Instruction: Outline a study design that could be used to reliably measure the causal impact of implementing a new chatbot on customer satisfaction levels.
Context: This question evaluates the candidate's ability to apply causal inference principles to design a practical study for a real-world scenario. Candidates should consider aspects such as the selection of control and treatment groups, methodologies to minimize bias, and how to measure outcomes effectively.
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To start, the fundamental question here centers on determining whether the implementation of a new chat tool genuinely causes an improvement in customer satisfaction. To answer this, we'll need a study design that not only measures the before-and-after effects but also accounts for any external factors that could influence our results. Here's how I would design the study:
First, we clearly define our metric of interest, customer satisfaction. For the purpose of this study, let's measure customer satisfaction through a standardized survey that captures overall satisfaction on a scale from 1 to 10, immediately following interactions with customer service. This direct approach helps us quantify satisfaction levels in a consistent and comparable manner....
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