Some time ago, I saw someone sharing in the community: How to use ChatGPT + McKinsey methodology to gain insights into an industry. I feel that this method is very helpful in the research of unfamiliar industries. Quickly learn about a new field and make investment decisions. 
To address your first question first, if you haven't heard McKinsey:
ChatGPT practical steps
Without further ado, let's get straight to the point. After simply digesting the important points of the sharer, I will reorganize them. The steps are roughly as follows:
Let ChatGPT use the McKinsey method to list 100 keywords in a new field
For the key words listed above, use one sentence to give a general definition or overview
According to the above keywords, combined with the application scenarios, classify and summarize
For the above keywords, further subdivide the classification and sort out the learning priority
From the macro level, understand the upstream and downstream of the industrial chain in a new field
Understand the current status of development in the field and what problems exist (similar to talking to experts)
Who are the representative players and well-known brands in the current field?
Find several professional books in the current field, so that you can read systematically and find out key information
This is just a key step. The details inside are by no means so simple. You still need to conduct in-depth reading, research, evaluation, interviews, etc. to get the results you want.
Case combat
Let me take the field of a chain industry as an example, and try to see how the above steps work.
Find 50/100 keywords for new fields
Use McKinsey's method of quickly understanding the industry to establish concepts through a large number of high-frequency keywords in the industry. Now I am a novice who does not know much about the chain industry, please sort out 50 common keywords for me
Summarize definitions or summarize key words in one sentence
For each of the 50 key words about the chain industry you listed above, give an overview in one sentence
Combined with application scenarios, classify and induce
Classify the above keywords according to different scenarios, and give a brief introduction to each category, and output it in the form of a table
Further subdivide and sort out learning priorities
Carry out secondary classification of the keyword list just classified, and from the perspective of a primary learner, give reference materials for each keyword, such as books, and the priority of learning (arranged by high, medium and low), and finally Output in the form of a table, table header: scene, secondary classification, keywords, priority, related materials (refer to real data), books, and the repeated parts of the table can be merged into cells
Understand the upstream and downstream of the industry chain in new fields
Help me sort out the upstream and downstream composition and organizational relationship of the chain industry industry chain, and make a table. The header: industry links, upstream, downstream, organizational relationship, introduction
What is the current state of development?
As a consulting expert in the chain industry, what are the common problems in the chain industry at present, and are there any solutions to these problems?
What is the current development status of the chain industry, and what are the main problems at present?
Who are the representative players and well-known brands?
What are the relatively well-known brand companies that the chain industry can learn from at present, and what are their core competitiveness, output in the form of a table
Find professional books for your systematic reading
Recommend a few professional books on the chain industry, and require book reviews to be highly recommended, relatively down-to-earth, and instructive
In general, the key to quickly learning a new field is to obtain industry keywords through ChatGPT, and classify and sort out the learning path of the industry, and use the retrieval, understanding and summarization capabilities that ChatGPT is good at to further speed up and Deepen knowledge and understanding of the industry.
Further reading: