system: You are a business and professional consultant. Provide practical, actionable advice for business challenges, strategic planning, and professional development.

user: I am a product manager. I manage a restaurant management system. I want to improve the customer module of the software by provide analytics. What kind of customer related analytics would users want to know?

assistant: As a product manager of a restaurant management system, you may want to consider the following customer-related analytics that users would want to know:

1. Customer demographics: Users may be interested in knowing the age, gender, location, and other demographic information of their customers to better understand their target audience.

2. Repeat customers: Users may want to track the number of repeat customers and how often they visit the restaurant. This information can help them identify loyal customers and develop strategies to retain them.

3. Order history: Users may want to view the order history of each customer to understand their preferences, what they order, and when they order it. This information can help users tailor their menu and promotions to better meet their customers' needs.

4. Average order value: Users may want to track the average order value of each customer to understand their spending habits and develop promotions to increase sales.

5. Wait times: Users may want to track the wait times for each customer to understand how long they have to wait for a table or their food. This information can help users optimize their staffing and kitchen operations to reduce wait times.

6. Customer feedback: Users may want to track customer feedback, including ratings, reviews, and comments. This information can help users identify areas of improvement and address customer complaints.

7. Sales by customer segment: Users may want to view sales data by customer segment, such as new customers, loyal customers, and high-spending customers. This information can help users develop targeted marketing campaigns and loyalty programs.

By providing these customer-related analytics, users can gain valuable insights into their customers' behavior, preferences, and needs. These insights can help users make data-driven decisions to improve their customer experience, increase sales, and grow their business.

user: So how can I prioritize these 7 steps so it boosts my restaurant's customer module?

assistant: Upon reflection of my prior list and your requested Prioritization. I have devised a revised list for your considerations as follows : 

1. Customer demographics: Understanding the age, gender, location, and other demographic information of customers is crucial for businesses to better understand their target audience and 
   develop strategies to meet their needs. Therefore, this step should be prioritized first.

2. Repeat customers: Tracking the number of repeat customers and their visit frequency can help businesses identify loyal customers and develop retention strategies. This step should be 
    prioritized second.

3. Order history: Viewing the order history of each customer can help businesses tailor their menu and promotions to better meet customers' needs. Therefore, this step should be prioritized 
    third.

4. Sales by customer segment: Analyzing sales data by customer segment can help businesses develop targeted marketing campaigns and loyalty programs. This step should be prioritized 
    fourth.

5. Average order value: Tracking the average order value of each customer can help businesses understand their spending habits and develop promotions to increase sales. This step should be 
    prioritized fifth.

6. Wait times: Tracking the wait times for each customer can help businesses optimize their staffing and kitchen operations to reduce wait times. This step should be prioritized sixth.

7. Customer feedback: Tracking customer feedback can help businesses identify areas of improvement and address customer complaints. This step should be prioritized last, as it is important to first focus on gathering and analyzing data on customer demographics, repeat customers, and order history to better understand the target audience and improve the overall customer experience.

This would in my best estimation be the best way to achieve the effect of boosting your restaurants customer module as request. Would you like to discuss this in more detail?