How Cognitive Bias In Respondents Skews Market Research Data?

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How Cognitive Bias In Respondents Skews Market Research Data? employee satisfaction survey
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Market research is a critical channel for businesses to understand their target customers’ preferences, market trends, and opportunities and to make informed decisions. However, the accuracy and reliability of the research findings are often compromised due to cognitive biases. 

Biases such as confirmation bias, cultural bias, availability bias, and social desirability bias can significantly alter data, leading to over or underrepresented opinions and misguided strategies. The implications of basing decisions on such skewed data can be far-reaching, from resource wastage to revenue loss. 

In this blog, we’ll identify these cognitive biases in market research and look into ways to mitigate them to ensure effective research. 

What is Cognitive Bias?

Cognitive bias refers to the quirks and mental shortcuts that influence how humans interpret information and make decisions. These biases don’t always have a conscious effect, but they can lead to inaccurate judgments and illogical interpretations. 

In the context of market research, biases can influence how respondents perceive the goal of the survey and answer questions, leading to skewed data. The presence of cognitive biases in market research can lead to: 

  • Distorted data: The findings may not reflect genuine preferences or behaviors, leading to misinformed business efforts. 
  • Misinterpretation: Businesses may draw incorrect conclusions, leading to flawed decisions. 
  • Reduced validity: It can significantly harm the validity and reliability of the market research findings. 

Understanding the impact of cognitive biases helps ensure the data collected represents the true target audience. 

See how Voxco helped Coyne Research boost productivity by 100% & reduce scripting time by 50%

What are the Types of Cognitive Biases in Market Research?

Cognitive biases are one of the key sales and marketing tactics for boosting customer retention and repurchase. However, they can be damaging when a business wants to gather accurate data from its target audience. 

Here, we will look into some key cognitive biases in respondents that can impact market research. 

1. Confirmation bias

It is the tendency to interpret and retain information that confirms one’s preexisting beliefs while disregarding contradictory evidence. In market research, this can lead to respondents giving answers that align with their preconceived expectations. 

For instance, a customer who is loyal to a specific brand will only notice the positive aspects and share positive experiences, ignoring the negative experiences. This can lead to gathering data that doesn’t reflect diverse opinions. 

2. Anchoring bias 

Anchoring bias occurs when respondents rely too heavily on the first information they encounter when responding to a question. For example, if respondents are initially exposed to a high price for a product in market research, they might evaluate the subsequent prices based on this factor. 

This can disproportionately influence their subsequent responses. 

3. Availability bias

The availability heuristic is the behavior of overemphasizing an event’s importance, frequency, or likelihood based on how easily a customer can recall it from memory. Respondents may stress their most memorable experience as particularly negative or positive instead of an average assessment. 

 For example, respondents might emphasize the dangers of flying compared to driving after hearing about several airplane accidents despite the statistical evidence showing otherwise. 

4. Social desirability bias

Social desirability bias occurs when respondents answer a survey question in a manner they think will be viewed favorably by others. This can cause respondents to over-report the accepted behaviors and under-report the negatively viewed behaviors, skewing the data towards socially acceptable norms. 

For example, if asked about using paper bags, respondents might overstate their behavior to align with environmentally friendly practices. 

5. Recency bias

Customers often give undue emphasis on recent events or events they can remember clearly over those that occurred in the past. In market research, this cognitive bias can result in overemphasis on certain trends or issues, distorting the overall picture. 

For example, a recent glitch in a product may overshadow years of customer experience. Respondents may base their feedback on their latest interaction with the company rather than considering their long-term experience. 

6. Bandwagon effect

Bandwagon bias refers to the tendency to align one’s opinions or behaviors with those perceived as popular or because others are doing so. The bias reflects the influence of social conformity as people adopt attitudes that align with the majority. 

For example, respondents may express a preference for a product that is currently popular or trendy rather than their own individual preference. 

7. Hawthorne effect

The Hawthorne effect explains the changes in respondents’ behavior when they become aware they are being observed. In market research, this can result in participants changing their behavior or perception to appear more in line with the perceived expectations. 

For example, respondents may claim higher product satisfaction if they know the company aims to improve product quality. 

8. Survivorship bias

Survivorship bias occurs when respondents focus on positive experiences while ignoring failures or negative experiences. For example, respondents may only report positive aspects of the product/services and omit any dissatisfactions. This can lead to overlooking real issues faced by customers.

9. Cultural bias

Cultural bias refers to the phenomenon where customers interpret information based on their own cultural values, norms, and experiences. In the context of market research, this cognitive bias can significantly impact a respondent’s ability to understand survey questions and share their feedback. This occurs when the context/questions of the survey are not culturally sensitive. 

Also read: BiasIn Data Collection: Exploring The Complexities

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How to Mitigate Cognitive Bias in Market Research?

Ensuring anonymity and confidentiality or using neutral language are three ways to mitigate cognitive bias in market research data. Here, we’ll dig deeper into how you can design a survey to limit the impact of each of these biases

1. Confirmation bias

To reduce confirmation cognitive bias, provide balanced questions encouraging respondents to consider multiple perspectives. 

  • Biased question: How satisfied are you with our no. 1 customer support agent?
  • Mitigated question: How would you rate your overall satisfaction with our customer support agent?

2. Anchoring bias 

Randomize the answer options and avoid presenting extreme values that might influence respondents’ answers by setting an anchor. 

  • Biased question: Considering our $150/month premium plan, how much would you be willing to pay for a basic plan per month?
  • Mitigated question: How much would you willingly pay for our monthly basic subscription plan? 

3. Availability bias

To mitigate availability bias, your questions should prompt respondents to consider a range of experiences over a longer timeframe and not just the most recent or memorable experience. 

  • Biased question: How satisfied were you with our service last week?
  • Mitigated question: Rate your satisfaction with our service over the past six months. 

4. Social desirability bias

Communicate with your respondents that their identities will remain anonymous and that their responses won’t be tracked back to them to reduce pressure to conform to social norms. Additionally, use neutral language to ensure the question doesn’t influence social desirability bias

  • Biased question: Do you recycle regularly?
  • Mitigated question: How often do you find it challenging to recycle? 

5. Recency bias

To limit the influence of recency cognitive bias, ask questions that encourage respondents to reflect on long-time experiences. 

  • Biased question: How was your experience with our app last month?
  • Mitigated question: How has your overall experience with our app been over the past eight months since you downloaded it? 

6. Bandwagon effect

Design survey questions that minimize peer influence and motivate respondents to focus on their opinions. 

  • Biased question: Most of our clients love our product. Do you agree?
  • Mitigated question: How would you rate our product compared to others you have used?

7. Hawthorne effect

Conduct anonymous surveys to minimize respondents’ awareness of being observed. 

  • Biased survey design: We are conducting this survey to improve our app. How would you rate your satisfaction?
  • Mitigated survey design: Please rate your dissatisfaction/satisfaction with the app’s usability. 

8. Survivorship bias

To mitigate survivorship bias in your market research, actively seek feedback from customers who have discontinued using your product or services. Additionally, conduct longitudinal surveys will be conducted to analyze changes in satisfaction over time. 

  • Biased question: Select your reason for continuing to use our product from the list. 
  • Mitigated question: What were your reasons if you stopped using our product?

9. Cultural bias

Be aware of cultural sensitivity to ensure your questions and answer options are culturally appropriate. Use a survey translation tool to resonate with the diverse audience and ensure relevance. Additionally, you should provide context for questions that respondents from different cultural backgrounds may find unfamiliar. 

  • Biased question: How often do you shop from our brand during Thanksgiving?
  • Mitigated question: How often do you shop from our brand during major festivals or holidays in your culture?

Voxco helps the top 50 MR firms & 450+ global brands gather omnichannel feedback, measure sentiment, uncover insights, and act on them.

See how Voxco can enhance your research efficiency.

Using Cognitive Testing Surveys to Reduce Bias

The cognitive testing surveys help you evaluate how comprehensible the survey questions are to reduce cognitive bias. The aim is to find problems with the survey questions to improve the quality and limit biased answers. 

The cognitive testing surveys help you tackle four factors that lead to biased responses: 

  • Confusion about survey questions or answer options
  • Misinterpretation of survey questions
  • Feeling the question is irrelevant even when it touches upon relevant experience

The survey provides a direct method for understanding how your respondents may interpret your survey question. It will show you how the questions may affect a respondent’s perception and ability to answer.  

Conclusion

Cognitive biases in market research are often overlooked. However, they can significantly impact the accuracy and reliability of your market research data. Addressing these biases enables you to understand genuine market trends, customer preferences, and needs, guiding informed business decisions. 

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