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Powerful persuasion: data is also an argument

Powerful persuasion: data is also an argument
Scenario 1: Requirements review
Have you ever or seen someone HE Tuber get rejected because of unreasonable demands or unclear demands? Requirements review is an information channel for transmitting problem background and solutions from the product initiative to the R&D side. It is also one of the most important daily tasks of product managers. A qualified requirements review requires at least four questions to be clarified: What is the background of the requirements? What went wrong in this context? What is the goal? And


 specific improvement measures?

Case:
Background: In the express delivery scenario, some large customers require that after the goods are delivered, the consignee needs to sign a receipt, and the courier will mail the receipt back to the customer as a receipt of the goods.
Problem: Some reply forms are incorrectly formatted or signatures are ambiguous, resulting in the reply not meeting the requirements and causing the customer to be unable to enter the account, posing a risk to the company for customer complaints and fines.
Goal: Improve the quality of return orders and reduce fines for customer complaints.
Solution: Before the goods are delivered, add receipt uploading and image recognition.

 Only if the receipt format is correct can the delivery be successful.

After my description, you may have understood that a problem did occur, but the severity of the problem is unknown. If you cannot judge the severity, you cannot reasonably plan priorities and resource investment. Therefore, we still need to add some data description on this basis to see what the effect is.
Background: In the express delivery scenario, 32% of large customers require that after the goods are delivered, the consignee needs to sign a receipt, and the courier will mail the receipt back to the customer as a receipt of the goods. There are about 50,000 such

  waybills per day, accounting for about 10% of the total number of waybills .

Problem: 15% of the replies had problems such as incorrect format or blurred signatures, which resulted in the reply not meeting the requirements and causing the customer to be unable to enter the account. The company was exposed to the risk of customer complaints and fines. Last year, there were a total of 1,500 complaints and a fine of more than 3 million yuan. .
Goal: Control the proportion of orders that do not meet the requirements below 1% , and it is estimated that the penalty cost will be recovered by 3 million yuan per year.
Solution: Before the goods are delivered, add receipt uploading and image recognition. Only if the receipt format is correct can the delivery be successful.
While describing the problem, through the addition of data, the demand value and benefits are quantified, and data basis is added to judge the severity of the problem. An excellent product 

Powerful persuasion: data is also an argument
Published:

Powerful persuasion: data is also an argument

Published: