Data analysis question: Would you buy a Xiaomi car?

In this article, we will delve into the market response to Xiaomi Auto and its technical controversies, analyzing how to balance personal needs with product features in a data-driven decision-making process. This article is suitable for data analysts and consumers who are interested in the new energy vehicle market.

The popularity of Xiaomi Motors lasted for a full half month, and it has set off waves of heated discussions on major social platforms and forums. I still see a lot of information and reviews about Xiaomi Motors on various online communities today.

People's opinions on this car are extremely polarized .

People who like Xiaomi cars are attracted by the Xiaomi car launch and place orders enthusiastically. There is such a person around me. Although he canceled the order afterwards, he still thinks it is a good car, but he does not need to buy one for the time being. If you discuss the pros and cons of Xiaomi cars with him, he will passionately tell you about the advantages of Xiaomi cars at the launch conference and bring out a lot of data to support his point of view.

Those who don't like it will think that Xiaomi Auto is just a marketing trick and lacks real strength. Some technologies that really need to be concerned about are hidden, and only unimportant information is put on the PPT of the press conference. In their eyes, these are all problems that cannot be ignored. For example, the voltage level of the entry-level Xiaomi Auto is only 400V, which is really not enough in today's electric cars that are all 800V.

No matter which school you belong to, if there is such a question, as a data analyst, how would you answer:

If you happen to have a budget of more than 200,000 yuan and are planning to buy a car, would you buy a Xiaomi car?

As a data analyst, whether you are analyzing data or making decisions, logical thinking is the key . You cannot be fooled by the surface brilliance, nor can you be swayed by other people's evaluations . You must learn to speak with data and reason with logic.

You can’t use the logic of fan circles to decide whether to buy or not. You are a fan, so you buy; or you are a fan of other car companies, so you don’t buy. This logic oversimplifies the difficulty of decision-making.

The first step in all decision-making is to clarify needs and goals.

It is irresponsible to make decisions without considering the needs.

First of all, you need to figure out what your goal is in buying this car. Do you want to satisfy the pleasure of driving or the needs of family travel? Do you want to commute to get off work or go on outings frequently?

You need to figure out what kind of car you need and what indicators you are concerned about, and then measure the performance of Xiaomi Auto and other competing products.

If you don't like the Xiaomi car, but it perfectly meets your needs, you should still consider buying it. Xiaomi cars may not be mature enough or advanced enough in some technologies. But this does not mean you can't buy it. The key is whether it meets your actual needs. No matter how advanced some technologies are, if you don't use them at all, what's the point?

As a data analyst, you must learn to speak with data and think logically instead of being swayed by emotions. This is a very important lesson whether buying a car or anything else.

Author: Jason; Source public account: Ternary Variance (ID: 686668)