In the day-to-day operations of a bakery, there are many problems that require solutions. Some people prefer to use mathematical algorithms (data analysis) to break down problems and find solutions (a method I often use myself), but for certain issues, approaching them from a logical perspective can be faster and more direct.
For example, "boosting sales" is a key responsibility of a store manager. If we approach this problem from a data analysis perspective, we might get bogged down in calculating and organizing metrics like foot traffic, average transaction value, and transaction frequency. While there's nothing wrong with this, relying solely on "calculations" usually fails to address the root cause.
If we approach the problem of "boosting sales" from a logical perspective, we might find solutions more quickly.
Let's break down the question "How to boost sales performance" into several specific, actionable questions: "How to get customers to enter the store," "How to get customers to make a purchase," "How to get customers to buy one more item," and "How to make customers want to come back next time." By dissecting each of these and seeking answers (solutions), we can more directly identify the root cause. Let's continue breaking down "how to get customers to enter the store" as an example to see how we can identify the core logic and develop actionable strategies.
From a logical perspective, the inverse of "getting customers to come" is "why aren't customers coming?" Thinking this way reveals the core issue: if they aren't coming, it must be because we're falling short in some area. Where exactly? We can look no further than the daily operations we handle-specifically, our products, service, and cleanliness.
Taking this further, by identifying "leverage points" within these daily operations, we can formulate solutions and action plans.
For instance, regarding products: Is the quality consistent? Does the taste appeal to customers? Are the prices affordable and reasonable? Is customer feedback positive, neutral, or negative? These aspects can all be gauged through daily operations-such as products being poorly made, displays being disorganized, or customers finding the taste unsatisfactory or the prices too high.
By digging deeper, you can determine whether the issue lies with the product line as a whole or with specific items, and whether negative feedback is occasional or a daily occurrence. This allows you to pinpoint the root cause and implement targeted improvements.
Of course, when breaking down a problem, you may encounter numerous minor issues. In such cases, you must assess the store's actual situation to determine what is important and what is urgent, prioritize the issues to be resolved, and address them one by one in order.
Objectively speaking, data analysis is a skill, while logical breakdown relies on experience. The goal here is not to make "black-and-white" choices, but rather to combine these two approaches for better results. By using logical breakdown to pinpoint the problem, you can implement quick improvements, and then use data (and its changes) to analyze the results of those improvements and determine whether they have met expectations.
