Simplifying vs Oversimplifying vs Acknowledging Complexity

As analysts, we need to work with complexity, while simplifying for end-users, yet avoid oversimplifying. Naturally, this is easier said that done …

Simplifying for others: This is incredibly important. If you can’t explain the problem and findings to someone in 25 seconds or less, you 1) will likely lose their attention, and 2) possibly don’t understand it well enough yourself to explain it yet.ย That’s our job. We work with the details and bring others in on the conclusions.

Oversimplifying: The balance required is to simplify the final conclusions without oversimplifying the problem, the data, or your analysis. The struggle, however, is that our brains are hard wired to simplify information.

Think about the amount of stimuli your brain receives every day. For example, you are crossing the street. I am outside. I see a long stretch of gray. That is a road. There is a red thing coming towards me. I hear a noise. The red thing is making the noise. That red thing is a car. Cars can hit me. It is going at 45mph. I am stationary. It will reach my location in 4 seconds. I will take 10 seconds to cross the street. I should not walk yet. And of course, I’m completely understating all that goes through our brains for even simple tasks. If our brains didn’t find a way to make sense of a high volume of inputs, we simply wouldn’t function.

Acknowledging Complexity: The challenge for analysts is to try to simplify the answer, without oversimplifying the questions along the way. If you make erroneous assumptions because it (over)simplifies your analysis, you could end up drawing the wrong conclusions. You will probably make your analysis easier, but render it less valuable.

We need to acknowledge, work with (and enjoy) complexity. (And we had better get used to it, because the digital measurement space is not getting simpler.) However, we need to avoid oversimplifying more than is necessary to sift signal from noise. We need to question what we know, evaluate what we assume, and separate fact from opinion.ย And if in doubt, invite someone else question you or poke holes in your analysis. Chances are, they’ll spot something you didn’t.

5 thoughts on “Simplifying vs Oversimplifying vs Acknowledging Complexity

  1. In other words: complex thinking, simple talking, no shortcutting important details. Love it.

    I guess though it should be mentioned that it ain’t that easy to get there. ๐Ÿ™‚

  2. Exactly, Cladiu. And you’re right, it ain’t easy. I was (over?)simplifying that part ๐Ÿ˜‰

  3. Great post, Michele. Totally agree. I think it goes very will with Godin’s recent post (below). I think that the problem sometimes comes in trying to simplify a whole that is too big to simplify = oversimplification. Sometimes, it’s necessary to break it into pieces and keep those pieces simple. And sometimes, it’s necessary to keep those pieces a secret until people are ready to consume them. Analysts often want to convey the complete picture they have in their head, sometimes to their own detriment. It’s important to come up with a sales strategy, and consider that you may need to utilize a few trojan horses early in a thread of analysis to create the environment for your bigger point later on down the road. If there’s one thing I’m guilty of not doing, it’s this!

    Here’s Seth’s post, with a great point about “complexity over time”:

    http://sethgodin.typepad.com/seths_blog/2010/12/the-answer-is-simple.html

  4. Thanks for the comment Evan. Absolutely agree with you. Think of it as a pediatrician explaining a procedure to a child – your job is to explain the complicated, make it sound simple, and NOT scary ๐Ÿ˜‰

    On a side note, if there’s one thing I want to learn from Seth Godin, it’s brevity. Time after time I’m impressed at how quickly and smoothly he gets a point across! It inspires me to try and keep chop chop chopping words out of blog posts without losing the message.

  5. The fact is that simplicity and complexity is also relative to your audience. You have to understand your audience before delivering the message.

    I often find that only by sharing an idea with somebody else, even if the other person doesn’t contribute or find a “hole” in your argument, you are able to see it with different perspective.

    Perhaps Seth Godin has a good group of people to run his ideas against before any post goes out. ๐Ÿ™‚

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