Ge: What should you pay attention to in fine-grained app operations?

<span id="Label3"></p>first, the goal of refinement of the operation<p style="margin-top:0px;margin-bottom:0px;padding:7px 0px 0px;border:0px;font-size:14px;vertical-align:baseline;text-indent:22px;color:rgb(95,95,95);font-family:‘Microsoft YaHei‘;line-height:22px;white-space:normal;background-color:rgb(255,255,255);"><p style="margin-top:0px;margin-bottom:0px;padding:7px 0px 0px;border:0px;font-size:14px;vertical-align:baseline;text-indent:22px;color:rgb(95,95,95);font-family:‘Microsoft YaHei‘;line-height:22px;white-space:normal;background-color:rgb(255,255,255);">What type of app is the product? Do you need to run too much?</p></p><p style="margin-top:0px;margin-bottom:0px;padding:7px 0px 0px;border:0px;font-size:14px;vertical-align:baseline;text-indent:22px;color:rgb(95,95,95);font-family:‘Microsoft YaHei‘;line-height:22px;white-space:normal;background-color:rgb(255,255,255);"><p style="margin-top:0px;margin-bottom:0px;padding:7px 0px 0px;border:0px;font-size:14px;vertical-align:baseline;text-indent:22px;color:rgb(95,95,95);font-family:‘Microsoft YaHei‘;line-height:22px;white-space:normal;background-color:rgb(255,255,255);">For example, your product is just a tool, that is not too much fine operation, generally do a regular user behavior analysis, and then with the user set * * *, to guide the design of the product can be, if it is a content-based products, or functional and content products, it is necessary to design statistical framework of statistical objectives to clarify, What does it take to get the data? Guidance for functional improvements or layout adjustments? Or as an indicator of the user's quality of content?</p></p><p style="margin-top:0px;margin-bottom:0px;padding:7px 0px 0px;border:0px;font-size:14px;vertical-align:baseline;text-indent:22px;color:rgb(95,95,95);font-family:‘Microsoft YaHei‘;line-height:22px;white-space:normal;background-color:rgb(255,255,255);"><p style="margin-top:0px;margin-bottom:0px;padding:7px 0px 0px;border:0px;font-size:14px;vertical-align:baseline;text-indent:22px;color:rgb(95,95,95);font-family:‘Microsoft YaHei‘;line-height:22px;white-space:normal;background-color:rgb(255,255,255);">Assuming that users are interacting and using features frequently on your app, as well as browsing or generating content, you need to design your statistical framework at the same time as your product DESIGN. Zhuge</p></p>second, the brief operation flow<p style="margin-top:0px;margin-bottom:0px;padding:7px 0px 0px;border:0px;font-size:14px;vertical-align:baseline;text-indent:22px;color:rgb(95,95,95);font-family:‘Microsoft YaHei‘;line-height:22px;white-space:normal;background-color:rgb(255,255,255);"><p style="margin-top:0px;margin-bottom:0px;padding:7px 0px 0px;border:0px;font-size:14px;vertical-align:baseline;text-indent:22px;color:rgb(95,95,95);font-family:‘Microsoft YaHei‘;line-height:22px;white-space:normal;background-color:rgb(255,255,255);">Data acquisition</p></p><p style="margin-top:0px;margin-bottom:0px;padding:7px 0px 0px;border:0px;font-size:14px;vertical-align:baseline;text-indent:22px;color:rgb(95,95,95);font-family:‘Microsoft YaHei‘;line-height:22px;white-space:normal;background-color:rgb(255,255,255);"><p style="margin-top:0px;margin-bottom:0px;padding:7px 0px 0px;border:0px;font-size:14px;vertical-align:baseline;text-indent:22px;color:rgb(95,95,95);font-family:‘Microsoft YaHei‘;line-height:22px;white-space:normal;background-color:rgb(255,255,255);">first, list the data items you need, then evaluate which parts need to be reported by the app, which can be counted in the background, and then add them in front of the background separately. Generally speaking, the app reports collected data, must undergo careful verification and testing before release, because once the version released and data collection problems, not only before the effort is white, but also bring a lot of dirty data, but also can reduce the efficiency of the Client's operation, not worth the Candle.</p></p><p style="margin-top:0px;margin-bottom:0px;padding:7px 0px 0px;border:0px;font-size:14px;vertical-align:baseline;text-indent:22px;color:rgb(95,95,95);font-family:‘Microsoft YaHei‘;line-height:22px;white-space:normal;background-color:rgb(255,255,255);"><p style="margin-top:0px;margin-bottom:0px;padding:7px 0px 0px;border:0px;font-size:14px;vertical-align:baseline;text-indent:22px;color:rgb(95,95,95);font-family:‘Microsoft YaHei‘;line-height:22px;white-space:normal;background-color:rgb(255,255,255);">Data collation</p></p><p style="margin-top:0px;margin-bottom:0px;padding:7px 0px 0px;border:0px;font-size:14px;vertical-align:baseline;text-indent:22px;color:rgb(95,95,95);font-family:‘Microsoft YaHei‘;line-height:22px;white-space:normal;background-color:rgb(255,255,255);"><p style="margin-top:0px;margin-bottom:0px;padding:7px 0px 0px;border:0px;font-size:14px;vertical-align:baseline;text-indent:22px;color:rgb(95,95,95);font-family:‘Microsoft YaHei‘;line-height:22px;white-space:normal;background-color:rgb(255,255,255);">After the data collection, it is necessary to process the raw data into the visual data that the Product manager needs, so we need to do some basic data logical association and DISPLAY.</p></p><p style="margin-top:0px;margin-bottom:0px;padding:7px 0px 0px;border:0px;font-size:14px;vertical-align:baseline;text-indent:22px;color:rgb(95,95,95);font-family:‘Microsoft YaHei‘;line-height:22px;white-space:normal;background-color:rgb(255,255,255);"><p style="margin-top:0px;margin-bottom:0px;padding:7px 0px 0px;border:0px;font-size:14px;vertical-align:baseline;text-indent:22px;color:rgb(95,95,95);font-family:‘Microsoft YaHei‘;line-height:22px;white-space:normal;background-color:rgb(255,255,255);">Data analysis</p></p><p style="margin-top:0px;margin-bottom:0px;padding:7px 0px 0px;border:0px;font-size:14px;vertical-align:baseline;text-indent:22px;color:rgb(95,95,95);font-family:‘Microsoft YaHei‘;line-height:22px;white-space:normal;background-color:rgb(255,255,255);"><p style="margin-top:0px;margin-bottom:0px;padding:7px 0px 0px;border:0px;font-size:14px;vertical-align:baseline;text-indent:22px;color:rgb(95,95,95);font-family:‘Microsoft YaHei‘;line-height:22px;white-space:normal;background-color:rgb(255,255,255);">You can clearly see the data you need, according to the statistical framework you've designed at the Outset.</p></p><p style="margin-top:0px;margin-bottom:0px;padding:7px 0px 0px;border:0px;font-size:14px;vertical-align:baseline;text-indent:22px;color:rgb(95,95,95);font-family:‘Microsoft YaHei‘;line-height:22px;white-space:normal;background-color:rgb(255,255,255);"><p style="margin-top:0px;margin-bottom:0px;padding:7px 0px 0px;border:0px;font-size:14px;vertical-align:baseline;text-indent:22px;color:rgb(95,95,95);font-family:‘Microsoft YaHei‘;line-height:22px;white-space:normal;background-color:rgb(255,255,255);">For example, user behavior: which features are used by the most per capita, which buttons are frequently clicked, which are not in a significant position to achieve the desired effect of the function, and so On.</p></p><p style="margin-top:0px;margin-bottom:0px;padding:7px 0px 0px;border:0px;font-size:14px;vertical-align:baseline;text-indent:22px;color:rgb(95,95,95);font-family:‘Microsoft YaHei‘;line-height:22px;white-space:normal;background-color:rgb(255,255,255);"><p style="margin-top:0px;margin-bottom:0px;padding:7px 0px 0px;border:0px;font-size:14px;vertical-align:baseline;text-indent:22px;color:rgb(95,95,95);font-family:‘Microsoft YaHei‘;line-height:22px;white-space:normal;background-color:rgb(255,255,255);">For example, content analysis: which article is consulted most, which content is commented or liked the most, and so On.</p></p><p style="margin-top:0px;margin-bottom:0px;padding:7px 0px 0px;border:0px;font-size:14px;vertical-align:baseline;text-indent:22px;color:rgb(95,95,95);font-family:‘Microsoft YaHei‘;line-height:22px;white-space:normal;background-color:rgb(255,255,255);"><p style="margin-top:0px;margin-bottom:0px;padding:7px 0px 0px;border:0px;font-size:14px;vertical-align:baseline;text-indent:22px;color:rgb(95,95,95);font-family:‘Microsoft YaHei‘;line-height:22px;white-space:normal;background-color:rgb(255,255,255);">Of course, the above is only the foundation can not be the basis of analysis, and then in-depth, for example, you get these data, you can analyze the use of a function users also like the B function, the correlation is strong, whether the front-end design can be more consideration of integration, or interface adjustment, such as analysis of clickstream, What is the path for most users to access or use the app, and does it hide the core functionality too deep? For example, can you analyze different user attributes, such as male users and female users, and do they have significant differences in user behavior? Wait a minute.</p></p><p style="margin-top:0px;margin-bottom:0px;padding:7px 0px 0px;border:0px;font-size:14px;vertical-align:baseline;text-indent:22px;color:rgb(95,95,95);font-family:‘Microsoft YaHei‘;line-height:22px;white-space:normal;background-color:rgb(255,255,255);"><p style="margin-top:0px;margin-bottom:0px;padding:7px 0px 0px;border:0px;font-size:14px;vertical-align:baseline;text-indent:22px;color:rgb(95,95,95);font-family:‘Microsoft YaHei‘;line-height:22px;white-space:normal;background-color:rgb(255,255,255);">Different product data analysis method and model gap is very large, can not be clear at Once. So the above is more Examples.</p></p>Iii. some principles to be aware of<p style="margin-top:0px;margin-bottom:0px;padding:7px 0px 0px;border:0px;font-size:14px;vertical-align:baseline;text-indent:22px;color:rgb(95,95,95);font-family:‘Microsoft YaHei‘;line-height:22px;white-space:normal;background-color:rgb(255,255,255);"><p style="margin-top:0px;margin-bottom:0px;padding:7px 0px 0px;border:0px;font-size:14px;vertical-align:baseline;text-indent:22px;color:rgb(95,95,95);font-family:‘Microsoft YaHei‘;line-height:22px;white-space:normal;background-color:rgb(255,255,255);">1. The data itself is objective, but the interpretation of the data must be subjective, the same data by different people analysis is likely to draw the exact opposite conclusion, so must not advance with a point of view to analyze (such as already have a hypothesis, and then use data to justify);</p></p><p style="margin-top:0px;margin-bottom:0px;padding:7px 0px 0px;border:0px;font-size:14px;vertical-align:baseline;text-indent:22px;color:rgb(95,95,95);font-family:‘Microsoft YaHei‘;line-height:22px;white-space:normal;background-color:rgb(255,255,255);"><p style="margin-top:0px;margin-bottom:0px;padding:7px 0px 0px;border:0px;font-size:14px;vertical-align:baseline;text-indent:22px;color:rgb(95,95,95);font-family:‘Microsoft YaHei‘;line-height:22px;white-space:normal;background-color:rgb(255,255,255);">2.APP acquisition of data, it must be a lower priority, not because of data collection and affect the performance of the product and user experience, but also can not capture the User's privacy data (although Many of the domestic app did not do so);</p></p><p style="margin-top:0px;margin-bottom:0px;padding:7px 0px 0px;border:0px;font-size:14px;vertical-align:baseline;text-indent:22px;color:rgb(95,95,95);font-family:‘Microsoft YaHei‘;line-height:22px;white-space:normal;background-color:rgb(255,255,255);"><p style="margin-top:0px;margin-bottom:0px;padding:7px 0px 0px;border:0px;font-size:14px;vertical-align:baseline;text-indent:22px;color:rgb(95,95,95);font-family:‘Microsoft YaHei‘;line-height:22px;white-space:normal;background-color:rgb(255,255,255);">The data is not omnipotent, but to believe in their own judgment.</p></p><p><p>HTTP://ZHUGEIO.COM/NEWS/?P=221/?LCJ Zhuge</p></p><p><p>Ge: What should you pay attention to in fine-grained app operations?</p></p></span>