So saying that the system is online and Sweden Phone Number running normally does not mean that our product work has been completed. We still need to follow up and be responsible for the full life cycle management of the product. We must be alert to any small problems and review whether there are loopholes in the system design. .
3. Maintain a “skeptical” attitude towards system data
Maintaining a “skeptical” attitude towards system data means that we can’t just look at the data, but must carry out a reasonable analysis based on the data background. The data of the system is the most objective, and after a reasonable analysis, it can help us to make a lot of improvements.
The following report is the data of an e-commerce company I simulate (for reference only):
Looking at Figure 1, if we just look at this data and trend chart, the first conclusion we can get is that the company’s refund rate is declining, and the customer service department has made a lot of efforts.
Looking at Figure 2, we got the sales and refunds, and found that the sales in January and February were not high, but the refunds were very high. The sales began to rise in October. At this time, we have already refunded the refunds in Figure 1. The rate change creates a “skeptical” attitude.
In Figure 3, I changed the formula for calculating the refund rate to an algorithm, [refund rate = refund amount of the current month / sales of the previous month], and the overall refund rate has stabilized.
Students in the e-commerce industry probably know that the first half of the year is a low season and the second half is a peak season. Cross-border e-commerce has a long distribution cycle, and refunds for orders often occur across months. For example, for orders in December, refunds are concentrated. In January and February, the sales in January and February were not as high as in December, so the refund rate in January and February in Figure 1 was too high. The algorithm I described is not the most reasonable algorithm, but a tricky way. We need to optimize the specific algorithm based on the background of the industry.
Data analysis that is divorced from actual business is meaningless. We must attach context to any data when we look at it. After drawing plausible conclusions, we still have to maintain a “skeptical” attitude towards the data.
4. Maintain a “skeptical” attitude towards the leadership’s arrangements
Maintaining a “skeptical” attitude towards the leader’s arrangement allows us to have a “upward management” mindset. We must gain insight into the meaning behind the leader’s instructions. If the work arranged by the leader is difficult to carry out, we must give timely feedback and reach an agreement with the leader. .
Here’s an example of a scene:
Leader: I just finished the company’s meeting, and I communicated something, you go and fulfill the A requirement.
Me: Leader, what problem is this A requirement mainly solving?
Leader: This is to solve the problem of XXX.
Me: Leader, do you remember that we had a requirement B a month ago? At that time, when reviewing the requirements of B, the priority of B was not high. We arranged it in the next month’s version. I just heard your description. If we want to do this requirement of A, we need to have B as the basic support to realize the plan of A. Do you think I want to raise the priority of B, so that B needs to cooperate with A’s needs?