ChatGPT and Prompt Engineering With Advanced Data Analysis - Analyzing Net Promoter Score (NPS)

The video tutorial explains how to use CHAR GPT to analyze Net Promoter Score (NPS) data. It covers the basics of NPS, including the roles of promoters, detractors, and passives, and how to calculate the NPS score. The tutorial demonstrates feeding NPS data and its drivers into CHAR GPT for analysis, obtaining insights, and identifying focus areas for improvement. It also discusses the best visual representations for the data, emphasizing the importance of reducing repeat callers to enhance NPS.

What is the primary purpose of the Net Promoter Score (NPS)?

• To measure customer satisfaction

• To assess customer loyalty

• To determine market trends

• To evaluate product quality

How is a customer classified if they give a rating of 9 or 10 on the NPS scale?

• Detractor

• Passive

• Neutral

• Promoter

What is the formula for calculating the NPS score?

• Percentage of detractors minus percentage of promoters

• Percentage of promoters minus percentage of detractors

• Percentage of promoters minus percentage of passives

• Percentage of passives minus percentage of detractors

Why is it important for companies to focus on increasing promoters?

• Promoters are more likely to buy again

• Promoters increase operational costs

• Promoters provide negative feedback

• Promoters are less likely to recommend

What are the three key drivers of NPS mentioned in the video?

• Marketing, sales, and distribution

• Turnaround time, repeat callers, and churn

• Innovation, technology, and design

• Customer service, product quality, and pricing

How can ChatGPT assist in analyzing NPS data?

• By providing customer feedback

• By suggesting marketing strategies

• By identifying key drivers and insights

• By calculating the NPS score

Which visualization method was not initially suggested by ChatGPT for NPS data?

• Line chart

• Bar chart

• Scatter plot

• Hierarchy visual

What is a hierarchy visual used for in data representation?

• To compare data across different categories

• To represent data in a hierarchical structure

• To show data trends over time

• To display data in a tabular format

What is the significance of using a hierarchy visual for NPS data?

• It simplifies complex data relationships

• It highlights the most popular products

• It tracks sales performance

• It shows customer satisfaction levels

What was ChatGPT's response when asked about the hierarchy visual?

• It ignored the question

• It disagreed with the suggestion

• It apologized and agreed with the suggestion

• It provided a detailed explanation