As an entrepreneur, I'm a huge believer in The Lean Startup, an incredible book written by Eric Ries that has turned into a movement of sorts to get people thinking about business in a way that often runs counter to conventional business wisdom. I may write a separate post to talk about my take aways from the book but in a nutshell, one of the most important concepts of the "Lean Startup" is this: if you can't measure the results of an action, then it probably isn't worth doing. Why? Because without being able to measure the results, you will have no idea whether the action resulted in what you assumed it would! To put it another way, you could be doing the same task over and over again for years under the hypothesis that it is beneficial to you when in fact it may have little or even no positive impact on your business, life, etc. And if that's the case, why do it in the first place?!
Now if we are to approach biohacking as a series of experiments to test whether the choices we are making in our lives are actually helping us achieve the results that we want, then it's super important to figure out what metrics we want to measure (based on our goals) and then finding out what tools we are going to need to measure those metrics.
For a future series of posts, my plan is to write about the tools that I'll be using to measure the results of my experiments. I'm starting off with zero experience in biohacking so hopefully others out there who are just starting off as well can learn from my experiences.