Top-2-Box Score is a common way to measure customer satisfaction and feedback in market research. It looks at survey responses where people rate things on a scale (usually 1-5 or 1-7) and combines the percentage of people who selected the top two choices. For example, if people rate a product from 1 (very unsatisfied) to 5 (very satisfied), the Top-2-Box Score would be the percentage who chose 4 or 5. This helps companies quickly understand how many people are truly happy with their products or services.
Analyzed customer satisfaction using Top-2-Box Score methodology across multiple product lines
Improved client reporting by implementing Top-2-Box Scores and Top-2-Box analysis in quarterly reviews
Presented Top 2 Box Score trends to senior management, leading to product improvements
Typical job title: "Market Research Analysts"
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Q: How would you explain the limitations of Top-2-Box Scores to a client?
Expected Answer: A senior analyst should discuss how Top-2-Box can oversimplify results, explain when other metrics might be more appropriate, and demonstrate how to combine it with other analyses for better insights.
Q: How do you use Top-2-Box Scores in trend analysis?
Expected Answer: Should explain how to track changes over time, benchmark against competitors, and identify significant changes that require action.
Q: When would you recommend using Top-2-Box versus mean scores?
Expected Answer: Should explain the benefits and drawbacks of each method, and provide examples of when each is most appropriate for different business questions.
Q: How do you calculate statistical significance for Top-2-Box Scores?
Expected Answer: Should be able to explain basic concepts of comparing proportions and when differences between scores are meaningful.
Q: What is a Top-2-Box Score and how do you calculate it?
Expected Answer: Should explain that it's the combined percentage of the top two response options on a scale, and demonstrate how to calculate it from raw survey data.
Q: How would you present Top-2-Box Scores in a client report?
Expected Answer: Should discuss clear visualization methods, proper labeling, and basic interpretation of the results.