What are you most afraid of doing a user portrait project? Three words: no! fart! use! Students who are often doing data humming and humming throughout the day, output the so-called "360-degree user portrait" and then sprayed by the business side: How about knowing gender and age! High consumption in the past, what about the future? So what? You mark a high potential, it is really high potential? ? All of the above problems are caused by the failure to advance the project based on the SIKT model. User portraits are out of touch with business scenarios, and do not consider what business can do with portraits.
If you want to break the game, of course you have to mobile number list go back to the business scenario and think carefully: what can user portraits help? The SIKT model is a set of conceptual models (non-algorithmic models) to solve this problem. 1. Principle of the model The SIKT model is a set of methods for combing labels. Labels are the basis of user portraits and the building blocks for building portrait systems. For a personas system to be useful, the tags themselves have to be valuable.
This requires that when labeling, one should not rely on the intuition of data personnel to arbitrarily enter "gender and age" into the system as if it were a mouthful, but proceed from the business scenario and proceed layer by layer. Step 1: Sort out the business scenarios. The user should think first: what problem do I want to solve? Step 2: Sort out the key indicators. Rethinking the user: What metrics are used to measure problem solving? Step 3: Sort out key actions. The user thinks again: what can I do to solve the problem? Step 4: Filter useful tags. Data-assisted thinking: what labels can improve the efficiency of action. The labels sorted out according to this step are easy to observe.