5 Mistakes You're Making in User Research

UX research, is often, the step all the product teams want to ignore or skip because it might seem like one of the simpler facets of UX or even worst, not necessary, but don't be fooled. UX research is as useful as the design, the code and the marketing strategies. It is the one who will explain you who your user is, and what they really want.

For that reason, UX research demands a significant investment of time, effort, and the savvy application of various frameworks, hypotheses, and analytical approaches. While the goal is to understand and enhance the user experience, it's easy to fall into common traps that can skew your results and lead to misguided decisions.

In 2024, with UX research continuously evolving, recognizing and avoiding these pitfalls is more crucial than ever. Let's dive into five key mistakes you might be making and explore how to steer clear of them.

Mistake 1: Cutting the User Research to Save Time and Money

One of the most common mistakes that can be detrimental to the success of a product or service is cutting corners on user research in an attempt to save time and money. Conducting thorough user research is a crucial step in understanding your target audience's needs, preferences, and pain points, which can ultimately guide the development and design process.

Sacrificing Depth for Efficiency: Skipping in-depth interviews for quicker methods can lead to superficial insights that miss underlying user motivations.

• Overlooking Long-Term Benefits: Short-term savings can result in long-term costs if the product fails to meet user needs effectively.

• Neglecting Diverse User Perspectives: Limited research can overlook the diverse range of user experiences, leading to a product that caters to a narrow audience.

• Underestimating the Impact of Comprehensive Research: Comprehensive research can uncover unexpected opportunities for innovation and improvement.

• Relying Solely on Quantitative Data: Quantitative data is valuable, but without qualitative insights, it can lead to misinterpretation of user behaviors and needs.

Mistake 2: Having Broad or Unclear Research Objectives

Another major errors often committed in research is failing to define specific, clear, and focused research objectives. Many researchers, especially those who are new to the field, often make the mistake of opting for broad or vague goals. This lack of precision can lead to confusion and a lack of direction in the research, making it more difficult to draw valuable conclusions from the data gathered.

• Lack of Focus: Without specific objectives, research can become unfocused, leading to irrelevant or unusable data.

• Misalignment with Business Goals: Research objectives that don’t align with overall business goals can result in misdirected efforts and resources.

• Overwhelming Scope: Too broad objectives can make the research overwhelming and unmanageable, leading to incomplete or superficial results.

• Ineffective Questioning: Vague objectives often lead to poorly constructed survey questions or interview guides, reducing the effectiveness of the research. Check our 50+ survey questions to ask your users blog to attack this mistake.

• Difficulty in Measuring Success: Clear objectives are essential for measuring the success and impact of UX research.

• Ignoring New Trends: Not staying updated with the latest research methods, such as remote user testing or AI-driven analytics, can limit the effectiveness of your research.

• Underuse Mixed Methods: Combining qualitative and quantitative methods can provide a more comprehensive understanding of user behaviors and attitudes.

Mistake 3: Ineffective Survey Question - Content view

The use of ineffective survey questions can result in the collection of unreliable and non-actionable data. This is a critical issue as it can significantly impact the accuracy of the results and conclusions drawn from the data. Consequently, it can hinder the ability to make informed decisions based on the data. Therefore, it is essential to ensure the use of well-constructed and effective survey questions to obtain reliable and actionable data.

• Leading Questions: "How amazing did you find our service?" This presupposes a positive experience.

• Double-Barreled Questions: "How satisfied are you with our app's speed and design?" This conflates two different issues.

• Jargon and Technical Language: Using industry-specific terms can confuse respondents not familiar with the terminology.

• Overly Broad Questions: "Tell us what you think about our product." This lacks focus and can overwhelm respondents.

• Not Offering a Neutral Option: Forcing a choice between positive and negative can skew results.

Mistake 4: Misinterpreting NPS (Net Promoter Score) Survey Results

The Common Error of Misinterpreting the Results of NPS (Net Promoter Score) Surveys, can result in a misunderstanding between two critical concepts in customer relations: customer loyalty and customer satisfaction. The NPS is an index that measures the willingness of customers to recommend a company's products or services to others. (You can read more about it here).

NPS gauges the customer's overall satisfaction with a company's product or service and the customer's loyalty to the brand. Misinterpreting the results could potentially lead to misguided strategies and decisions, which could, in turn, impact the business negatively. Therefore, it's crucial to understand and interpret these results correctly to drive informed strategic decisions and actions.

• Overemphasis on the Score: Focusing solely on the NPS score without understanding the reasons behind it.

• Ignoring Detractors: Not addressing the concerns of detractors can lead to missed opportunities for improvement.

• Confusing Loyalty with Satisfaction: A high NPS doesn't always mean users are satisfied; it could reflect a lack of alternatives. You can also read our Guide to Understanding NPS Scores: Unlocking the Key to Customer Satisfaction.

• Not Segmenting Respondents: Different user groups might have varying reasons for their scores, which gets lost in an aggregate view.

• Infrequent Surveys: NPS should be tracked over time to understand trends and the impact of changes.

Mistake 5: Overlooking the Nuances in UX Research Surveys

The consequences of neglecting to pay due attention to the subtle nuances and complexities that are intrinsically involved when conducting user experience research surveys can be detrimental. These intricate details often hold the key to understanding user behavior, preferences, and needs. Neglecting them can lead to a lack of depth and understanding in the research findings, thus failing to provide the accurate insights necessary for effective decision-making and strategic planning.

• Not Tailoring Surveys to Specific User Journeys: Generic surveys miss the subtleties of different user experiences. Explore the Examples of UX research surveys to better understand your users.

• Ignoring Qualitative Feedback: Focusing only on quantitative data misses the rich insights that open-ended responses offer.

• Not Integrating Surveys with Other Data: Surveys should be part of a broader data strategy, including analytics and user testing.

• Neglecting Follow-Up: Not reaching out for further clarification can lead to misinterpretation of responses.

• Overlooking Cultural Differences: Global products need surveys that consider cultural nuances in language and perception.


By avoiding these common mistakes in UX research, you can ensure that your efforts are effective, insightful, and aligned with both user needs and business objectives. Remember, successful UX research is a meticulous blend of strategic planning, methodical execution, and continuous adaptation to emerging trends and technologies.

Maria Correa

She is a Project Manager for tech companies with hands-on experience in B2B SaaS products, particularly within early-stage startups or when constructing a product from scratch. She is passionate about Digital and User-centered products. Right now, she is helping Told in developing effective marketing strategies.