Customer Support Efficiency

Background

A company that offers fiber optic internet services to people and businesses seeks assistance in understanding the frequency of customer support follow-up calls subsequent to their initial inquiry. This analysis aims to aid company leaders in determining the team's ability to address customer queries adequately on the first attempt. Additionally, leaders are interested in identifying recurring call patterns to ascertain the reasons why customers need to contact support multiple times. The ultimate objective is to enhance the overall customer experience.

The company operates three distinct customer support teams located in different areas. The dataset provided encompasses information from January 1st to March 31th, 2022. Each customer support call is logged with its corresponding date, any instances of subsequent calls, the team that handled the call, and the nature of the problem reported.

Problem to Solve

The company’s goal is to reduce call volume by increasing customer satisfaction and improving operational optimization. The dashboard should demonstrate an understanding of this goal and provide stakeholders with insights about repeat caller volumes in different markets and the types of problems they represent. It should reveal insights about repeat callers. Question to answer:

How often does the customer service team receive repeat calls from customers?

What problem types generate the most repeat calls?

Which market city’s customer service team receives the most repeat calls?

Data-Driven Discoveries: Insights from Customer Support Call Analysis 

Number of calls

Total First Call vs Repeated Calls per Market

Repeated Calls by Market City’s Customer Service Team

Repeated Calls by Market and Problem Type

Repeated Calls by Problem Type 

Time of Repeated Call

Link to Dashboard in Tableau: Customer Support

 Conclusion

1

Approximately one-fourth (25%) of all calls are repeated calls. This finding highlights the potential for improvement in effectively addressing customer queries adequately on the first attempt and enhancing the overall customer experience. 

2

Significant variations in call volumes and the occurrence of repeated calls calls across the different markets. Market 1 receiving the majority of calls overall and the highest proportion of repeated calls.  In contrast, Market 3 stands out with the highest percentage of repeated calls among all markets, with approximately 31% of all calls made to Market 3 being repeated calls. 

3

Market 2 experiences the lowest number of repeated calls, with only 15% of all calls falling into this category. Understanding the factors contributing to this lower percentage could provide valuable insights into effective practices that can be shared and implemented across all markets.

4

Addressing the root causes of repeated calls, such as internet and Wi-Fi issues, as well as problems related to Technical Troubleshooting, should be a priority for customer support teams. By identifying and proactively resolving these recurring issues, the company can significantly reduce the number of repeated calls, leading to time and cost savings for both customers and the organization.

Recommended Next Steps

The analysis of customer support calls reveals that approximately one-fourth (25%) of all calls are repeated calls, with 80% of those being related to issues regarding Internet and Wi-Fi, as well as Technical Troubleshooting. It is imperative for the company to prioritize addressing the root causes of these repeated calls to enhance customer satisfaction by effectively resolving queries on the first attempt. Additionally, the analysis across different markets highlights significant variations in call volumes and the occurrence of repeated calls. The company should seize the opportunity to gain insights from Market 3, which exhibits a notably lower percentage of repeated calls. Understanding the contributing factors behind this success can inform the development and implementation of effective practices across all markets. Adopting market-specific approaches will optimize customer support and reduce the occurrence of repeated calls, ultimately leading to improved customer experiences. 

Further analysis

Further analysis is necessary to investigate the following areas:

Appendix

The raw data and the cleaning process are available in the appendix for those interested in viewing the details of the analysis.