Speaker
Description
Logging your own work hours is an efficient way to work out what you spend your time on. It can be used to help you manage your time better, to ensure you spend an appropriate time on a project, or even to negotiate pay or responsibilities at work. In this lighting talk I show how I keep track of my own hours using R and an external tracking tool (here: Clockify). My goal was to make the time logging as painless and smooth as possible, while remaining informative. I show the tracking interface and workflow I use to log my hours. Then we go through extracting the information via Clockify's API. Finally, we look at how we can summarise the information contained in the logs in ways that help inform our goals. I'll show some examples of my own goals and how I use the time logs to evaluate whether I reach those goals or not (spoilers: I don't).
I chose Clockify because it had a simple interface for fast logging and (as of now) free tier. Other services surely work just as well, and the lessons on how to summarise the information downloaded form the service's API are still relevant.
Warning: Following the approach showed in this lighting talk risks exposing just how much time you actually spend on lunch.
If you used AI tools or services to support the preparation of this submission, please state the name and reason for using each of them.
No AI tools/services were used.
| Keywords: Please list up to 5 keywords to help us find the right session for your contribution. | time tracking, productivity, logging, clockify, efficiency |
|---|---|
| Virtual Option | This submission is for onsite presentation primarily, but I would also like it to be considered for pre-recorded virtual presentation if I don't get an onsite slot |
| Video Recording | Video sharing is fine |
| The author(s) agree(s) to take responsibility and be accountable for the contents of the submission and is/are authorized to present it. | Confirm |