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Retrospective on life tracking and effectiveness systems | Victoria Krakovna

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I’ve been doing life tracking for around 10 years, and this post is looking back at some things I learned from the data (since my previous retrospective in 2017). I also review various productivity / effectiveness systems I have tried and which ones have stuck around after 10 years. I analyze this data annually in my new year review posts, and this post will look at longer-term trends. These are the main types of tracking that I do: My usual process is: export metrics from Oura, add them to the life tracking sheet, then visualize and analyze the data using python scripts (which I’m happy to share). Correlations. Looking at correlations between different metrics (with a disclaimer that there are many possible confounders and causality is often unclear). Unsurprisingly, the strongest correlations are between various sleep metrics (for the preceding night). Most things are not correlated, but a few things stand out. Sleep. Looking over my sleep patterns over the years (as usual, excluding

I’ve been doing life tracking for around 10 years, and this post is looking back at some things I learned from the data (since my previous retrospective in 2017). Highlights include what I get out of the Oura ring, correlations between sleep and deep work / distraction, seasonal patterns in health, and regret patterns for external commitments. I also review various productivity / effectiveness systems I have tried and which ones have stuck around after 10 years. I analyze this data annually in my new year review posts, and this post will look at longer-term trends. These are the main typ

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