Use Font Metrics

These are key metrics.

The human brain generates a quantifiable electric field.

And these metrics will tell you that.

The problem is these were execution metrics.

Would the quantifiable value of money decrease as a result?

There's also Murmurs, Montage, Mobs, Metrics and Mounds.

Metrics provides more numerical views on the data.

So there's some problem with these metrics now.

Now, what I've talked about are physiologic metrics.

Economic dynamics would increase and so would the financially quantifiable value.

What? and quantifiable data points that we define as your personality.

Image Metrics is a markerless, performance driven animation company.

Emily Image Metrics is a markerless, performance driven animation company.

The personal metrics movement goes way beyond diet and exercise.

Well, it's simply the process of defining the construct to make it observable and quantifiable.

We'll just go through the motions of figuring out all of the metrics.

I can't have a relationship with you guys based on a premise that is a quantifiable one.

And scientific theory means quantifiable relying on underlying generic principles that can be made into a predictive framework.

Of course, other metrics matter, too, and nuclear power has all sorts of popularity problems.

That creates a problem for standard metrics, because we're getting more and more stuff for free,

In a matter of seconds, a soundscape reveals much more information from many perspectives, from quantifiable data to cultural inspiration.

Can we use, say, code metrics to predict where the most bugs will be in the future?

We've also given you insight into your business with additional metrics in the Google Play developer console.

But what your really interested in is trying to understand, what are the metrics that matter for your business?

And this is what we used to give to the company Image Metrics to create a rigged, digital version of Emily.

But this is a good visual way to start thinking about how to start doing the math for metrics that matter.

At the best, you're 10 percent human, but more likely about one percent human, depending on which of these metrics you like.

There are many metrics by which you can evaluate a data structure, or a representation. two important ones I want to discuss here.

Let's look at this one first and then we're going to combine what we learned with other kinds of path base metrics next.

But what you really need to be doing is working with your investors and your management team is to derive the metrics that matter.

In customer relationships all the get keep grow metrics, some of which we talked about, some of which you'll discover, what were the customer acquistion costs?

A scientific theory comprises a collection of concepts, including abstractions of observable phenomena, expressed as quantifiable properties, together with rules (called scientific laws) that express relationships between observations of such concepts.

There are algorithms that try to actually do this, and people are developing them using different metrics to try to figure out who's important given a topic, let's say.

Researchers in psychology, neuroscience, child development and biology are finally starting to gain quantifiable scientific evidence, showing what writers and readers have always known that stories have a unique ability to change a person's point of view.

So, we're not just talking about physiologic metrics the key measurements of vital signs, and all those things in physiology but also all the imaging that one could look at in your smartphone.

One of the most important metrics to think about now that we have an end to end funnel is something called lifetime value and a lifetime value LTV is not your lifetime but your customer's lifetime.

Well, the other interesting things that we have the teams do, and the JerseySquare guys was a great example, is to the start to put together the unit economics, the metrics that matter for both revenue and cost.

And a very important piece of research came out on Friday from the Institute of Health Metrics and Evaluation in Seattle showing that almost 50 percent of the fall in child mortality can be attributed to female education.

And what I'm going to do in the next five minutes is take you through a process where we tried to create a reasonably photo realistic computer generated face, using some computer graphics technology we've developed, and also some collaborators at a company called Image Metrics.

And then the final thing I would mention is there are a lot of very high level readability metrics, both for software and also for natural language text, that are based on the sort of lexing or lexical analysis or token definition principles that we've come to know.

You need to get these metrics that matter known, searched, understood, and don't worry, they will change, but the whole game of the business model canvas and the customer development process was for you to find them out firsthand and to experience them, not to have them happen to you.

If you wanted to trace the erratic path of an individual air molecule you'd have absolutely no hope, but when you have millions of air molecules all together they start to act in a way which is quantifiable predictable and well behaved, and, thank Goodness, air is well behaved because if it wasn't, planes would fall out of the sky.

And I think, the statistics prove a resounding yes, because if you look at companies that have adopted explicit practices to promote diversity, for example, programs to support working mothers, or programs to ensure objective evaluation and performance metrics, the red bar shows you the average profit margin of those companies is higher than the blue bar of companies that do not.