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Making the Most From Your Time (Or, Working Smarter, Not Harder)

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Making the Most From Your Time (Or, Working Smarter, Not Harder)

Spending more time working rarely means you complete more work. If anything, it may mean you get more done but at a lower quality and with more errors and mistakes.

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"Work smarter, not harder," as the saying goes. For most people, this is common sense. There’s many ways you can interpret this advice, from finding tools and techniques to help you automate repetitive tasks to prioritizing tasks that have the highest contribution towards achieving a goal and deprioritizing or even ignoring other less important tasks. Why spend time on a task if it doesn’t help you get to your goal?

After spending a while writing this article, I very nearly decided not post it because don’t most people get this already? It’s kind of obvious, right? Well, it’s only obvious if you already get it, and maybe not so obvious if you don’t. The reason why I felt there’s value to share this is that I’ve come across enough people during my years of working in software development who just don’t get it. If these people can gain even the smallest something from this post, then hopefully they’ll be saved from their misguided attempts to do all the things.

Deciding where to spend your time is like choosing where to invest your money. We each have a finite (and limited) amount of time to invest in working on tasks, as there are only 24 hours in a day and at least some of those hours need to be spent sleeping. More often than not, the amount of time you have available is less than the time to complete all your tasks (either at work or in our personal lives).

Who Needs to Sleep?

First, let’s get rid of the idea that spending more time working and less time sleeping is the answer to all problems. This is not going to help you in the long term. Reducing your hours of sleep so you can do more during the day is usually not a sensible approach because in the long run, you’ll just end up more tired, and working while tired means you’re less alert, less effective, and more likely to make mistakes. Obvious points to make, but some people just don’t get this. Spending more time working rarely means you complete more work. If anything, it may mean you get more done but at a lower quality and with more errors and mistakes. If that’s acceptable for you and/or your employer, then great, but for most of us, that’s not a sensible or effective option.

Automating Repetitive Tasks

As software developers, we’re in a much better position to be able to automate tasks than non-software developers. Have a manual task that is time-consuming and you find yourself repeating it again and again? Write a utility to help you automate the task! OK, so it’s not always as easy as that, and you might not have the free time to spend developing the automation. However, if the amount of time invested upfront on building the automation is going to free up your time to work on other tasks in the future, then it might be worth the initial investment. Discuss with your supervisor if you’re unsure if you should be spending time on building automation rather than working on completing the task itself.

Developing a script or a standalone app to help automate tasks doesn’t have to be a major development effort, either. Sometimes, learning shortcuts with your existing tools can be a major time saver. Here are some quick ideas:

  • Learn some simple regular expressions for matching patterns and learn how your text editor of choice uses them to search for and replace tasks. Manual and repetitive tasks like replacing some pattern of text in a file can be done in seconds if you can use some regex.
  • Know how to move or delete a column of data in a tabular text file. Most text editors have the ability to select a column of text with the mouse, rather than text spanning horizontal lines. This makes it easy to delete or move a column.
  • Learn a couple of approaches for how to work with multiple files in multiple subdirectories. This can often be combined with other approaches like using a regex for a pattern matching and replacing text. If you have to apply an update across multiple files, knowing how to write a quick script to find all matching files in all subdirectories can be a massive timesaver.
  • Keep a directory of common scripts you’ve developed in the past so you can reuse them in the future. It’s often quicker and easier to reuse a previous script as a starting point and modify it rather than start from scratch every time.
  • If your scripts are generic and can be shared, share reusable snippets either as Github Gists, or share as a public GitHub project, or similar code sharing sites like Pastebin. (Be sure the scripts do not contain company proprietary information, and/or your company allows you to share source code publicly – always check if you’re unsure.) This allows you to build up a library of useful scripts, and also allows others to benefit from your work too.
  • Use the opportunity to write a script to automate a task as an opportunity to learn a new language. Learn some JavaScript and Node.js, Groovy, or [insert language you’ve been meaning to learn here].
  • Never underestimate the tools you have right at your fingertips. If you’re lucky enough to be developing on a *nix platform, your shell has a myriad of tools that you can pipe together to complete a more complex task, i.e., find -exec, sort, grep, awk, sed, wc -l, and bash scripting in general to build something more complex than a single one-liner.

Prioritizing Your Tasks

In general, most of us in our jobs have some tasks or responsibilities that are core to our role, things that we have to or are expected to do. There’s most likely an assortment of other tasks that are not essential or time-critical and maybe don’t even contribute towards achieving whatever your core responsibility is. These other non-essential tasks may come up from time to time, they might be "nice-to-haves," they may come up in conversations as improvement type side projects. These additional tasks may also be longer-term skills development type activities like mentoring or knowledge transfer type tasks. In the long run, these add value to your organization as a whole, but they might not contribute to getting a product built and shipped out the door today.

If we had to categorize each task in terms of importance, we could think of a number of varying scales along where we could put each task:

  • Essential to achieving core role responsibilities, vs. non-essential.
  • Short term tasks vs. longer term tasks.
  • Tasks that result in short term/immediate gains (quick wins), vs. longer term gains (strategic investments), for either you or your company.
  • High effort vs. low effort.

Think about the tasks you have and try to prioritize them in a way that you can (if possible) spend time on tasks that have either higher short- or long-term gains, and deprioritize other nonessential tasks.

If you really can’t get away from "doing all the things" yourself, at least try and automate as much as you can so you can free up time to work on tasks that have greater rewards or impact.

It should be "automate all the things," not "do all the things!"

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Topics:
productivity ,test automation ,agile ,work life

Published at DZone with permission of Kevin Hooke, DZone MVB. See the original article here.

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