The analysis is as follows:
The analysis ideas mainly include the following four points:
1.？ Bad label analysis: what is the proportion of different labels;
2.？ Web analytics: Analyze the performance and existing problems of different websites;
3.？ Rider analysis: analyze the number of bad reviews, delivery time indicators and related factors of riders together with the site;
4.？ Merchant analysis: analyze the problem of bad reviews caused by merchants.
1.？ Bad review label analysis
2.？ analysis on the scene
? The problem of sending timeout accounts for a large proportion in every site. Site c performed worst, followed by site a and site B.
It takes too long for bilibili, Station C, Station E and Station F to deliver the order over time.
Although the time consumption of Site A is basically short, the total number of bad reviews is the second highest. Coupled with the proportion of bad reviews, service attitudes and other issues are more serious.
3.？ Rider analysis
Overtime delivery and bad attitude are common problems of most riders.
If the rider eats less/scatters rice, delivers it in advance, and the instrument is untidy, it is easier to get bad reviews.
The single dimension of rider delivery time is not the decisive factor for customers to give bad reviews.
There are problems in the management of station A and station C, and the same rider gets more poor evaluations at these two stations than at other stations.
4.？ Merchant analysis
? It's not all about the rider's service that each rider gets bad reviews, and restaurant merchants also have certain responsibilities.
Analysis conclusion and improvement scheme