with data, the product does not do well, because the data may be deceptive!
no data, the product may also do good, because you may be lucky!
read these two words seem hard to pronounce, but the real data reflects the importance of an Internet product, but also warned us to be careful to treat the data.
a product of the data and data analysis in the end give us what?
Here are some humble opinion!
1, allows us to understand the product Status:
(1) Each product has a target of data, such as: the number of users, login users,
mbt chapa shoes, membership, PV, UV, Posts, Video number, etc., of course, different depending on the product, the definition of indicator data will be different; these data will tell you a whole, this product is now what the situation;
(2) followed by the indicator data, but also There are some features of the data can make you a more detailed understanding of products, such as: the user's age and gender distribution, the proportion of the user's activity level, the type of distribution of posts, users search for what concerns, PV distribution of content categories;
these data we can do is to understand the fundamentals of the product, and nothing more; In fact, our products really do help is not great, although very important.
2,
cheap mbt shoes, allows us to understand trends:
addition to the characteristic indicator data and the data, we will change frequently used data, such as: a month or several months throughout the site change PV or change a feature of the PV, landing the number of users changes, and changes in content distribution, by varying the curve, we find that the product is moving toward healthy development, or to bottom,
mbt shoes chapa!
trend data gives us a very important message: product development is healthy, is moving in the direction we expected in the development. Through analysis of trend data is easy to find whether the product in question, whether the deficiencies, but the trend analysis is not the problem let us know specifically where, and solutions.
3, can help us find the problem:
further data analysis, we will find a function for data analysis, and a functional relationship between the upstream and downstream analysis, will enable us to more clearly to know the product, those links is important, which is problematic areas, such as:
(1) new feature for the product analysis, we can observe the user to use this feature changes, to determine whether this function popular; observing the function of the source and destination of the page the page the user to determine the function of bringing much value to the product, or the various aspect of the whole product, accounting for what kind of ratio. Combined with the use of trend functions, we can decide whether to increase its investment in, or to improve his side did not meet our expectations;
(2) process for the product the user experience of data analysis,
mbt shoes review, you will also find that users How to reach, the core content of our pages, this process of distribution, will we improve the process for reference.
this time, we have products from the understanding to use data to improve the products it! This is the core value of data analysis!
4, can help us identify the user:
this is the core value of data analysis.
we will find, in fact, we can tap into the user's behavior data, such as: Users like to see what kind of content, users like what kind of interaction, the user clicks on the page analysis, the heat, which will be a deeper one level to improve our products, from product design point of view, to provide a more personalized things. Technical difficulty here is the appropriate course will be higher!
to speak with the data we used to say, not many people actually do, and the application of real and even less flexible.
give a small example, when the introduction of a new feature, feel relatively good, when suddenly he received a complaint that this feature does not work well, how do? Directly by the user to change it, or ignore?
recommendations are:
1,
mbt sports shoes sale, to collect such feedback to see how many people? What kind of person are (background)? Why do they think does not work well,
Mbt beach, the existence of a personal habit or experience of vulnerability?
2, to the background good look at the data, the use of this feature, there may be observed 2 days, look at the data changes and user feedback.
Finally a judge to do, through in-depth understanding and grasp the real user data, it is not easy to be fooled by the data.
hogan shoes|hogan shoes|GHD IV Hot Pink Styler
Linear Mode
