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How to leverage time-boxing to reduce overwhelm being a statistician

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Batch processing and scheduling tasks to fight procrastination

Do you know how to make a good to-do list?
Do you know how to set priorities versus the time it takes?
Do you have a problem with over-committing?

One of the most effective skills you can have in life is effective time management. According to Michael Hyatt: “What gets scheduled gets done. ” If you’re not managing your time well, there’s no way you’re going to reach your goals at work and the life outside of it.

Marc Zao-Sanders mentions time boxing as the number 1 tool for productivity among 100 tips.

In today’s episode, we discuss time boxing and batch processing. We also discuss how these following points work:

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What you need to know before you try to increase productivity

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Do you often find your workday spiraling out of control?
Do you want to be more productive than you yesterday?
Do you want to know how to improve your skill set and work performance?
Do you start each day with a plan, but soon become distracted and procrastinating?

You are not alone. Sometimes, it’s easier to wait for someone else to tell you what things you should work on rather than to assess yourself.

Focusing on continually improving your skill set will boost your confidence and help you become the best version of yourself.

In today’s episode, Benjamin and I discuss what you need to know to increase productivity:

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My story of the Effective Statistician and what you can learn from it

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Are you curious about why and how I started The Effective Statistician?
What’s in it for you?
Why I’m passionate about it?

It all started when I became a new supervisor and had my first direct reports and I thought I really needed to learn about supervisory skills but I had very limited time. I found out that podcasts really help to learn while I commute to work – it’s effective.

In this podcast, you can learn a lot from the following:

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Questions to ask yourself before starting a new project

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I recently talked to a statistician, that initiated a small company internal group of statisticians to drive forward methodological innovation projects. While this surely will help the individuals to learn more about statistical methods, it was less clear, why and on which topics the group should focus their activities on.

While most of our day-to-day activities consists of running clinical studies, submissions and directly related work, we also engage in such innovation work streams or process improvement working groups and other such activities.

Today, we’re giving you advice on how to best pick the right projects to work on as you usually have some influence on this.

Specifically we cover the following questions, you should ask yourself first:

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How to train non-statisticians effectively – 11 tips to succeed

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Today we’re answering a question from the listeners. As nearly everybody will need to train non-statisticians sooner or later, this is a relevant topic. Unfortunately, lots of the trainings fall short and leave the audience confused and even bored.

This episode helps you to make your training engaging, interesting and useful. Such a training will help you to build your reputation as an expert as well as a great person to work with. It’s an awesome experience for non-statistician, if they have a light-bulb moment while being trained on statistics.

Listen to the episode and learn about these 11 tips to make your training successful:

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The rise of R and what role the AIMS SIG plays in it

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Do you think, R can’t be used for regulatory submissions?
Are you forced to use SAS but would like to use R instead?
Would you like to understand how you can make R submission proof?

Then this interview with Lyn Tailor and Craig McIlloney helps you. Both work on the PSI special interest group Application and Implementation of Methodologies in Statistics (AIMS) on this topics.

Furthermore, we cover the following topics:

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The podcast is run in association with PSI