Tesla is indeed leading the global electric vehicle market. but their position may be shifted by other manufacturers who start releasing their electric vehicle models. Most of the world’s major manufacturers have announced their electrification targets. This has forced Tesla to strive to maintain its lead in the global electric vehicle market.
One of the things that is trying to improve is the service for existing customers. In a new recent update to the app, Tesla is offering a ‘self-diagnosis’ feature that aims to improve the experience of existing customers.
The ‘self-diagnosis’ feature is a big concern for Tesla and is therefore a top priority for the second quarter. A user on Twitter reported on the app’s ‘self-diagnosis’ feature for the first time. However, the feature did not appear as quickly or as simple as one might think. Twitter user @Tesla_Adri said the diagnostic feature would only appear after selecting a certain category. The feature runs a scan and determines if there are any errors that require service at a repair center or not.
I finally saw the new "self diagnostics" feature in action, which @Tesla_App_iOS and I discovered in the source code of the app a few weeks back.
Scheduling a service for certain categories triggers the diagnostics and informs you if a fault is present and if service is required pic.twitter.com/YPnrzCLBPg
— Tesla_Adri (@tesla_adri) July 16, 2022
Twitter user @Tesla_Adri noted that Tesla also added a feature to check for other potential issues during service appointments. For example the app mentions checking the O-rings on the trunk power buffer.
Another commenter pointed out how the feature indicated the need to replace the window manager. Of course, it should be noted that some in the software can be fixed via OTA update without the need to go to a service center.
Carscoops in its report has found no evidence the feature addresses more complex issues such as missing brake pads. For example, an owner has reported receiving a car with inappropriate tires. The question is whether the motor and software are sensitive enough to notice the inherent difference in traction.
