Understand the requirements - Deepstash

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Do it like an engineer

Understand the requirements

To solve a problem, you have to understand exactly what the problem is

When you start solving a problem, be sure to understand the starting point, the end goal, and the obstacles in between. The worst possible thing is to produce a solution that actually doesn’t do what’s expected. 

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SIMILAR ARTICLES & IDEAS:

Basic steps to solving any problem
  • Understand the Problem, so you know you're actually focusing on the the real issue at hand.
  • Create a Plan, so you have a series of actionable steps to follow.
  • ...
Understand the Problem

Often the most difficult step, because it's easy to focus on the wrong part of the problem, or look at the problem too broadly.

The first thing you need to do is reduce it to its simplest and purest form so you know exactly what you're dealing with. While you're doing this, you need to ask yourself questions to make sure you're focusing on the right things. 

Create a Plan

You need a plan with actionable steps. Ask yourself what's barring you from moving forward and make step one. Step one will open doors to other steps. 

Consider which steps will open more doors, add them to the plan, and keep doing that until you get to your solution. Things will change as you act on the plan and you'll need to adapt, so it's best to keep your plan somewhat open-ended and try to include steps that involve preparing for trouble you can foresee. 

Beau Lotto

"There is no inherent value in any piece of data because all information is meaningless in itself. Why? Because in..."

Beau Lotto
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.
  • Any Data, by itself, does not bring clarity. Data is just information, not reality. It does not represent anything in the field of actuality.
  • Data is also, never complete. Getting more and more Data does not equate to getting more clarity.
Incomplete Data is Misleading

Our brains like to fill up incomplete information based on our prejudice and confirmation bias.

As all data is inherently incomplete, we use our minds to fill the missing information, based on the existing data we have, and that can go obverse.