There are a lot of data in the process of talent training and development, which are useful?

There are all kinds of data in different stages of talent training and development. How can we find out what is really useful from a pile of complicated data? One product I use is Yue Ying of DDI Zhirui Consulting, which divides extracting key data and supporting behavior change into four steps:

The first step is to evaluate the data before school. Based on the evaluation of the five personalities and the present situation of abilities, Yue Ying formed a personal personality map and an ability map.

The second step is to learn materials online. Through online courses and tracking systems, students' learning status and interests are told from all dimensions, and whether they can be further analyzed, evaluated and created in the later stage.

The third step is the key behavior data. Behavior modeling based on DDI, the key behaviors in the ability are disassembled and placed in the scene simulation of real cases to guide and detect behavior changes.

Finally, according to the online learning data report and the ability challenge in the process of realizing real business goals, the offline classroom is designed in a targeted manner.