Analyzing Correlations Between Your Goals

E-VOUS gives the user the ability to discover patterns and correlations between goals and activities in the user's life.

For instance, if E-VOUS tracks how many hours you sleep a night, and one of your goals is having more energy, the correlation between the two would be clear: on the days when you slept more, you would have more energy.

But E-VOUS can discover patterns you might never have thought of before. You might discover that when you go jogging, you have an easier time following your diet. Or, when you drink eight glasses of water a day, you might accomplish more of your other goals.

Here are a few examples of how your graph might look if you compared your goal of jogging to your dieting goal:

In the example above, there is a strong correlation. The fact that the rise of points in jogging precedes the rise of points in dieting suggests that jogging affects dieting, but not necessarily the other way around. If this were how your graph looked, you would now know that if you want to achieve your diet goal more frequently, you simply have to jog more frequently.

In this example, there is no correlation. The only thing this graph would tell you is that neither goal affects the other.

In example 3, there is an inverse correlation. This would be an unfortunate situation. If a graph showed this sort of correlation between two of your goals, you would know that each goal has a negative effect on the other. The fact that one peaks on the same day that the other valleys suggests both goals affect each other equally, rather than one preceding the other. In this example, the case might be that jogging makes you too hungry to follow your diet, and your diet gives you too little energy to jog. This would be a good thing to know, since it means either your diet or your jogging routine is too strenuous for the amount of energy you need.