91Ó°ÊÓ

You manage the customer service operation for a maker of electronic equipment sold to business customers. Traditionally, the most common complaint is that equipment does not operate properly when installed, but attention to manufacturing and installation quality will reduce these complaints. You hire an outside firm to conduct a sample survey of your customers. Here are the percents of customers with each of several kinds of complaints: $$ \begin{array}{lc} \hline \text { Category } & \text { Percent } \\ \hline \text { Accuracy of invoices } & 27 \\ \hline \text { Clarity of operating manual } & 6 \\ \hline \text { Complete invoice } & 25 \\ \hline \text { Complete shipment } & 16 \\ \hline \text { Correct equipment shipped } & 15 \\ \hline \text { Ease of obtaining invoice adjustments/credits } & 34 \\ \hline \text { Equipment operates when installed } & 5 \\ \hline \text { Meeting promised delivery date } & 11 \\ \hline \text { Sales rep returns calls } & 3 \\ \hline \text { Technical competence of sales rep } & 12 \\ \hline \end{array} $$ (a) Why do the percents not add to \(100 \%\) ? (b) Make a Pareto chart. What area would you choose as a target for improvement?

Step by step solution

01

Analyzing Complaint Data

First, examine the given data to ensure that each complaint's reported percentage is accurate. Check the total percentage to understand why it doesn't sum to 100%. Add the percentages: \(27 + 6 + 25 + 16 + 15 + 34 + 5 + 11 + 3 + 12 = 154\). This shows it is possible that customers can have multiple complaints, which is why the total is over 100%.

02

Understanding Multiple Complaints

Realize that the percentages do not sum to 100% because the survey allows respondents to list multiple complaints. This means the data is an incidence rate of each complaint type, not a distribution summing to 100%.

03

Constructing a Pareto Chart

A Pareto chart organizes data in descending order of frequency. Arrange the complaints in descending order of their percentages to determine their order: Ease of obtaining invoice adjustments/credits (34%), Accuracy of invoices (27%), Complete invoice (25%), and so on. Draw bars for each using these percentages, with labels.

04

Identifying the Improvement Target

The Pareto principle suggests focusing on the areas that account for the majority of your issues. Here, the top three complaint categories—Ease of obtaining invoice adjustments/credits, Accuracy of invoices, and Complete invoice—account for the largest shares. Focus on the 'Ease of obtaining invoice adjustments/credits' for the greatest impact.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Pareto Chart

A Pareto chart is a visual tool used in data analysis and quality control. It's particularly helpful in prioritizing problem-solving efforts. The chart is composed of bars and a line graph. The bars represent individual categories of problem, showing them independent of each other in terms of frequency or percentage. These are sorted in descending order, meaning the most significant categories appear first. The cumulative percentage is represented by the line graph.

A key principle behind the Pareto chart is the "80/20 rule" or Pareto Principle, which suggests that 80% of problems often stem from 20% of the potential causes. In our exercise, creating a Pareto chart involved arranging the complaint data in order of descending frequency, where 'Ease of obtaining invoice adjustments/credits' emerges as the leading complaint.

This chart allows businesses to focus on resolving the most pressing issues first, thereby improving overall satisfaction efficiently. Using it, you can make informed decisions about which problems to tackle to achieve the greatest benefit.

Percentages in Surveys

Survey percentages can often seem confusing at first glance, especially when they do not add up to 100%, as in our exercise. The reason is that each percentage signifies the incidence of a particular complaint among surveyed customers. Here, respondents were allowed to list more than one complaint, which naturally results in cumulative percentages exceeding 100%.

This doesn't mean there's an error in the data; it's a common scenario in surveys where multiple responses are possible. Instead of a total distribution, each percentage represents a standalone piece of information about how widespread each issue is among your customers.

Interpreting these figures correctly is essential for accurate data analysis. Recognizing that high percentages on multiple complaints may indicate serious underlying issues across different areas of business operations.

Complaint Data Interpretation

Effective interpretation of complaint data is crucial for businesses aiming to improve customer satisfaction and operational performance. The exercise presented us with a range of complaints from customers of electronic equipment.

The first step in interpreting such data is to understand how each complaint impacts your business. For instance, a high percentage of complaints about 'Ease of obtaining invoice adjustments/credits' suggests the process is cumbersome or unclear, requiring immediate attention.

Instead of merely acknowledging the existence of these complaints, it's beneficial to delve deeper into each category:

• Are there repeat complaints indicating systemic issues?
• Do particular complaints correlate, showing a pattern?
• What changes can be implemented quickly for the biggest impact?

By strategically targeting areas with the highest frequency of complaints, businesses can prioritize actions that lead to a noticeable improvement in customer experience. This approach not only resolves existing issues but also preempts future problems, contributing to long-term business success.