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Difficulty: HardExplaining Surprising Outcomes

To improve efficiency, a national bank implemented an automated chatbot on its website to handle basic customer service inquiries, such as password resets and balance checks. Prior to the chatbot's implementation, these routine inquiries accounted for the vast majority of customer service interactions. One year after the chatbot's deployment, a performance review revealed that the average time a human customer service representative spends on a single customer interaction has increased by nearly 60 percent, even though the representatives are using the exact same software tools and handling procedures as before.

Which of the following, if true, most helps to resolve the apparent discrepancy in the information above?

  1. By successfully diverting the shortest and simplest inquiries, the chatbot has altered the composition of the representatives' workload so that they now almost exclusively handle complex, time-consuming problems.Answer
  2. B
    The chatbot is programmed to automatically authenticate the customer's identity before transferring them, a mandatory step that previously added several minutes to every human-handled call.
  3. C
    While the average duration of interactions increased, the absolute number of human customer service representatives employed by the bank decreased slightly during the same period.
  4. D
    The human representatives spend a significant portion of their work week reviewing transcripts of failed chatbot sessions to help improve the system's artificial intelligence.
  5. E
    A recent industry report indicates that across the national banking sector, the average duration of a customer service call has been steadily increasing for the past five years.

Answer

The statement indicating that the chatbot diverted the shortest inquiries, leaving representatives to handle only complex, time-consuming problems.
The paradox arises because a tool designed for efficiency seems to have decreased it by extending call times. However, the metric in question is an 'average'. If the chatbot successfully handles all the short, routine interactions, those quick calls are removed from the human representatives' pool of tasks. The remaining calls reaching the humans are solely the complex ones that naturally require more time. This mathematical shift in the composition of the workload perfectly explains why the average time per human interaction spiked, completely resolving the discrepancy.

Step-by-Step Solution

1
Identify the apparent discrepancy.
The bank introduced a chatbot to handle basic inquiries to improve efficiency, yet the average time a human spends on a single customer interaction increased by 60 percent.
Understanding the conflicting premises is the foundation of resolving a paradox.
2
Analyze the nature of the metric being measured.
The surprising outcome is an increase in an average (time per interaction), not a total amount (total hours worked).
Changes in averages can occur strictly through changes in the composition of the group being measured.
3
Evaluate the impact of the chatbot on the composition of the workload.
The chatbot handles 'basic customer service inquiries' which previously made up the 'vast majority' of interactions. These are inherently short tasks.
Connecting the chatbot's function to the specific metric is required to find a causal link.
4
Synthesize to predict the resolution.
If all the short calls are removed from the representatives' workload, only the long, complex calls remain. Averaging only the longest calls will result in a much higher average time per call, even if efficiency is unchanged.
This logical deduction directly anticipates the correct answer choice.
5
Select the option that matches this logical mechanism.
The correct option explicitly states that the workload composition shifted toward complex, time-consuming problems.
This is the only choice that actively resolves the apparent contradiction between the premises.

Key Concept

Explaining Surprising Outcomes (Shifting Averages)
Estimated Time:2m 0s
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Topics

Explaining Surprising Outcomes

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