Do you take time to identify tasks you have to complete for the following day or week? A lot of us do. Is it working for you, though? I want to present some alternative approaches.
Hi, I’m Peter Nichol, Data Science CIO.
How do you start your week? What method or approach do you take to ensure you meet your daily, weekly, or monthly objectives. Many of us sit down and try to articulate what activities we have to focus on or complete for the week, and that’s pretty normal. The challenge is that we get a false sense of productivity. For example, if we have fifteen different tasks and complete ten, we think, Wow, we’re two-thirds the way through or sixty-six percent completed with those initiatives. But the reality is that we didn’t weigh those to-do list tasks based on either priority or the time it takes to achieve them. As a result, while ten of fifteen activities may be completed, 70% of the time required to complete all tasks is placed within the remaining five uncompleted tasks. This gives us a false sense of productivity.
There’s a new approach I’d like to present. The idea begins on a premise built around procrastination. When we think of procrastination, a lot of images fill our minds. We think of somebody sitting on a couch, maybe someone lounging and eating a bag of chips or vegging out watching Netflix. The individual could even actively walk around the house, snacking but not be all that effective. These are all the common images we imagine when discussing the concept of procrastination.
There’s another side of procrastination, and it’s called productive procrastination. The idea behind productive procrastination is that you’re doing something. It’s just not adding to what you’re trying to accomplish. Some examples might be attending meetings. You’re, in theory, busy because you have back-to-back meetings all day. However, when you look at what you’ll accomplish at the end of the day, you haven’t made any real progress on your goals or objectives.
Another example is that you’re performing some busy work. The work is independent and doesn’t require you to collaborate or work with a team. You might be updating a spreadsheet or drafting an executive brief. These are activities you do need to complete. The catch here is that you end up spending extra time on these activities because they are easy and can be performed without others’ involvement. Time spent on these activities can be slightly helpful, but they ultimately don’t get you closer to your primary objective for the day. It’s important to note here that while you feel like you’re productive, you’re not.
Brian Tracy, a productivity and self-development author, came up with a new concept to address this exact problem. It’s called the A-B-C-D-E method. Using this method, Brian prioritizes the most critical activities to the least important and then identifies actions he can eliminate. He performs the A-B-C-D-E method every day.
- A-activities: activities that have to be completed and have a hard deadline.
- B-activities: are essential, but they don’t necessarily have a hard date to achieve the tasks.
- C-activities: typically are what we spend most of our time on. These activities don’t have a target date, and they might be necessary or might not. But ultimately, they’re straightforward to complete. As a result, we spend a lot of time feeling great when completing C-level activities.
- D-activities: are activities that don’t belong anywhere. They don’t have a priority. They don’t have a hard date. These are generally considered nice-to-have activities.
- E-activities: tasks or to-do items we want to eliminate. Often, when we spend time on E activities, we’re not completing tasks. Instead, we are working to identify how to free up our time. Maybe we can delegate the job to a team leader or subordinate. E activities can also be tasks we choose to automate, such as daily reporting, status reports, or health checks.
As you jump into your week, think about potentially using the A-B-C-D-E method to prioritize your activities for the week. You might even gain some productivity!
Hi, I am Peter Nichol, Data Science CIO. Have a great week!