Both work and scientific research are boring and boring, and there are similarities in the way of doing things.
Teacher XYZ once said: The best things I do now are all brought after a lot of basic and boring repetitive actions for a long time. So if I'm not doing something similar now, I know there are some problems in my life.
it's not a flash of light that really comes in handy, but the usual boring accumulation. The normal state of the world is annoying, so you have to live with it, chew it, consume it slowly, and bear it.
but then there will be a problem, which is equivalent to being able to withstand the problems of annoyance and stuttering.
everyone wants to get a good result when doing things, but if they stick to the problem and don't pay attention to the method, they will only touch themselves in the end-well, I work hard, but it's useless.
It's like if you want to become a master of Go, you don't need a teacher or learn the rules. You play music every day to solve life and death problems. Even if you practice for ten or eight years, you can't compete with a chess player who has been trained systematically for three years.
don't let yourself fall into that bitter, smelly and stupid persistence, which will only lead to a dead end.
the result of the wrong method is that the efforts have not improved for a long time, and then self-pity, and finally embarked on self-abandonment.
The correct "method" is alive. It can give you feedback, let you know where your current efforts are right and wrong, what actions have gained and what actions have brought losses, and then you can constantly adjust.
Its framework is: asking questions, establishing hypotheses, investigating, reasoning and explaining, and drawing conclusions.
in my limited observation, most people will only do one last thing: draw a conclusion. Commonly known as patting the forehead.
On the surface, we should find out what problems we are working on, and then we can continue our work.
people who are dead knock probably don't even understand the problem, and they do it regardless of the willy-nilly. It's a pity that the beginning is wrong.
about establishing hypothesis
I understand the problem, and the next step is to establish hypothesis, the significance of which is to point out the direction of follow-up investigation and research.
for example, the problem is that the click rate of xx project has dropped recently?
You have to make a hypothesis: it may be a cyclical problem, it may be that the user didn't pay attention to the version change, and it may be that there was no relevant reminder.
all these hypotheses need to be eliminated through follow-up investigation and study.
About investigation and research
Investigation and research is to obtain data and screen hypotheses.
many people often shut themselves up in a "little dark room" to ponder over problems, so they can't figure it out ...
You have no idea how big the world is and how fast it is changing. What are you thinking about? After thinking for a while, I didn't have any ideas, so I turned to watch the sand sculpture video.
For example, you want to be an Internet-related WeChat official account. What should you investigate? You should go to the major platforms to find the most frequently answered, answered, viewed and cared questions about switching to the Internet.
Take Zhihu as an example. If you really find 2 questions related to career change, and record the number of views and concerns of each question, you will have 2 data samples.
In the same way, you can also keep a record of all articles and data written by a blogger who specializes in career change. Record the number of readings on different topics, the number of books, comments, likes and praises.
In the same way, if you are a product manager and want to make a product about the square dance aunt, do you have to sit in the super-Internet office to fill the aunt's needs?
Stop inking. Ma Liuer bought a car full of eggs, went to the community to meet the square dance aunt and politely delivered eggs. She asked people what their needs and pain points were, and first made clear these problems through investigation.
That's what this is about: doing (field) research,
investigation and research, which is much more reliable than using your extremely narrow cognition to fill the needs of users.
About reasoning and explanation
Only when you have basic data can you reason and explain.
I said earlier that you want to write an article about career change, but I don't know how to choose the topic. Now you have found 2 career-related topics in Zhihu, and you have recorded the number of views and concerns-at this time, as long as you sort the data, you will know which issues are seen the most and paid the most attention.
in this way, when you write an article, will there be no direction for choosing a topic?
Similarly, if you really write down dozens or hundreds of articles about a blogger who changed careers-as long as you sort the data, you will know which articles users like better (number of readings, number of likes), which articles users are most interested in (number of comments) and which articles users gain the most (number of praises).
this is an explanation.
what about reasoning?
If all the assumptions established in advance are filtered out, it is necessary to reason according to the data, establish new assumptions, and then investigate and study.
it's much more reliable to support the hypothesis through objective data than to pat the forehead.
About drawing a conclusion
To draw a conclusion is to know what to do next.
For example, what does the Internet do to know the number one job change through data?
Then you can write an article about what Internet jobs do, and introduce the three jobs one by one: programmer, product and operation.
The conclusion thus drawn is valid, and your next action is correct.
With such a framework, you can constantly solve new problems and make rapid progress.
Take writing articles as an example. If you don't think, train correctly and scientifically, and write "running-book" articles every day, the result may be that you become an expert in writing running-books. Your article data will not increase significantly.
But if you strictly follow the above working methods, use data to select topics and write, and verify different writing methods and skills, you will write better and better.
a reasonable analytical framework is a smarter and more effective way to do things.
In the process of hard work, you can try and make mistakes, but don't make mistakes. Pay attention to the difference between trial and error and making mistakes.
Trial-and-error means that you look up information everywhere for investigation and explanation, but the problem is that you can't find such information and precedent. So, you can have a try.
making a mistake means that you can find information on the internet and make a lot of explanations and judgments. If you spend a little time doing these things, you can know where there is a pit in advance. You are too lazy to investigate and explain, and you have to take your real money or waste your time.
this is stupidity.
remember, in the process of hard work, there must be a correct method and an analytical framework.