原创 HomeIOT 2.2.1 User portrait

User portrait:

Many people have attended meeting: Everyone will be excited to explain their product understanding with rich body language.

User definition is the most critical task of any project or product in the first stage of planning.

Who is the user?

 We have to distinguish between two concepts, user and client. The user is the person who uses your product, and the client is the person who buys your product. There will be great differences and many combinations between them. In most cases, even if the client is not the end user, it is often the client's client. All of us are user.

Planners organized people in different departments such as market, product, technology, production, etc., "historical project experience" and "experts" were important reference. They were always confused about new products. As a result, the leadership will be furious: "Why not do market research?"

Therefore, competitive product analysis, questionnaires, market visits, some companies purchase information directly , these methods are still effective or necessary activities now.

One of the important things is what is the user base of our product services.Their education, age, gender, purchasing power, behavior habits or hobbies, shopping place, religious beliefs. A detailed analysis of the target user can enhance the success of product planning.

We have had such an experience. We searched users try out a new product in different places. We specifically selected two distinct communities. But the feedback situation is the opposite of what we expected exactly.

Chairman Mao said that there is no right to speak without an investigation. It is reasonable!

Nowadays, the huge IT platform has realized the function of inferring the user's consumption habits and pushing products according to the user's consumption trajectory. The industrial IOT has begun to try the customized production mode. Is it necessary of user portrait？Yes, This is a more accurate and more personalized portraits based on user behavior of Big Data Analysis and AI.