How to write a good data analysis report

First of all, the importance of writing a good data analysis report is very simple, because the output of the analysis report is the result of your whole analysis process , it is the qualitative conclusion of evaluating a product, an operation event, it is probably the reference basis of product decision, since it is so important to write it well.

I think a good analysis report has the following points:

first of all, to have a good framework , like building a house, good analysis must be based on a level, a solid foundation, and the level of clarity to let readers at a glance, the structure of clear, primary and secondary clearly to make others easy to read, so that people have the desire to read down;

Second, each analysis has a conclusion , and the conclusion must be clear, if there is no clear conclusion that analysis is not called analysis, also lost his own meaning, because you are going to find or confirm a conclusion will be to do analysis, so do not forggestting fruit;

Third, the conclusion is not too much to be refined , if possible an analysis of one of the most important conclusion is good, many times analysis is to find the problem, if an analysis can find a major problem, to achieve the goal, do not ask for more, ning to peach a mouthful, not rotten apricot a basket, The concise conclusion is also easy to let the reader accept, reduce the important reader (usually a lot of business leaders, not too much time to see so many) reading psychological threshold, if others see too many problems, conclusion too complex, not read, 100 conclusions also equals 0;

Finally, the analysis conclusion must be based on the data analysis and deduction process , do not have a speculative conclusion, too subjective things will not be persuasive, if a conclusion even you do not have the certainty of the grasp do not take out to mislead others;

Five, good analysis to have a very strong readability , here refers to legibility, everyone has their own reading habits and ways of thinking, write things you always follow your own thinking logic to write, you feel very clear, that is because the entire analysis process is what you do, others do not necessarily understand, Be aware that readers tend to spend only 10 minutes or less to read, so consider who your analysis reader is. What do they care about most? You have to be on the reader's side to write analytic emails;

Six, the data analysis report as far as possible to chart , this is actually the 4th supplement, the use of a chart instead of a large number of stacked numbers will help people more visually and intuitively see the problems and conclusions, of course, the chart is not too much, too many charts can be confusing;

Seven, good analysis of the report must be logical , usually to comply with: 1, find the problem--2, summarize the cause of the problem--3, solve the problem, such a process, logical analysis report is also easy to accept;

Eighth, good analysis must be from the understanding of the product based on , do the data analysis of the Product manager itself must be very familiar with the product you analyzed, if you even analysis of the basic characteristics of the object is not understood, the conclusion of the analysis is certainly in the castle, no root of wood how to be convincing?!

Ninth, good analysis must be based on reliable data sources , in fact, many times the collection of data will occupy more time, including planning to define the data, coordinate data escalation, let the developer extract the correct data or establish a good data system platform, and finally in the collection of the correct data based on analysis, Since everything is in order to find the right conclusion, then it is necessary to ensure the correctness of the collected data, otherwise everything will become the effort to mislead others;

Tenth, The good analysis report must have the solution and the proposal plan , since you diligently to understand the product and has done the thorough analysis based on the understanding, then this process has decided that you may be more clear than others to discover the problem and the problem to produce the reason, Then on this basis based on your knowledge and understanding, the recommendations and conclusions must also be more meaningful, and your boss certainly do not want you are only a person who will find the problem, please your salary more to let you solve the problem;

Xi. do not fear or avoid "bad conclusions", analysis is to find the problem, and to solve the problem to provide a basis for decision-making, found that the product problem is also your value, I believe your boss invited you to come, not light let you sing the praises, he wants is not a whitewash tool, found product problems, It is the value of your analysis to resolve product defects and problems before they cause major mistakes.

12, do not create too many difficult to understand the noun , if your boss is looking at your analysis spent 10 minutes to call you three times to explain the noun, then you write out of the value of where it, or you can directly past said forget, of course, if unavoidable to write some nouns, it is better to have a comprehensible " noun interpretation ";

13. Finally, thank those who have contributed to your analysis report , including those who report or extract data for you, those who support and help the product (if you analyze the product you are responsible for), affirm and respect the work of the partners will win more support and help , and I think you're not just a affair, but someone who appreciates and shares the results can be a quality and respectable product manager.

Original source: Douban

How to write a good data analysis report