Key takeaways
- Measuring emotions helps researchers understand why people make decisions, not just what they do.
- Emotions are difficult to measure because many are subconscious or difficult to articulate.
- Poor survey design, particularly leading questions, can distort emotional data.
- Well-designed and neutral survey questions that combine both structured and open-ended formats, provide a more complete picture of emotional response.
- Kantar helps organisations capture insights through expert survey design and advanced research methodologies.
Consumers rarely make decisions based on logic alone. Whether choosing a new product, responding to an advertising campaign, or deciding which brand to trust, emotions play a significant role in shaping perceptions and behaviour.
This makes emotional measurement an increasingly important part of market research. Understanding how consumers feel helps organisations move beyond awareness and preference to uncover the motivations that actually drive purchasing decisions.
Measuring emotion, however, is far more complex than asking respondents how they feel. Emotions are often subconscious, difficult to describe, and easily influenced by the way questions are asked. Even subtle changes in wording or survey flow can unintentionally shape responses and reduce data quality.
So how can you design surveys that capture emotion more effectively without unintentially leading respondents?
Why measuring emotion matters in research
Organisations increasingly want to understand not just what consumers think, but why they think it. Emotional measurement can help explain:
- Why an advertisement is memorable
- Why customers trust one brand more than another
- What drives loyalty and advocacy
- How products make consumers feel
- Which experiences create frustration, excitement, or confidence
Why emotions are difficult to measure
Unlike demographic information or purchase behaviour, emotions are often:
- Subconscious: People may not fully understand what they're feeling in the moment.
- Hard to articulate: Respondents may struggle to find the right words.
- Subject to rationalisation: After making a decision, people often create logical explanations for emotionally driven choices.
- Influenced by social desirability: Some emotions may feel more acceptable to report than others.
As a result, asking a direct question like "How much did you love this ad?" may not accurately capture a person's true emotional response.
The problem with leading questions
One of the biggest risks in emotional research is introducing bias through question design.
Many surveys rely on questions such as:
- “How much did you love this product?”
- “How exciting did you find this advertisement?”
These questions suggest a feeling before measurement even takes place.
By using emotionally loaded language like “love” or “exciting,” the survey nudges respondents toward a particular type of response. This is known as leading, where a question contains wording, assumptions, or framing that pushes respondents towards a specific response.
The result is often inflated or overly positive data that doesn’t reflect true sentiment.
Common design pitfalls to avoid
Leading questions are only one part of the problem. Measuring feelings and motivations can also be distorted by:
Question order effects
Earlier questions shape how later questions are interpreted.
Context setting
How a stimulus is introduced can influence emotional reactions.
Priming
Language or instructions that suggest how respondents should feel.
Overly complex surveys
High cognitive load leads to rushed or superficial responses.
Avoiding these issues is critical to capturing more authentic emotional data.
A better approach: designing surveys for emotion
Measuring emotion effectively requires a more thoughtful and respondent-centric approach. It’s not just about what you ask, but how and when you ask it.
Here are five practical ways to improve emotional measurement in surveys.
1. Use neutral, non-leading language
Start by removing assumptions from your questions.
Instead of: “How much did you love this ad?”
Ask: “How did this ad make you feel?”
Neutral wording allows respondents to express their true reactions without being guided toward a specific answer.
2. Combine structured and open-ended questions
Closed-ended questions provide scale and comparability, but they can miss nuance.
Open-ended questions allow respondents to:
- Describe feelings in their own words
- Explain what triggered those emotions
- Reveal unexpected insights
Used together, these approaches provide both breadth and depth.
3. Use follow-up questions to explore emotion
Rather than relying on a single question, build in probes.
For example:
- Ask an initial rating
- Follow with a tailored question based on the response
This approach feels more relevant to respondents and encourages more thoughtful answers.
4. Reduce cognitive load
If a survey is difficult to complete, emotional data quality suffers.
To improve responses:
- Keep questions short, simple, and clear
- Group related topics together
- Avoid long or repetitive lists
A smooth survey experience makes it easier for respondents to reflect and respond honestly.
5. Pilot test emotional questions
Pilot testing surveys before launch is particularly important for emotional research.
Pilot testing can uncover:
- Unintentionally leading wording
- Scales that skew too positive
- Confusing emotional labels
- Unexpected response patterns
Small adjustments at this stage can significantly improve data quality.
The bottom line
Emotion can’t be captured with a single question or scale. It requires thoughtful design, the right mix of question types, and an approach that puts the respondent experience first.
For researchers, the opportunity is clear: better measurement of emotion leads to better insight and ultimately, better decisions.
At Kantar, our approach to custom survey research combines:
- Expert survey design that minimises leading questions and response bias
- Advanced methodologies, including implicit and behavioural techniques
- Integration of survey and passive data where appropriate
- Global research capabilities across markets and audiences
- Rigorous quality controls from questionnaire design through analysis
This helps organisations generate emotional insights that are both reliable and actionable.
Want to learn more?
Leading research partners like Kantar focus on improving respondent engagement from the start. If you’d like support designing surveys that include balanced and clearly written questions that measure feelings, motivations, and more, sign up for our monthly survey design tips and best practices.
