Talking about "data analysis" two or three things that the interaction designer should know

Data analysis, not only the product or operation of the "patent", as an interactive designer also need to master the skills to help us to do better design. If you're an interactive designer with no focus on data analysis, here are three points you might need to know.

　　The role of data analysis

1, find the problem

Analysis of the data found that a function of the conversion/retention rate is low, as a designer how to improve these indicators? From their own professional perspective of the analysis, can also be through usability testing to dig, and then targeted to improve, adjust.

2, compare the effect before and after the revision

After an improved design plan on the line, need to compare the effect before and after the improvement, verify the effectiveness of the improvement, according to the results of the next step of action guidance.

　　What data indicators to focus on

Different functions, revision goals, different indicators of concern, the following is just a few examples:

1, the same interface, different modules of the number of clicks, User stickiness (PV/UV) contrast

For a function point, if we want users to often use, like to use, this time to pay attention to the number of clicks, user volume, user stickiness.

2, the level from shallow and deep, each level of PV and UV, see the user at different levels of conversion rate/loss rate

If the wastage rate at each level is high, is it because the operation process is too complex? This requires interaction designers to analyze the specific reasons.

3, a certain operating process, the ultimate success and failure of the proportion

The conversion rate in front of each level determines the final success rate, so if you want to improve this indicator, all levels need to be analyzed thoroughly, mining the problem.

　　Common mistakes: Do not worry before the revision, on-line after the attention of data

As an interactive designer with little attention to data, it is often not bothered before the revision, after the online want a certain data to find wood.

I have had this experience, at that time that the product manager will follow up every revision of the buried point of demand, but also worried that I will not be able to raise the burial point is not very good. Later found that the current product group, I Butt is the product director, the middle of the product manager does not carry out the matter. As the author of the design plan also want to see how the design on the line after the effect, so the initiative to find product director talked about this problem, see whether the product group buried point of demand, get the answer is "of course you can".

So, what I'm doing now is, if a design to compare the effect before and after the revision, I will be in advance of their own buried point requirements into an Excel form, to the relevant colleagues, and then the interactive prototype in detail to discuss these buried points, to ensure that both sides understand the same, not the last buried point of data is not what they want.

　　Summarize

Through data analysis, we can quantify the effect of interactive scheme. As an interactive designer, you can take the initiative to undertake some work, passive for the initiative, to find problems, improve the problem, do not wait until the product manager raised the need to improve the program.