How to build stronger market research with behavioral insights

Market research helps teams understand what people need, notice, ignore, and act on. The right method can reveal why a product concept works, where a customer journey breaks down, how shoppers make decisions, or whether a campaign captures attention. 

But no single method answers every question. 

Surveys can measure what people say at scale. Interviews can uncover motivation. Observation can show what people do in context. Behavioral methods, including
eye tracking, can reveal what people actually notice in the moments that shape decisions. 

This overview explains common market research methodologies, when to use them, and how to combine them for more reliable insights.

What is market research? 

Market research is the process of collecting and analyzing information about customers, competitors and markets. It helps teams replace assumptions with evidence, enabling better decisions about products, messaging, experiences and strategy. 

Strong market research can help teams: 

• Identify unmet customer needs 

• Understand motivations, attitudes and behavior 

• Test product, packaging, advertising or UX concepts 

• Track changes in demand or customer expectations 

• Reduce risk before launch 

• Set benchmarks and measure performance 

Research works best when teams start with a clear question. Are you trying to understand why people behave a certain way, measure how common a behavior is, or evaluate whether a design performs better than another? The answer should guide the methodology. 

Qualitative vs. quantitative research 

Most market research methods fall into two broad categories: qualitative and quantitative. 

Qualitative research 

Qualitative research explores the “why” behind behavior. It helps researchers understand motivations, perceptions, emotions, and unmet needs. 

Common qualitative methods include: 

• One-on-one interviews 

• Focus groups 

• Ethnographic research 

• Observational studies 

• Diary studies 

Qualitative research is useful early in a project, especially when teams need to explore a problem, uncover the language customers use, or generate hypotheses for further testing. 

Quantitative research 

Quantitative research measures attitudes, preferences, or behaviors using numerical data. It helps teams understand scale, compare segments, and identify statistically meaningful patterns. 

Common quantitative methods include: 

• Surveys 

• Structured questionnaires 

• A/B tests 

• Market sizing studies 

• Benchmarking studies 

Quantitative research is useful when teams need to validate findings, compare options, or measure changes over time. 

The strongest research plans often combine both. Qualitative methods can uncover what to ask, while quantitative methods can show how widely those findings apply. 

Surveys and questionnaires 

Surveys are widely used in market research because they can quickly and efficiently gather input from large groups. They work well when teams need to measure awareness, satisfaction, preferences, purchase intent, or brand perception. 

However, survey quality depends on question quality. Poorly worded questions can produce misleading results. 

To improve survey design: 

• Keep questions clear and specific 

• Avoid leading or biased wording 

• Use consistent response scales 

• Balance open-ended and closed-ended questions 

• Test the survey with a small group before launch 

• Keep the survey short enough to maintain response quality 

Surveys are especially useful for measuring what people think, remember, or say they prefer. They are less reliable when people are asked to recall small details, explain unconscious behavior, or predict what they will do in a real-world situation. 

Focus groups 

Focus groups bring a small group of participants together for a guided discussion. They help researchers explore reactions to ideas, messages, products, or experiences. 

Focus groups can be useful when teams want to understand: 

• Early reactions to product concepts 

• Perceptions of a brand or category 

• Responses to messaging or creative ideas 

• Emotional drivers behind choices 

• The language customers use to describe needs or frustrations 

The group setting can foster valuable discussion, but it can also introduce bias. A dominant participant may influence others, and people may adjust their answers to fit the group. For that reason, focus group findings should guide exploration, not serve as proof that a view represents the wider market. 

Interviews 

One-on-one interviews give researchers a deeper understanding of individual needs, motivations, and decision-making. They are especially useful for complex topics that require space to explain experiences in detail. 

Interviews work well for: 

• Understanding customer journeys 

• Exploring barriers to adoption 

• Investigating decision criteria 

• Learning how users evaluate products or services 

• Identifying pain points in a workflow or experience 

Because interviews rely on what people say, they are strongest when paired with behavioral or observational methods that show what people actually do. 

Observational research 

Observational research studies people in real or simulated settings. Rather than asking participants to explain their behavior, researchers observe how they interact with products, environments, interfaces, or tasks. Eye tracking is a particularly powerful observational tool, as it shows exactly what people notice, ignore, and focus on in the moment. 

This method can reveal behaviors people may not notice or mention in an interview. For example, researchers might observe how shoppers navigate a store, how users interact with a prototype, how drivers respond to an in-vehicle display, or how visitors move through a public space. 

Observational research is useful for studying: 

• Shopper journeys 

• UX and product interactions 

• Wayfinding behavior 

• Packaging engagement 

• Driver experience 

• Physical environments 

The main benefit is context. Researchers can see behavior as it happens, including hesitation, friction, workarounds, and moments of confusion. 

Secondary research 

Secondary research draws on existing information, such as industry reports, academic studies, public data, competitor materials, analytics, customer reviews, or internal research. 

It is often the best starting point because it can help teams: 

• Understand market trends 

• Size a market 

• Map competitors 

• Identify knowledge gaps 

• Build hypotheses before primary research 

• Avoid duplicating existing work 

Secondary research is fast and efficient, but teams should evaluate the quality of sources, methodology, and publication date before using it to guide decisions. 

Case studies 

Case studies examine a specific project, customer, campaign, product launch, or use case in depth. They can show how a method worked in practice, which decisions it informed, and the outcomes that followed. 

Case studies are useful for communicating the value of research internally. They can help teams understand how insight becomes action. 

However, case studies are not designed to represent an entire market. They should support learning and decision-making, not replace broader research when generalizable evidence is needed. 

Digital research tools 

Digital tools have made research faster, more scalable, and easier to run across markets. 

Common tools include: 

• Survey platforms 

• Social listening tools 

• Web analytics 

• Remote usability testing platforms 

• Online communities 

• Digital behavior analytics 

• Remote eye tracking platforms 

These tools help teams gather feedback, track behavior, and test content quickly. They are most valuable when researchers connect the data to a clear business question and combine it with methods that explain why the behavior occurs.

Eye tracking and attention research 

Many traditional research methods rely on what people say, remember, or self-report. This creates a challenge because people cannot always accurately recall what captured their attention, what they ignored, or how they moved through a decision. 

Eye tracking helps close that gap by showing where people look, for how long, and in what sequence. For market researchers, consumer researchers, UX teams, and product teams, this can reveal how attention shapes behavior in real time. 

Eye tracking can help researchers understand: 

• What captures attention first 

• Which elements people overlook 

• Where confusion or friction may occur 

• How people navigate shelves, screens, packaging, ads, and environments 

• How visual attention changes across tasks, contexts, or audiences 

These insights can strengthen research across several areas, including shopper studies, packaging tests, advertising research, UX research, wayfinding, product development, and driver experience. 

Tobii tools for market research 

Tobii provides eye tracking and attention computing tools that help researchers study behavior across real-world, lab-based, and remote environments. 

Tobii Pro Glasses 3 

Tobii Pro Glasses 3 are wearable eye trackers designed for real-world research. They can support studies such as shopper journeys, in-store behavior, packaging evaluation, wayfinding research, and driver experience testing. 

Tobii Pro Lab 

Tobii Pro Lab is an eye tracking software that helps researchers design studies, collect data, and analyze gaze behavior. Teams can use it to work with visualizations and metrics such as heatmaps and areas of interest. 

Tobii Sticky 

Tobii Sticky is a remote eye tracking platform for testing digital content such as ads, videos, packaging, and websites with larger audiences, using participants’ own devices. 

Webcam eye tracking 

Webcam eye tracking enables researchers to measure visual attention remotely using standard webcams, with no specialized hardware required. It can be used to run large-scale studies on digital content, helping teams understand how people engage with ads, websites, and other on-screen experiences in more natural viewing conditions. 

Together, these tools can help teams identify attention patterns, detect friction, and evaluate whether experiences work as intended. 

Turning research data into action 

Collecting data is only the first step. The value of market research lies in interpreting findings and using them to make better decisions. 

A strong analysis process should: 

• Connect findings to the original research question 

• Distinguish clear evidence from assumptions 

• Look for patterns across methods 

• Identify implications for the business 

• Prioritize actions by impact and confidence 

• Share insights in a format stakeholders can use 

Whether a team is analyzing survey responses, interview transcripts, eye tracking data, or observational notes, the goal is the same: Find patterns that help teams improve products, experiences, messaging, and strategy. 

How to choose the right market research methodology 

The best methodology depends on the decision you need to make. 

Use qualitative research to explore motivations, needs, or perceptions. Use quantitative research to measure scales or compare options. Use observational and behavioral methods to understand what people do in context. Use eye tracking when visual attention plays a role in the experience or decision. 

A practical research plan often combines methods.

For example: 

• Use secondary research to understand the market. 

• Use interviews to explore customer needs. 

• Use surveys to validate findings at scale. 

• Use eye tracking to study attention and behavior. 

• Use analysis workshops to turn findings into decisions. 

This blended approach gives teams a more complete view of the customer and reduces the risk of relying on a single data type. 

Final thoughts 

Market research is most useful when it links human behavior to better decisions. Traditional methods such as surveys, interviews and focus groups remain valuable, but they work best when paired with methods that capture what people do in real-world contexts. 

For teams studying products, packaging, stores, digital experiences, ads, wayfinding or driver experience, eye tracking adds another layer of evidence. It helps researchers better understand what people notice, what they miss and where attention may break down. 

The result is a clearer view of how people engage, decide and act, and a stronger foundation for strategy.