The ultimate self-quantification gadget - OURA Ring

For the past month or so I’ve been wearing the ultimate tracking device, the epitome of self-quantification - Oura ring. To be honest, I’m not a huge fan of wearables, but this one is just too convenient and stellar to pass on. On top of everything that it offers, the best feature of the device is that its battery life is over a week. A WHOLE WEEK! I used to measure my heart rate variability every morning with a Polar chest strap in order to monitor my recovery, and that was just too much of a pain in the butt to do. Now, all I have to do is open my Oura ring app and my readiness score is there. I’ve read up quite a lot on the science and methods that they apply (listed on their website www.ouraring.com) and was convinced by the reliability of the data that is provided.

The beautiful thing is that all the data gets synced with Oura Cloud and you can access it on your computer as well. It’s particularly convenient if you work with clients. You have their sleep/activity data available at your fingertips and can make adjustments based on their data.


Some of the datapoints that Oura provides:


My resting heart rate data

When my resting heart rate is high, I know that my body is working overtime.


Steps (green) vs readiness (red)

Interesting for analysis of how your activity is correlated with your recovery.


An online dashboard view of a given day

Couple of sreenshots from the mobile app:





I absolutely love the ability to see my sleep score and analyze how my data points correlate. Whether you’re struggling with sleep, not sure about your recovery, need a professional to look at your data or just looking for a cool activity tracker – that’s the one to get. Really couldn’t recommend this gadget more.


By the way, when it comes to data, take a piece of advice from Seth Godin

“Here are the three principles:

First, don’t collect data unless it has a non-zero chance of changing your actions.

Second, before you seek to collect data, consider the costs of processing that data.

Third, acknowledge that data collected isn’t always accurate, and consider the costs of acting on data that’s incorrect.

Strip away all insignificant digits.”

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