Quantified-self is not new to most of us. It may not sound familiar to some people, but they use it every day to measure their productivity or their activity when they go running.

There are some who think that this great amount of information about ourselves only provides with superficial benefits. That’s why they are trying for it to become something really useful by helping people to improve and take better decisions. This is the hour of Quantified-us.

What is Quantified-us?

Quantified-us combines Quantified-self and Big Data to extract knowledge from the collective and aim it to individual actions.

Sharing our data with groups of people who have objectives, health conditions or data patterns similar to ours will provide us with more valuable information. It will allow us to learn from others and, therefore, to improve based on both their experience and ours.

Matthew Jordan and Nikki Pfarr explain it all in detail in this article.

Is this in return for our privacy?

They say that users must have freedom to decide what amount of privacy want to lose as they are the ones in control of the benefits they will gain. The user’s right to choose what they want to do with their data. But we cannot also deny them the possibility to improve by the simple fact they don’t want to do so. It’s our responsibility as companies to look for an alternative that will allow them to obtain all the possible benefits without having to waive their privacy.

A better me

Unlike Quantified-self, Quantified-us not only encourages us to modify our behaviour but tells us how we should do it. For instance, if you are a freelancer and realize that you waste too much time clarifying the characteristics of the job with your client, you can check your data with other professionals and see if they have the same problem and how they solve it.

Quantified-us helps us become a better version of ourselves and gets us closer to the person we want to become.

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