On the understanding of file thinking products

with the data, the product does not do well,Lacoste Observe Strap Trainers, for the data may be illusive!
no data, the product may also do good, because you may be lucky!

peruse these two sentences seem very hard to pronounce, but the real data reflects the importance of an Internet product, but also warned us to be scrupulous to remedy the data.

a product of data and data analysis in the end give us what?
Here are some menial attitude!

1, allows us to understand the product status:
(1) Each product has a target of data,Womens Lacoste Carnaby Trainers, such as: the number of users, land users, member, PV, UV, Posts, Video number, etc., of course, according to the product, the meaning of indicator data will be differ; these data will differentiate you a entire,Lacoste Swerve Trainers, this is what the new status of the product;
(2) emulated along the indicator data, but also There are some features of the data allows you to extra detailed comprehending of products, such as: the user's old and gender distribution, the proportion of the user's play, the type of distribution of posts, users quest cares what, PV distribution of content categories;

these data we tin do is to understand the fundamentals of this product, nobody more; in fact we really do not assist a magnificent product, though very important.

2, let us understand trends:
appending to the indicator data and characteristic data, we will change frequently secondhand data, such as: a month or several months throughout the site, the changes in PV , alternatively a feature of the change in PV, landing the number of users changes, changes in the delivery of content through the change curve, we find that the product is moving toward healthy development, or to bottom!

trend data gives us a very momentous message: the healthy development of the product, we are moving in the desired intention in the development. By analyzing trend data is cozy to find whether the product in question, if there is ample, but the trend analysis is not the problem so that we understand specifically where, and solutions.

3, can help us find the problem:
further data analysis,Lacoste Trainers UK, we will find a function for data analysis, and a functional relationship between the upstream and downstream analysis, will empower us to more apparently to know the product, those correlates are important, which is chapter of the problem, such as:
(1) new features for the analysis of the product, we can observe the user to use this feature changes, to decide whether this function popular; observe the feature pages of the source and destination user page, to determine this function, sending much value to the product, or in the various aspects of the product, accounted for what percentage. Combined function of usage trends, we can resolve whether to mushroom its investment, or to improve his side did not meet our expectations;
(2) as the product user experience of data analysis process, you will likewise find user How to reach our core content of the page, the process of distribution,Lacoste Trainers 2010, we will be improving the process because reference.

this period, we have from production knowledge to use data to cultivate products it! The data analysis is the core value!

4, can help us to nail users:
this namely the core worth of the data thinking.
we will find, in fact, we can tap into user behavior data, such as: Users like to see what variety of content, like what kind of user interaction, user clicks on the page, the heat analysis, these will be from a deeper level to improve our products, from product design point of outlook, to provide users with more personalized things. Technical hardship here, of course, will be higher correspondingly!


we constantly talk with the data, not many people actually do, and really amenable application of even fewer.
give a small sample, when the introduction of a fashionable feature, feel relatively good, then suddenly received a complaint that this feature is not good to use, how to do? Directly by the user to change it, or ignore?

recommendations are:
1, to gather such feedback to see how many people? What kind of person are (background)? Why do they calculate does not work well,Womens Lacoste Arin Trainers, there really is a personal accustomed or experience of vulnerability?
2, agreeable apt see the background file, the use of this trait, there may be scrutinized 2 days, see by the data alterations and consumer feedback.
finally do a comprehensive judgments, through in-depth understanding and grab the real user data, the data was not easy to be cheated.