What does the operations specialist do every day?
When I first saw this question, my first reaction in my mind was: ask the HR who recruited you and take good care of your leader. They will definitely arrange tasks for you.
However, this answer seems a bit too blind BB, and I thought about it again in my mind: that is, finish KPI every day. This answer seems too rough.
Today, why don't we discuss how operators work around completing KPI:
First of all, it doesn't matter what you do
First of all, it really doesn't matter what the operation does every day. What matters is what you have done to get a result and a good result.
This is a universal truth, and it should be the same at work. It should not just be done, but it can produce benign results after completion, such as promoting projects, optimizing and adding value.
Many people know the importance of data analysis and are happy to do it. For example:
I opened a canteen next to the nursing home. After a round of data analysis, the results are as follows:
I didn't buy basketball for three months in a row;
June 5438+ 10 milk powder sales broke out. The sales volume of 10W+ dropped a little in February, by how much year-on-year, by how much quarter-on-quarter, and by a few percentage points in March ... (Very professional, right)
So this year's goals and plans are: strive to make basketball produce sales; I want to keep the sales of milk powder. ...
Such a scene will never be rare.
First of all, basketball and nursing homes, this collocation is unreasonable. The high-end point is that the positioning is inconsistent and the demand is not met. So the value of this analysis is very low.
However, don't waste the analysis. Nobody bought it for three months. Why not buy it? Bad brand? Still nobody knows?
So what should we do?
To promote basketball, I decided not to sell it.
Secondly, nursing homes and selling milk powder may be because children need to buy gifts. The sales volume of 1 exploded and fell in February. When the old people take them home during the Chinese New Year, sales will naturally decline. A few years later, the old man went back and got up again in March ...
Analysis should find out the reasons: why, what is the reason for the increase?
The analysis should get the result: what measures should be taken for this?
The analysis should set a goal: since this measure is planned to be implemented, it is estimated how long it will take and how much forecasting effect can be achieved.
Therefore, just like data analysis, light analysis only has conclusions, and there is no result without follow-up actions. If the operation is simply doing, it is meaningless not to limit the result, so it doesn't matter what you do.
Second, the result-oriented drive.
Why do operations value results so much?
Although every job is like this, there is a very clear indicator in the work content of operation, and TA is KPI (Key Performance).
Indicator). Through the setting of key performance indicators, every job has a common goal and always serves it, so KPI is the result we often say.
Operation is result-oriented and result-driven.
People get the result through operation (this result may deviate from KPI), and then drive people according to the result (set the second KPI) to do the second operation and get the second result.
Continue this example:
Or the canteen of the nursing home. After basketball was eliminated, new milk powder was introduced in the vacant position. After a period of natural sales, the recorded data found that the sales of the two milk powders still did not increase:
Preliminary analysis, the reason is that the children of the elderly are unaware of the introduction of new milk powder.
So I decided to put up a poster (measure) at the door to tell these children with words and pictures (content operation)
This poster is planned to be hung at the door 1 month (time), which is estimated to bring new sales (effect) of 10 cans of milk powder.
Execution period
I put up a poster for a month and sold 8 cans of milk powder, not 10 cans.
Let's analyze it again. It turned out that all the people who bought these 8 cans of milk powder were daughters, and no male role was found.
So I decided to adjust the copywriting and design before releasing new posters.
Continue to hang 1 month, this time the target is 16 cans (according to previous data, my son is the main customer of milk powder).
Over and over again, in this way, I dare not say that the product of milk powder will get better and better for this store, but it will get better and better. Through data collection, cause analysis, measures formulation, effect prediction and final result-driven, the operation of milk powder is becoming more and more refined.