can build a tribe of better decision-makers and maybe make a dent on all these wastes. That’s kind of our motivation behind it all.

Pete Mockaitis
All right. Well, that sounds exciting and I’d love to dig into just that. I’m intrigued then, in your subtitle, you got “Striking the Balance between Intuition and Information.” We’ve got boatloads of information. When it comes to intuition, first, could you define it for us and what’s its role here?

Paul Magnone
Yeah, so that’s a great question. And the fact is where you’re constantly challenged by people saying, “So, you’re going to teach me intuition? Don’t you either have it or don’t have it?” And the answer is, “Well, people often have intuition and they’re not listening to it.” And so, when you look at what’s referred to as the theory of learning, there’s competence and complexity. So, you begin, think as a toddler, you don’t know what you don’t know. And, suddenly, you start to put some things together, you start to hear some things, and you start to see patterns, and you start to learn.

And then, as you start to learn, you realize there are things that you don’t know. So, now you’re at the next level. You’re now conscious about your incompetence. And as you progress up this ladder, and there’s multiple steps along the way, you eventually get to the age of…or to the point of a teenage driver, a driver for the first time. You’re now, hopefully, consciously competent, you know what your limitations are, you know what’s happening around you. And by the time you get to be a seasoned driver, you don’t have to think so much when you’re making a choice.

When you’re driving and you’re a seasoned driver, and there’s a snowstorm, you might turn down the radio a little bit because you want less input signal, but you have a sense, and you’re sensing with your fingers what’s happening, you’re sensing all around you, and you might not even sense what’s about to happen but you see up ahead, “Hey, I remember that when I get to a curve like that, in a situation like this, with the weather this way, I should probably do the following.” So, there’s a sense of acumen that builds up over time.

And the fact is, in a business world, we say, “No, no, I just want the data. Just tell me how much it’s snowing. Just tell me the tire pressure.” Really, is that all you need to know? Or, do you really need to sense and respond in real time, and really get a sense for what’s happening? And really terrific leaders talk about the fact that they have a feel for the business. So, let’s take your question and go ask some business leaders, “What do you mean by feel for the business?” They may have different answers, but, ultimately, it’s some level of intuition about their business, how it’s impacted by the world, how their business impacts the world.

And so, this notion of intuition is the companion to all the data that we dive into or that we think we want to dive into. And so, the notion is we have to balance that. So, rather than make a decision based on just data, or based on just gut or intuition, trust your gut – there’s another wonderful top gut by a colleague of ours – what we’re saying is that balanced view is what’s important, and threading that needle, and building the toolkit for yourself so you can balance the data and the human judgment, that’s the path forward.

Pete Mockaitis
That’s beautiful. And I see additional interplay there associated with intuition. We have hordes of data at our disposal. It can be hard to even know what sorts of analyses to run on that, and intuition can serve up fantastic questions for investigation or hypotheses, like, “You know, I have a sense that maybe this is going on. Now, let’s take a look at data to see, in fact, if it is or is not.”

Paul Magnone
Yeah. And we hear a lot about data scientists, and, “Well, I need a data scientist.” To do what? At the end of the day, there’s a set of people that need to come together to drive a decision. There’s the business leader who should be data-driven, who should be paying attention to the data, but not only paying attention to the data. There is the data scientist, there is the data engineer who brings all the data together, but there’s also a data translator. And that person really ensures that what we’re solving for aligns with the business need.

And we also like to talk about a data artist, because, at the end of the day, we need to tell a story, and you need to compel people to action, and doing that requires you to put all of this in some sort of frame that is understandable and digestible. And so, that’s kind of a team that comes together to say, “Listen, yeah, there’s all these components, but how do I compel people to make a choice and how did we make the right choice?”

Pete Mockaitis
A lot of great stuff there. Maybe to tie some of it together and launch us, Paul, could you perhaps give us a cool story or a case study of a professional who did some great work with both intuition and information to come up with some rocking breakthrough decisions?

Paul Magnone
Well, I don’t know if this was a rocking breakthrough decision, but I will tell a personal story about when I was working for, probably at the time, a Fortune 20, maybe Fortune 50 company. You guys can sort out who that is. And we were investigating whether to work with a heavily backed startup in Silicon Valley, and I was charged with doing the due diligence, the business side of the due diligence, and I had a colleague of mine who was leading the technical due diligence.

And after weeks of investigation, we looked and said, “You know, this is, I think, a fascinating company but we’re not sure even after weeks of investigation,” because when we got to some detailed questions, they hid behind non-disclosure agreements and other issues and so forth. And the technical side we felt, “Well, we could probably recreate what they did but maybe there was something compelling here that we didn’t understand, so maybe we’ll take a flyer on that and give it a shot.”

On the business side, they kept on telling us, “You know what, you’re going to have a wildly profitable business if you base your business on our new technology.” Now, in hindsight, there were some signals that got my attention, specifically, they weren’t answering questions in much detail. And then, finally, after pressing them, their business development lead sent me a spreadsheet, and he said, “Look through this, and you can model out how profitable your business will be based on our technology stat.” And I called them back five minutes later, and I said, “Well, either your spreadsheet is broken or your business is broken.”

And I know I took a provocative approach to my comment there, but that was built on the intuition that we were all starting to build up the perspective that there was something that wasn’t quite right. The spreadsheet, let me describe that for a minute. There was a very large Excel, with one cell that I was allowed to put a number in, and this was a business around computing infrastructure, so servers. So, there 10,000 servers in the cell.

And it showed, when you did all the math, it showed a wildly profitable business running 10,000 servers. And he said, “Put in a 100,000, put in a million. You’re a huge company. You’ll just do more.” So, I put in one server because I want to understand at the atomic level…

Pete Mockaitis
Yeah, fixed costs, labor costs, scale.

Paul Magnone
Yeah, what’s granular. One server. Wildly profitable. And I said, “Oh, that’s interesting.” So, I put in zero servers. Wildly profitable. So, either they had some magic or there was something that was wrong. Now, why do I tell this story? At the end of the day, we had data, we had insights, we had spent time with them, but, really, it was that blend as I described before of a lot of information, or seemingly a lot of information, but our intuition telling us, “We’re really not seeing the right information. There’s something they’re not showing us.”

And by pushing on that button right there, it opened up a further discussion. We, ultimately, wound up not doing business with them.

Pete Mockaitis
That’s good. That’s good. So, tell us, how can we become similar Jedi masters, Paul, to get that sense of, “What’s missing? And how do I push on it?” Any key questions or frameworks or tactics that get us to making more good decisions more often?

Paul Magnone
Sure. Sure. So, there are really three fundamental ideas to lean on, I think, behind the book. So, leaders have just an enormous amount of data but we all see it. They’re not making better decisions. So, why is that? So, they’re denouncing the data, or they’re choosing to trust their gut, or they’re spending so much time trying to get a perfect decision. And they think the same data is the new oil so there’s spending as much as they can to build a bigger and better data refinery for that oil.

When, instead, what leads to a great decision is the balance that we’ve been talking about. So, that’s the first thing. Don’t lean in to one side or the other. Focus on that balance. The second thing is you don’t need to be a math whiz to drive great decisions. The smartest person in the room is the person who asks the better question. And that person, that leader, blends information and the intuition and the experience, as we described before, that leads to the better outcomes.

Think about it, you’re in a meeting, and the person who had the factoid, you don’t go up to that person and say, “That was amazing that you had that fact at your fingertips.” But the person that asks the question that nobody expected, that insightful thing that cuts right through, that’s the person you want to go have coffee with, right?

And the third thing is, as humans, we are terrible decision-makers, and, largely because we don’t have our bearings. And so, one way is to really explore what’s happening in the decision and the moment that you make it, and one way to look at it is you’re balancing time, risk, and trust. And if you think about that, “Do I have no time? It’s a crisis, or, do I have a lot of time?” Are you a fireman or are you in Congress? Do you have a lot of time?

Is it a high-risk or a low-risk situation? Are lives at stake? Are billions at stake? Or is it a throwaway decision, and it’s a reversible decision? Some decisions people agonize over and yet they’re reversible. And then the last part, trust, do you trust the data? Do you trust the person that gave you the data? Do you trust the organization that stands behind that data?

So, as you triangulate all those three, that in itself is a framework that should help you make some better decisions. Ultimately, we pull all this together and we refer to all of this as quantitative intuition, which is intentionally an oxymoron because you’re bringing the quant side with the intuitive side. And we define that as the ability to make decisions with incomplete information, and you’re using three techniques: precision questioning, contextual analyses, and the synthesis to see the situation clearly.

Pete Mockaitis
All right. Well, could you perhaps walk us through an example in which we’re applying these principles to an actual decision?

Paul Magnone
Sure. So, let’s talk about a day in the life of one of your listeners.

Pete Mockaitis
All right.

Paul Magnone
Because you love your listeners, of course.

Pete Mockaitis
We sure do.

Paul Magnone
There you go. So, your leader comes in on a Monday or a Tuesday, and says, “How do we react to this headline from the competitor?” Or maybe you’re beginning a planning…yeah, right? I mean, it’d never happen.

Pete Mockaitis
My first question is which headline and which competitor?

Paul Magnone
Yeah, yeah, right. But everybody at this moment is thinking this just happened yesterday. Or, maybe you’re beginning a planning cycle for a new product launch. Or, maybe your business is in decline and you’re trying to decide where to place the resources that are scarce. So, in each case, regardless of your role, if you’re in product or sales or marketing or manufacturing, everybody’s taught like a bias to action, so they start to jump in, “What? Let me go dive in.”

And what you should be doing is defining what problem you’re solving first. So, put that problem in context, “Here, our competitor announced this. Here’s the headline from our competitor. Let’s zero in on that one.” Well, put it in absolute terms, put it in context, absolute terms. Look at it over time and relative to what’s going on elsewhere.

So, the competitor said, “I just sold 100 shovels yesterday.” “That’s awesome. I sold 200 shovels yesterday.” Or, “I sold 200 and the competitor sold 500.” While you’re busy high-fiving that you sold 200 shovels, your competitor is walking all over you. By the way, why did that happen? Well, there was a freak snowstorm in July. Okay, so were you going to base your business and change your strategy based on an anomaly? No.

So, what are the assumptions that are going into that decision? Do you believe those assumptions? Is that true? And is it maturely important to your business or is it a blip? These are kinds of the things that you need to think about, those parameters, so we can go through any number of examples. But I think your listeners are probably living this every day.

And through this all, they need to synthesize all these different datapoints. So, we preach a lot about synthesizing. What happens most often is people are in meetings and you’re summarizing what you already know, or you’re summarizing to get to a point that you think the boss has already said because they’ve already anchored you somehow with one of their early comments. So, synthesize the datapoints and then go to the data after that. Then go to the data, right?

So, start with those first principles, “What is it that we really know? What problem are we solving? Do we really want to grow a product line, or are we stable, or are we under attack?” And then make a recommendation after you’ve set the frame for the problem, and then interrogated the data. So, this is what we refer to as being a fierce data interrogator, not a random data interrogator.

So, ultimately, we think of this as jazz. It’s not waterfall because a lot of the behaviors in these different disciplines – products, sales, marketing, manufacturing – tends to be rigid, it tends to be a waterfall, and they don’t read and react – to borrow a term from sports – they don’t read and react in the moment. And, ultimately, it needs to be jazzed.

You know the theme of your business, and you may go often at different directions but you’ll come back, and the drummer is going to go and do something, and, hopefully, it fits in the context, and you’re going to come back. So, it’s jazz. Go to the question, go to the technique that’s valuable in that moment, and don’t just rely on kind of the rigid thinking.

Pete Mockaitis
So, when you talk about jazz, I’m imagining it like, for marketing, “We launched a campaign, and then we see how it did, and then we interrogated, in terms of we get some contexts. Like, how well is that campaign performing based on general benchmarks, or historical other campaigns, or competitors, if we can know that?”

And then you say, “Oh, wow, that’s awesome. Let’s double down the budget in this channel with this messaging to this segment,” or, “Uh-oh, that’s very disappointing. Let’s perhaps reallocate budget in a different vibe.” So, it’s like jazz in that something happens and we respond in flow to it as oppose to, “Nope, it says in this quarter we’re spending $50,000 on Facebook ads, and that’s what we’re doing.”

Paul Magnone
Right, “Let’s go to the spreadsheet and say what I’m permitted to do.” That’s not thinking. That’s reacting. And that same marketing lead, marketing team, what you described is Monday morning. Wednesday morning, they have a different headline, and their competitor just announced something that’s shocking. So, in one scenario, they’re being proactive on a product launch and seeing the results, and then doubling down, as you said. In another scenario, they’re suddenly under attack, and that was all in the same week. So, how do you make decisions in those different situations, right?

Pete Mockaitis
All right. And so, I want to talk a little bit about your phrase quantitative intuition. It sounds like you described a bit of that. But how do we get better at that in terms of this number feels high, wrong, low, crazy? Like, how do we know that or get there?

Paul Magnone
Right. Well, we try to not say crazy but, yeah, it’s really those three dimensions that I talked about at the end there. It’s precision questioning, contextual analyses, and syntheses. So, let’s break all those down. Precision questioning, as I said before, we tend to kind of react to the factoids and not take a step back, and say, “Well, listen, let’s put all this in context. What are the first principles? What are the fundamentals of our company? Am I reacting to an anomaly? Or, am I really making a decision based on a thought-out element?”

And precision questioning is really a technique where you will ask, “You know what, I want to understand what to do with a millennial audience.” “Great. Could you say more?” “Well, I want to understand how to sell this product to a millennial audience.” “Any millennial audience?” “I want to understand how to sell this product to a millennial audience that has this kind of budget.” You’re asking more granular questions until you get to an atomic level that people say, “Oh, what you’re really looking for is this well-defined decision, this well-defined task.”

And most often, we don’t spend the time to get granular. And one of the techniques that we talk about to do that is, we call it an IWIK framework, “I wish I knew,” and just the nature of that question implies permission, “What is it you want to know? What is it you know about a millennial?” So, spending the time, it requires a little patience. But spending the time upfront to do that precision questioning to narrow and get clear about it, to get concise about the thought, is critically important. That’s the first piece for precision questioning.

The second piece is the contextual analyses. So, as I said before, look at everything in context. What is the situation in absolute terms? What is it over time? What is it relative to what else is going on with my competitors, with other divisions in my company? And as you look at that context, you’ll come to the realization, “This is important to my business or not. Is this a blip? Or, this requires us to really consider a change to our strategy.”

And then the last piece is the syntheses, which almost no one does. Everyone summarizes and gives you every piece of information. Some of this is pride, “Look, I spent three weeks putting together 47 incredible spreadsheets and reports.” “That’s awesome. Put that in the appendix and tell me what you’ve learned from that. Tell me what’s surprising you in that. Tell me what is crystallized that you, as a smart person that we hired into this company, believe based on what you’ve just interrogated.”

Most of the time, people bring that to their leader, and say, “Look at all this work that I’ve done.” And the way we like to think of syntheses is everybody is the director of a movie. If you look at a movie, maybe an hour and a half, two hours, there’s what? Hundreds of hours on the cutting room floor because you don’t have to tell every detail. You can put all that in an appendix, but focus on what’s critical and what matters.

In journalism, they talk about not burying the lead, being very critical about what is the most important aspect. And we get away from that in business. So, you pull all that together and that’s what we refer to as quantitative intuition. And so, we talk about a set of techniques to go through that.

Pete Mockaitis
Beautiful. Thank you. Well, I’d love to hear, do you have some super favorite questions that you’ve relied upon and you find super valuable in many different decision-making contexts?

Paul Magnone
So, yeah, it’s a great question. And we’ve talked before about putting things in context, which I think is one incredible pillar. But one of my favorite questions is a very short question, which is, “What surprised you?” Real simple. And the fact is if anyone has ever gone to a party, what happens when you leave the party? The people that you’re at the party with don’t talk about, well, yes, they had enough drinks, they had enough food, but that’s not the conversation. It’s what surprised them about the interaction between people, what surprised them about a particular situation.

So, in our personal life, we make the space and we give ourselves permission to have a conversation about surprise. But in the business world, no, no, no, the boss wants to talk about this, “I have a sneaking suspicion that we should be interrogating this other dimension but I’m not even going to bring it up.”

So, if you make the space for surprise, if you have the courage, or, as a business leader, you ensure that your team feels empowered to say, “Yup, we’re going to do the analyses that was asked for, but I’m going to make the space for surprise, and say this is an outlier that doesn’t make sense. This is an outlier that I think we should interrogate more. Or, really, we’re investigating the wrong thing, and the surprising thing is here’s a critical issue.” So, be open to that surprise and make the space for that conversation.

Pete Mockaitis
I love that question. Please, Paul, more like that.

Paul Magnone
Yeah, we talk about IWIKs, “I wish I knew,” that’s probably one of the most critical techniques that we talk about. And, really, as I said before, you’re going back and forth between these various techniques, and you may find something in the surprise. This gets back to the jazz. When you have that surprise conversation, people can then say, “Oh, you know what, I want to go back and redefine the problem. I want to go back and maybe do a different set of IWIKs to explore an area, explore an adjacent area, explore a different area because, now, I’m tuned a little differently.”

So, really, it’s a lot of back and forth with these techniques. We also talk very much about guesstimating because, at the end of the day, what we’re taught from grammar school and up is “What’s the answer? What’s the number?” And mathematical precision matters, I’m an engineer by training. Everybody of the three authors were all technical, but guesstimating is really helpful.

So, the classic problem is, “How many piano tuners are there in Chicago?” Well, you don’t need a census to go do that. You can figure that out on the back of a napkin. And the majority of people are asked on a daily basis to provide an estimate on the back of a napkin, “Well, what do you think? What’s in the zone here?” because we can course-correct once we know that we’re in the zone. And they’re at a loss for, “Well, how do I guesstimate?” So, we talk about a series of techniques around guesstimating.

Pete Mockaitis
You’re bringing me back to my case-interview days, Paul.

Paul Magnone
There you go.

Pete Mockaitis
Good times. All right. Well, so lots of good stuff. Could you bring it together in a cool example in terms of a person or a team used a number of these techniques from beginning to end to reach a fantastic decision?

Paul Magnone
Sure. One other company, this is one of the other authors had this direct experience, so we will again mask the company to protect the innocent or goofy, either way. But there was a question around what was the performance in a region of, again, a Fortune 100 company. What was the performance in a region?

And there were about 47 markets in the region, and looking through the region, they did the analyses. They practically looked at IWIKs, and said, “Here’s what’s important in the region. Here’s what we’ve discovered,” and made their quarterly business recommendation on where to put more investment, how to align the team, and how to allocate the resources.

At the end of the meeting, the senior leader said, “This is terrific. We really have our bearings here. Is there anything that surprised you in what you’ve seen so far?” And this was Chris, Chris Frank, said, “Yeah, what really surprised me is there are 12 of the 47 segments had a sharp rise in customer satisfaction, and I can’t explain it.”

So, what he did is he buried it in the appendix because it wasn’t terribly clear. And after a lot of time doing the correlation and the analyses, there was no answer to why, and so they were just outliers. So, the leader said, “So, read off what those 12 markets were.” And as he read through them, they mapped one for one with a pilot program that the company had in those 12 markets, and they intentionally didn’t tell anybody because they didn’t want to bias anyone doing the analyses.

And because of leading into that simple question, “What surprised you?” the whole room had a revelation that, “Oh, this is really a better way to engage our customers,” and that led to a multimillion-dollar investment in a customer engagement program that didn’t exist. So, the data was all there but they weren’t looking for it the right way, and they didn’t have the insight from their leader to ask the right question.

Now, if you used these techniques proactively, you would say, “You know what, I’m going to spend 45 minutes on here’s our quarterly business review, business report. I’m going to spend 10 minutes on here are some anomalies and surprises that I think we should investigate more.” So, as a practitioner, as a business person, and you want to be awesome at your job, make the space for that. Insist that, “You know what, you hired me for a reason. Here’s something that I think we should really look at.”

Pete Mockaitis
Beautiful. Well, tell me, Paul, anything else you want to make sure to mention before we hear about some of your favorite things?

Paul Magnone
Yeah, I think that the last piece is about as simple as it gets. When you’re bringing people together, you need to tell them before they even get in the room, “Am I informing you of situations, so everybody’s up to speed and has a common knowledge base? Or, am I compelling you to action today? Am I asking you to make a choice? And then, have I armed you on your team beforehand with everything to make that choice?”

I don’t know how many meetings I’m in where partway through the meeting, because everybody texts during meetings, people are texting each other, “What is the purpose of this? What are we doing? Didn’t we already have this conversation?” So, being very deliberate is very much appreciated, and having a conversation for awareness is fantastic. But setting people up for a decision, and bringing everybody along, that’s really important because decisions are team sports. Bringing everybody along the right way really matters.

Pete Mockaitis
All right. Thank you. Now, could you share a favorite quote, something you find inspiring?

Paul Magnone
Yeah, this is a favorite quote, I use it all the time, “For every complex problem, there is an answer that is clear, simple, and wrong.” And so, that’s from H.L. Mencken, who’s a journalist in the early 1900s, and to me it speaks volumes of what we see today, where people have their fingertips on data and yet are just grasping at what seems to be the very first thing that they can answer with, and they’re not spending the time to dive in to the detail.

Pete Mockaitis
All right. And could you share a favorite study or experiment or bit of research?

Paul Magnone
Yeah, I think I’ll share a book, which feels like a study. It’s Thinking, Fast and Slow by Daniel Kahneman. And so, in some ways, our book Decisions Over Decimals echoes and builds on the system-one and system-two thinking, and we’re providing practical tools and techniques that balance the data and the human judgment.

Pete Mockaitis
Okay. And a favorite book?

Paul Magnone
I’d have to go with The Road Less Traveled, the first version. I think he redacted or refuted some of what he said in his second version. But it’s very much about understanding yourself and how to solve problems.

Pete Mockaitis
Okay. And a favorite tool, something you use to be awesome at your job?

Paul Magnone
Well, I’m partial to the Google tools, and then, of course, the techniques and frameworks that are in this book.

Pete Mockaitis
Okay. And a favorite habit, something you do that makes you awesome at your job?

Paul Magnone
I’m not a practitioner of meditation but I think it’s really important to get centered and take a step back, and say, “What’s really happening?” And I try and make the time to do that, ideally, on a weekend, and really gather and reset. So, however people do that, whether it’s meditation or a night out dancing, whatever works for you.

Pete Mockaitis
Okay. And is there a key nugget you share that really seems to connect and resonate with folks; they quote it back to you often?

Paul Magnone
I’m not sure it’s retweeted but I often say you can have your own opinions but you can’t have your own facts.

Pete Mockaitis
Okay. And if folks want to learn more or get in touch, where would you point them?

Paul Magnone
Well, our website is DOD, which stands for Decisions Over Decimals, it’s DODTheBook.com. You can reach out to myself or Chris or Oded on LinkedIn. And, obviously, in addition to everything else that we do, we teach at Columbia, so multiple ways to get a hold of us.

Pete Mockaitis
Okay. And do you have a final challenge or call to action for folks looking to be awesome at their jobs?

Paul Magnone
Make the space to share what you really think. As I’ve said multiple times, synthesize, don’t just summarize, and create that space to have real dialogue on the issues. So many times, that’s what we want and that’s not what we’re doing. And be brave and bold and make that space.

Pete Mockaitis
All right. Paul, thank you. This has been a treat. I wish you many wise decisions.

Paul Magnone
Thank you very much, and to you as well.