For a long time, surveys relied on a simple idea: it was enough to ask a question to get a reliable answer. However, behavioral sciences show that our opinions, preferences, and decisions are largely influenced by mechanisms we are not always aware of. Better understanding these limitations now allows us to enrich studies and gain a more nuanced understanding of behaviors and motivations.
Creating an effective questionnaire is not merely about stringing questions together. It's a methodological exercise that demands scientific rigor, a deep understanding of human psychology, and close attention to the respondent's experience. A good questionnaire starts with clear objectives, is structured according to a precise logic (the funnel method), and uses neutral phrasing to avoid bias. The choice of survey type (self-administered, online, face-to-face…) and question format (closed, open-ended, scales) directly influences the quality of the data collected.
Developing a questionnaire may seem like an essential step in a survey or customer research process. It's even one of the most widely used tools in the fields of marketing, user experience (UX), or market research. However, what should be a direct means of accessing respondents' motivations and preferences often turns out to be ineffective, imprecise, or misleading. Why? Because the dominant approach is too rational.
Studies show that every word, every question order, and even the emotional atmosphere perceived by the respondent activate brain mechanisms that can either encourage or hinder the sincerity of responses. Understanding these effects, such as social desirability bias, the halo effect, or cognitive fatigue, allows for the design of more reliable and human-centric questionnaires. It is with this in mind that innovative approaches, such as those from Igonogo, integrate the implicit measurement of emotions to enrich data interpretation.
The objective of this article is therefore clear: to propose a questionnaire methodology that allows for the exploration of unspoken sentiments, drawing on insights from neuroscience, emotional analysis, and neuromarketing techniques. You will discover how to construct a survey questionnaire that reveals what people don't say but deeply feel. Examples, an Igonogo case study, scientific sources, and a checklist will enable you to implement a truly effective method.
Most traditional questionnaires aim to collect verbal, explicit, logical data. They assume that the respondent knows what they think, can articulate their preferences, and answers sincerely. However, cognitive psychology, neuroscience, and behavioral sciences show the opposite: our decisions and opinions are largely guided by processes unconscious, emotional, contextual. 80 to 90% of human decisions are made unconsciously and emotionally, according to neuroscience. The most interesting responses, those that guide action, purchase, loyalty, or rejection, are often implicit, vague, unstated. According to Michel Glaude, Inspector General and Director of Demographic and Social Statistics at INSEE, 70% of stated intentions do not translate into an actual purchase.
Traditional questionnaires are often designed to elicit precise, rational, categorical answers. They ask closed-ended questions, seek to quantify opinions, and compare options. However, this approach suffers from three major biases that distort the results.
This refers to the tendency of every individual to want to present a good image of themselves. Thus, when you ask a customer, 'Would you be willing to recommend this product?', they might answer 'yes' not out of conviction, but because they believe it's the expected or valued response. This phenomenon is well-documented in social psychology, and it is reinforced in contexts where the question is asked directly or perceived as judgmental.
Daniel Kahneman, Nobel laureate in economics, demonstrated in his work System 1 / System 2 that we rationally justify decisions made intuitively or emotionally. Thus, when a respondent explains why they prefer a brand, they are often unable to identify the emotion or mental image that guided their initial choice. They will then invoke a logical justification ("the price," "the quality"), which does not always correspond to the reality of their behavior. A good example is the famous blind taste test between two colas, where the majority of participants preferred the taste of Pepsi. However, when the brands were visible, Coca-Cola was chosen more often.
Most questionnaires are administered in neutral contexts, without emotional activation. However, emotions are the triggers for attention and memory. If you don't stimulate any emotion, you limit engagement and the quality of responses. Neuroscience shows that emotional responses are more reliable than rational responses in predicting future behaviors.
Creating a truly informative questionnaire requires adopting a new design logic. The challenge is no longer just about asking questions, but about creating a cognitive and emotional journey that puts the respondent in the right conditions to reveal their deep feelings.
The introduction to a questionnaire is often overlooked. Yet, it's where the first cognitive activation takes place. By using an engaging hook ("Think about your last store visit..."), an image, or a metaphorical question, we engage what Kahneman calls System 1, meaning intuition, emotion, and emotional memory.
Instead of mechanically stringing questions together, it's more effective to think of the questionnaire as a story being told. We start with open-ended, evocative questions, then refine towards more precise choices. This "cognitive funnel" approach allows us to move from raw emotion to analysis, without compromising the authenticity of the responses.
Images, colors, sounds, and even word choice have a huge impact on how a question is perceived. They allow us to immerse the respondent in a context that closely mirrors their emotional state at the time of their purchasing decision, customer journey, or consumption experience.
In a standard survey, inconsistencies between responses are seen as errors. In reality, they are often the trace of an internal conflict or emotional tension.
For example, a respondent might state that they like a product, while simultaneously associating negative images with it. This type of divergence is valuable : it indicates discomfort, ambiguity, or a potential for repositioning.
Modern analytical tools can detect these weak signals: response times, mouse movements, changes of mind, hesitations... These are the traces of the cognitive process that traditional analysis ignores.
During a product test on the hydrating effects of hyaluronic acid, the Givaudan team, supported by Igonogo, implemented an innovative questionnaire. The goal was not only to measure satisfaction, but also to understand how the product was perceived on a sensory and emotional level.
The questionnaire incorporated several unconventional elements:
• A visual and sensory introduction with textures and visuals evoking hydration
• Projective questions such as: "If this product were a landscape, which one would it be?"
• Behavioral measurement via le finger tracking, which captured hesitations or accelerations in the user journey
Result: the responses showed that women perceived the product's effectiveness better when they imagined tactile sensations associated with childhood (softness, security). This type of information would never have emerged through a closed-ended question or a standard satisfaction scale.
“Emotional responses to a stimulus are integrated into memorized sensorimotor patterns that influence behavior, often without the subject being aware of it.” Candice François (thesis, 2020)
The clarity of objectives determines the quality of the responses.
Example: "To precisely evaluate the effect of a new advertising campaign on brand perception among young adults" is a clear and precise objective.
Neuroscience shows that most choices are impulsive and emotional (System 1), contrary to the idea of constant analytical reasoning (System 2).
Some practical recommendations to avoid these pitfalls:
- Indirect questions: Measure emotions indirectly.
Example : "What personal memory do you associate with this fragrance?" rather than "Do you like this fragrance?".
- Emotion scales: They help identify the intensity of felt emotions.
Example : "To what extent do you feel joy, nostalgia, or excitement when thinking about this product?".
The structure directly influences the responses you get:
- Simple and engaging start: to make the respondent feel comfortable.
Example: "What is your age?" "What clothing brand do you prefer?"
- Thematic grouping of questions: To facilitate thought.
Example: Group all emotional questions together, separate from factual questions.
- Gradual emotional intensity of questions: Introduce the most emotionally involving questions after more neutral ones.
Example: Start with a factual question about product usage before asking about associated emotions.
In "Influence and Manipulation," Robert Cialdini highlights that our decisions are largely dictated by implicit psychological triggers (authority, social proof, reciprocity). Here's how to avoid them in your questionnaires:
- Authority: Anonymize surveys to avoid responses influenced by hierarchical pressure.
Example: An anonymous internal company survey.
- Social proof: Avoid phrasing like "most people prefer..." to avoid influencing responses.
Example: Don't say, "80% of customers prefer this option. What about you?"
- Reciprocity: Limit direct incentives such as gifts or discounts before the survey to improve response rates, which unconsciously compel a positive response.
Tips : what types of questions to capture emotional and implicit aspects?
The types of questions play a decisive role in the questionnaire's ability to uncover unspoken insights. Here are some effective formats:
• Free association : "What are the 3 emotions you associate with this experience?"
• Projection : "If this service were a person, how would you describe them?"
• Visual comparison : "Between these two visuals, which one best evokes your current feeling?"
• Emotional frequency : "How often have you been frustrated by...?"
These formats engage imagination, emotional memory, and reduce biases associated with classic phrasing.
Use advanced analytical methods, such as those from neuromarketing, to identify emotional or implicit contradictions:
- Emotional analysis of open-ended responses: Detect real feelings through chosen words.
- Response time: Measure a respondent's certainty or hesitation, revealing hidden doubts or emotions.
Example : A hesitant answer to a trust-related question can reveal implicit uncertainty about a product.
Discover how Igonogo software can transform your surveys by revealing respondents' hidden emotions.
• Analyze inconsistencies as signals, not errors
• Observe indirect responses (time, hesitations)
• Pre-test on a small panel to identify biases
• Limit questionnaire length to 10-15 minutes
• Structure using an emotional then cognitive funnel
• Use contextual elements (visuals, sounds, narrative texts)
• Vary question types (closed / open / implicit)
• Integrate projective formats (image, metaphor, comparison)
• Choose an emotional entry point from the introduction
• Define the unspoken insights you wish to explore (emotions, perceptions, etc.)
Uncovering the unspoken isn't just about improving a questionnaire. It's changing the very nature of the study. Instead of asking about conscious preferences, we explore emotional dynamics, biases, and internal tensions. And that changes everything. In branding, it helps uncover the mental images associated with a brand, often different from what the company believes it projects. In UX, it reveals invisible negative emotions (frustration, stress, doubt) that hinder adoption. In product marketing, it helps identify unarticulated expectations (security, recognition, simplicity) that are the true drivers of purchase.
Creating a questionnaire, isn't just about asking questions. It's building a cognitive and emotional framework that reveals what people don't always know they feel. It's an approach that demands rigor, attentiveness, and above all, a nuanced understanding of the human brain's mechanisms.
The neuroscience-based approach is not a gimmick: it's a concrete answer to the limitations of self-reporting. It helps capture the deep emotions, the implicit biases, the unconscious tensions that govern behavior.
Abandoning the illusion of a rational respondent means finally acknowledging what science has been teaching us for decades: we are emotional beings who think, not the other way around.
Decoding emotions is the only method that will make your questionnaire results reliable.
Do you want to uncover unspoken insights and capture your respondents' emotions? Request a demo of our software.
Candice François
Co-founder Igonogo – PhD in Psychology and Cognitive Sciences
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