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The Five Step Approach for Tackling Complex Problems

https://hackernoon.com/five-tactics-to-tackle-complex-problems-at-work-n218y4swm

hackernoon.com

The Five Step Approach for Tackling Complex Problems
In today's world the most valuable employees are the ones who can tackle complex problems. And the best of those are the ones who can make the complex problems look simple. But how can someone actually do that? Below are some tactics I've used which can make a big difference.

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Albert Einstein

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Ask Questions

Ask Questions

The right questions are at the heart of discovery. And one of the very first questions you should be asking yourself is “What assumptions can I challenge?”

The mere act of trying to discover what assumptions you and others are making can give you a new perspective on the challenge you're facing.

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Discover the Core Problem

Discover the Core Problem

Go beyond the basic features being asked for and get to the heart of the problem.

Ask questions like: Who cares about this problem? Why is it important to them?

If there are no good answers to these questions, is the problem even worth working on?

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Divide and Conquer

Divide and Conquer

After you come up with a solution to your problem, take a close look at it.

Which pieces could be split into separate modules or components? Can any of those components provide value independently? If not, can any be tweaked so that they do provide independent value?

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Let your Subconscious Work

Let your Subconscious Work

After spending time researching your problem,  you’ll probably find yourself also thinking about it in your spare time. 

This is when all the different pieces you’ve been studying for so long can suddenly click together in a new way, giving you fresh insight.

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Find your MVP

Think about what would make a good MVP (Minimum Viable Product) for your problem.

Get creative in what you consider an MVP. Maybe showing random strangers at Starbucks a napkin drawing of your app’s layout would be good enough for example.

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Acknowledging the problem

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Data is Not Reality

  • We see organizations and the engineers who work in them steering towards big data, so it is commonly assumed that data means acumen and direction.
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Meta-Learning

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Remembering the right things

You should not waste your time by committing unimportant details to memory. 

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