You Ask, I Answer: Making Better Leadership Decisions?

Conor asks, “Why do you think some business leaders stumble when making decisions? What do businesses leaders need to make better decision? Should they be approaching decisions differently?”

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Machine-Generated Transcript

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Christopher Penn 0:13

Why do you think some business leaders stumble when making decisions? What do business leaders need to make better decisions? Should they be approaching decisions differently? One of the things that we talk about a lot, is data driven, whatever they do different business data driven strategy, data, data driven marketing.

And what that means, and this is where a lot of business folks do stumble, is that you are data driven when you’re using data as the highest priority decisioning factor when you’re making a decision.

That’s not to say it’s the only one there are things like experience and intuition and tradition that you may incorporate into your decisioning process.

But very often, the whole reason for people focusing on data driven decisioning, is that they don’t trust those things, right? You don’t necessarily trust your intuition, because your intuition may be substantially biased.

You don’t trust tradition, or this is the way we’ve always done it.

Because the way you’ve always done it may not apply to the world or the decision that you’re trying to make now.

Experience, the same was true there, where your past experiences may not reflect the present.

Nowhere is this more true than now.

And really, anytime after April 1 of 2020, when the pandemic was really in full swing and the world that we knew the world that we had experience around, even the world that we had data around, is gone, it’s gone, and it’s never coming back.

We know that from things like the great resignation, the pandemic spurred this massive dislocation and employment and got a whole bunch of people thinking about, well, maybe there’s something else I want to do with my life.

And the employment market certainly shows that.

So data driven decision making is probably the most straightforward path for a lot of business leaders to take.

However, they’re not doing it because they don’t.

They’re stuck in their, in their old ways.

They’re stuck in their old habits.

When we consider a decision that we’re trying to make, as business leaders very often there’s ego involved, right? You may look at the data around a series of projects that you’re doing.

And you may say, Well, you know, this project is underperforming, but it’s your pet project is the thing that you love.

And so you keep it even though the data says it’s not worth it.

So in order to become a data driven, decisioning organization, you have to be willing to make decisions based on the data that you have.

Whether or not you like those decisions.

And I remember at one point, I was doing this one particular marketing campaign, I really enjoyed the way that marketing campaign work.

I enjoyed creating the content, I enjoyed promoting the content.

But the data said, it’s not working, there’s no measurable impact, and it consumed a lot of time.

And so to be true to the process of being data driven, in my decision making, I had to, to put that project on pause right, you have to kill your sacred cows.

If the data suggests that, or the data just outright tells you it’s not working.

In order to make good data driven decisions, you have to have data that is clean, and complete and correct.

Right.

Without those things.

A data driven decision making process does not work.

So leaders need to have data that they can trust that is reliable, that is correct and complete and answers the questions being asked of it.

If they want to do data driven decisioning properly.

The challenge is particularly in marketing, that data may not always be clean, or complete or correct.

Everybody in their cousin who’s ever had a website form has gotten that submission your [email protected] and we know that that’s not correct.

So part of the challenges with data driven decision making is making sure your data is clean.

If your data is filthy, then data driven decision making may not be possible in the same way that if all you have in your kitchen pantry is sand.

baking a cake simply isn’t possible you can make something that looks like a cake, but it’s certainly not going to taste like a cake and no matter how much you wish it were otherwise it’s never going to be a cake.

At least not one that’s edible.

So that would be sort of the big stumble there when it comes to data driven decision making


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