Although surveys are the most frequently used means of assessing customer satisfaction, the meaning of survey results is often difficult...

GMAT Multi Source Reasoning : (MSR) Questions

Source: Official Guide

Multi Source Reasoning

MSR - CR

HARD

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Notes

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Survey Difficulties

Business Owner

Although surveys are the most frequently used means of assessing customer satisfaction, the meaning of survey results is often difficult to determine. For example, disappointed or angry customers often seize an opportunity to vent their opinions, but contented customers often do not. Even so, surveys can be very useful. In particular, resurveying over time can reveal trends in customer satisfaction.

How a sample of individuals is selected can, however, distort survey results in other ways. Because businesses tend only to survey their own customers, those businesses' ratings may rise artificially as dissatisfied people go elsewhere and cease being their customers. And a business might interpret a difference in satisfaction ratings between two groups of customers as evidence that it is delivering better service to one than it is to the other, when the true difference lies only in the expectations of different groups of customers. Lastly, because many businesses define customer satisfaction as "meeting or exceeding expectations," this metric may fall simply because expectations have risen.

Ques. 1/3

Assuming each of the following statements is true, select Yes if the information provided suggests it would help explain the difference in the impressions created by the online reviews and the in-person feedback of the prepared-food business as described in the business owner's passage. Otherwise, select No.

Yes

Customer satisfaction may fall because expectations have risen.

Yes

People often cease patronizing a business with which they are dissatisfied.

Yes

Contented customers often do not seize an opportunity to vent their opinions.

Solution

OWNING THE DATASET

Understanding Source A: Text Source - Academic Analysis of Survey Challenges

Information from Dataset	Analysis
""disappointed or angry customers often seize an opportunity to vent their opinions, but contented customers often do not""	Unhappy customers are more likely to respond to surveys than happy ones Inference: Survey results may show more negative feedback than actually exists because satisfied customers stay silent Inference: Response bias makes surveys appear more negative than reality
""resurveying over time can reveal trends in customer satisfaction""	Doing the same survey multiple times helps track changes Inference: Even with flaws, surveys are valuable for spotting patterns Inference: Trends matter more than absolute numbers
""businesses tend only to survey their own customers, those businesses' ratings may rise artificially as dissatisfied people go elsewhere""	Companies only survey people who still shop with them Inference: The most unhappy customers have already left and won't be surveyed Inference: This survivorship bias makes satisfaction scores look better than they really are
""difference in satisfaction ratings between two groups...when the true difference lies only in the expectations of different groups""	Different customer groups might rate the same service differently Inference: It's not that service is different - it's that expectations are different Inference: Comparing satisfaction between groups requires understanding their baseline expectations
""customer satisfaction as 'meeting or exceeding expectations,' this metric may fall simply because expectations have risen""	Satisfaction is measured against what customers expect Inference: If expectations go up, satisfaction scores can drop even if service stays the same Inference: The satisfaction metric itself is unstable over time

Summary: Source A reveals multiple ways customer satisfaction surveys can be misleading: unhappy customers respond more, the most dissatisfied have already left, and different groups have different expectations that affect their ratings.

Understanding Source B: Text Source - Business Owner's Experience with Online Reviews

Information from Dataset	Analysis
""high-quality, premium-priced food""	The business sells expensive, upscale food Inference: Target market is customers willing to pay premium prices
""negative reviews on a social-media website...reviewers are usually anonymous""	The business got bad online reviews Inference: Can't tell who these reviewers really are Linkage to Source A: This exemplifies Source A's point about ""disappointed or angry customers"" being more likely to provide feedback
""reviewers were considerably younger and less affluent...different expectations with regard to prices""	Online critics were younger and had less money than regular customers Inference: These reviewers expected lower prices due to their demographics Linkage to Source A: Perfect example of Source A's concept that ""expectations of different groups"" create different satisfaction ratings for the same service
""customer base of older professionals who routinely express satisfaction""	Regular customers are older, wealthier, and happy Inference: Core customers match the premium positioning Linkage to Source A: Illustrates survivorship bias - satisfied customers stay and keep shopping, while price-sensitive customers leave and write negative reviews
""reviewers make smaller-than-average purchases and buy a higher-than-average proportion of sale and clearance items""	Data shows online reviewers are bargain hunters Inference: Reviewers aren't typical customers Linkage to Source A: Validates that feedback comes from non-representative samples
""If businesses all try to please the same segment of reviewers, they risk weakening their appeal to their target markets""	Chasing reviewer approval could hurt the actual business Inference: Responding to wrong feedback risks losing core customers Linkage to Source A: Shows the practical danger of misinterpreting biased feedback that Source A warns about

Summary: Source B provides a real-world example of Source A's theories: a premium food business discovered their negative online reviewers were younger, less affluent customers with different price expectations than their satisfied core market of older professionals.

Overall Summary

Both sources reveal that customer feedback mechanisms systematically misrepresent true satisfaction levels due to response bias (unhappy customers speak up more) and demographic differences (different groups have different expectations).
Source A provides the theoretical framework explaining why surveys and reviews are biased, while Source B shows a real business experiencing these exact biases with younger, price-sensitive reviewers criticizing a premium product loved by older, affluent customers.
Key insight: businesses must understand who is providing feedback and why before making changes, as vocal minorities in feedback channels often don't represent the satisfied but silent majority.

Question Analysis

In Plain Terms: For each of the three statements, determine if it helps explain why a prepared-food business receives negative online reviews but positive in-person feedback from customers.

Key Constraints:
- Evaluate each statement individually as Yes or No
- Focus on explaining the difference between online and in-person feedback
- Consider the specific context of the business and customer feedback sources

Answer Type Needed: Binary evaluation (Yes or No) for each statement

Evaluation Process

Each statement is evaluated against the analysis that explains why online reviews tend to be negative and in-person feedback tends to be positive.
Statements related to response bias and survivorship bias are expected to explain the feedback difference.

Statement 1 Evaluation

Statement: Customer satisfaction may fall because expectations have risen.
Analysis: This statement addresses a general satisfaction trend over time, not the feedback channel difference.
NO - Does not explain why online and in-person feedback differ.

Statement 2 Evaluation

Statement: People often cease patronizing a business with which they are dissatisfied.
Analysis: This creates survivorship bias—only satisfied customers remain to give in-person feedback.
YES - Explains why in-person feedback is more positive.

Statement 3 Evaluation

Statement: Contented customers often do not seize an opportunity to vent their opinions.
Analysis: This describes response bias—dissatisfied customers are more motivated to post online reviews.
YES - Explains why online reviews are more negative.

Systematic Verification

Cross-checking each statement with known biases and explanations:
Statement 1 does not address channel-based differences but general satisfaction changes.
Statement 2 aligns with survivorship bias, explaining why dissatisfied customers don't appear in in-person feedback.
Statement 3 matches response bias, explaining why dissatisfied customers dominate online reviews.

Final Answer

Statement 1: No, Statement 2: Yes, Statement 3: Yes

Answer Choices Explained

Yes

Customer satisfaction may fall because expectations have risen.

Yes

People often cease patronizing a business with which they are dissatisfied.

Yes

Contented customers often do not seize an opportunity to vent their opinions.

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