Conducting Consumer Evaluation for Dairy Product Acceptance

When a dairy company wants to know whether consumers will actually buy their new probiotic yogurt or reduced-fat cheese, trained panel scores alone won’t answer that question. Consumer evaluation fills that gap – it brings in everyday people, not technical experts, to assess whether a product genuinely appeals to its intended market. Unlike descriptive analysis, which quantifies sensory attributes in clinical terms, consumer evaluation focuses on liking, preference, and purchase intent. For dairy manufacturers, it’s one of the most direct tools for connecting what’s made in the processing plant to what actually succeeds on the retail shelf.

What consumer evaluation is – and how it differs from trained panel testing 🔗

Consumer testing is conducted by everyday people who evaluate products and answer questions about how much they like them or how likely they are to purchase. This is fundamentally different from descriptive analysis panels, which are made up of trained individuals who detect and quantify sensory attributes but never assess liking or purchase intent. In consumer evaluation, panelists are not instructed to identify specific flavor notes or texture intensities – they simply respond to the product as a regular user would. A sensory acceptance test allows manufacturers to understand consumers’ likes, dislikes, and preferences before investing significant capital in scaling up a new product or adopting a new technology. For dairy products – which range from fluid milk and yogurt to aged cheeses and ice cream – this kind of feedback is especially valuable because the sensory experience is central to repeat purchase behavior.

Who participates: selecting a representative consumer panel 🔗

The reliability of consumer evaluation data depends heavily on who is recruited to participate. The panel must represent the actual or intended market for the product. Large consumer panels of 100 or more participants are typical for general preference testing, though the exact size varies with study objectives and statistical requirements. For dairy products specifically, participants are commonly recruited based on their regular consumption habits – a consumer who never drinks milk, for example, would not be a meaningful evaluator of a new fluid milk variant.

Beyond consumption habits, demographic diversity is essential. Key variables include age, gender, and socio-economic status, all of which can significantly shape how people perceive and accept dairy products. Research on functional yogurts found that female consumers showed high acceptance for products enriched with calcium, fiber, and probiotics, and that acceptance increased among consumers with greater diet and health-related knowledge, as well as with aging. This reinforces why demographic stratification in panel recruitment is not merely procedural – it directly shapes the interpretive value of the results.

Key factors influencing consumer acceptance of dairy products 🔗

Sensory attributes are widely considered to be the most important determinant of food acceptability, but they are not the only one. Consumer acceptance of dairy products is shaped by two broad categories of factors: product-related and consumer-related.

Product attributes 🔗

The primary product attributes evaluated in dairy consumer studies are taste/flavor, texture/mouthfeel, appearance/color, and aroma. For yogurt, smoothness and tartness are central; for cheese, factors like sharpness and body dominate; for fluid milk, freshness and absence of off-flavors define acceptability. Beyond intrinsic sensory properties, extrinsic factors – including packaging, price, availability, and labeling – also influence whether a consumer accepts a product. A dairy product might score well on taste in a blind test but underperform if its packaging signals poor quality or its price is perceived as unreasonably high relative to competitors.

Consumer demographics and lifestyle 🔗

Age affects sensory sensitivity and taste preferences – older consumers may be more tolerant of pronounced flavors in aged cheese, while younger consumers often prefer milder profiles. Gender can influence both preference direction and the weight placed on health-related attributes. Socio-economic status affects price sensitivity and the degree to which premium positioning is appealing or off-putting. Cultural background also plays a role: cultural factors can influence how consumers use and interpret hedonic scales, which is an important consideration when designing studies across diverse markets. Additionally, brand familiarity has been found to drive acceptance among consumers with low general interest in health – meaning even a technically superior product may underperform if it lacks brand recognition.

The hedonic scale: the standard tool for measuring acceptance 🔗

The workhorse instrument in dairy consumer evaluation is the 9-point hedonic scale, the most widely used scale for consumer acceptance testing globally. Developed at the U.S. Army Quartermaster Laboratory in the early 1950s and subsequently adopted by the food industry, the scale runs from 1 (“dislike extremely”) through a neutral midpoint of 5 (“neither like nor dislike”) to 9 (“like extremely”). Its main advantages are simplicity, speed, and the ability to generate numeric data that can be analyzed statistically.

In a study evaluating 14 UHT milk products, the 9-point hedonic scale was applied across 61 adult consumers to measure liking for overall acceptability, and significant differences in liking scores were found across organic whole milk, ordinary whole milk, low-fat milk, and skimmed milk. This illustrates exactly how the scale functions in practice: consumers score individual attributes and overall liking, and the resulting data reveals which product formulations resonate most strongly with the target market. When more than two products are compared, results are analyzed using ANOVA followed by post-hoc tests such as Tukey or Fisher to determine which differences are statistically significant.

While the 9-point format is the industry standard, 5-point and 7-point versions are also used depending on the research context, with the 5-point scale being particularly common in field studies or institutional settings where a faster, simpler evaluation is needed. For studies involving children or non-English-speaking populations, modified or visual scales may be more appropriate.

Designing an effective consumer evaluation questionnaire 🔗

The questionnaire is the core data-collection instrument in consumer evaluation, and its design directly determines the quality of insights obtained. Developing products that appeal to consumers is less straightforward than it seems, and constructing a useful consumer questionnaire requires both skill and experience. A poorly worded or overly long questionnaire produces noisy data that is difficult to act upon.

Structure and question types 🔗

A well-designed dairy consumer evaluation questionnaire typically covers four areas: demographic information, product attribute ratings, overall liking/acceptance, and purchase intent. Demographic questions – covering age bracket, gender, income level, and dairy consumption frequency – are best placed at the end of the questionnaire rather than the beginning, as starting with personal questions can reduce participant engagement. A comprehensive questionnaire for dairy product studies should cover socio-demographics, dietary patterns, consumption habits, and acceptance to enable meaningful segmentation of results.

For attribute-level ratings, structured Likert or hedonic scales are used for each sensory dimension – taste, aroma, texture, color/appearance, and overall acceptability. Open-ended questions can follow to capture unanticipated feedback: “What, if anything, would you change about this product?” yields insights that no pre-defined scale can capture. Purchase intent is typically measured with a 5-point scale ranging from “definitely would not buy” to “definitely would buy,” providing a direct business-relevant metric alongside the sensory scores.

Practical design principles 🔗

The survey should be brief enough to encourage full participation – ideally completable in no more than 10 minutes – and questions should be neutral and unbiased to collect honest feedback. Leading questions that hint at a desired answer distort the data and undermine the study’s validity. Before deployment, the questionnaire should be piloted with a small group to identify any issues with clarity, question order, or flow. Coding errors in sample labeling – for example, using numbers that might imply a ranking – can also bias responses and should be avoided. Samples are typically presented with random three-digit codes to prevent order and label bias.

Test formats: central location vs. home use testing 🔗

Consumer evaluation of dairy products can be conducted in two main settings, each with distinct advantages. Central Location Testing (CLT) brings consumers to a controlled facility – typically a sensory lab with individual evaluation booths – where standardized conditions ensure that all participants assess products under identical circumstances. This format is preferred when precise control over sample temperature, serving size, and presentation order is important, which is often the case with dairy products like fluid milk or fresh cheeses that require refrigeration and immediate service.

Home Use Testing (HUT), by contrast, sends products to consumers’ homes for evaluation in their natural context. This approach is valuable for products like yogurt or cheese that are consumed habitually and where the real-life consumption environment influences the experience. HUT typically generates data with higher ecological validity – consumers behave more naturally – but is harder to control for variables like storage conditions and portion consistency. For new dairy product launches, a combination approach is common: a CLT study establishes initial acceptance benchmarks, followed by a HUT study to validate performance under real-world conditions.

From data to decisions: how consumer evaluation guides product development 🔗

Consumer evaluation data serves multiple purposes beyond a simple pass/fail verdict. When a dairy company uses hedonic scores alongside demographic breakdowns, it can identify market segments with distinct preferences – for instance, discovering that consumers aged 18-30 prefer a milder yogurt flavor while those aged 50+ score the same product lower due to insufficient tartness. These insights allow targeted reformulation or the development of product variants aimed at specific consumer groups.

The data also informs decisions about pricing and availability. If hedonic scores for a new premium cheese are high but purchase intent is low, this often signals a price sensitivity issue rather than a sensory one – a finding that can redirect commercial strategy without requiring any change to the recipe. Conversely, a product with moderate overall liking scores but consistently high texture ratings may only need a flavor adjustment to become commercially viable. In yogurt consumer studies, the 9-point hedonic scale has been used successfully to predict liking across different formulations, revealing which variants generate the strongest and weakest consumer responses. This makes consumer evaluation not just a validation step, but an active guide throughout the entire product development cycle – from early concept screening to post-launch quality monitoring.

What do you think? If you were designing a consumer evaluation study for a new flavored milk product, which demographic variables would you prioritize in your panel recruitment, and why? And do you think central location testing or home use testing would give you more actionable data for a product intended for everyday household consumption?

References

1. https://sensory.ncsu.edu/evaluation/
2. https://pmc.ncbi.nlm.nih.gov/articles/PMC9103760/
3. https://www.siroccoconsulting.com/food-sensory-evaluation-canada/
4. https://www.researchgate.net/publication/320227677_Study_of_Consumer_Acceptance_by_Means_of_Questionnaire_Survey_Towards_Newly_Developed_Yogurts_with_Functional_Ingredients
5. https://link.springer.com/content/pdf/10.1007/978-1-4615-2167-9_13.pdf
6. https://www.frontiersin.org/journals/food-science-and-technology/articles/10.3389/frfst.2023.1071216/full
7. https://www.mdpi.com/2304-8158/11/9/1350
8. https://link.springer.com/chapter/10.1007/978-1-4419-6488-5_15
9. https://www.sciencedirect.com/science/article/pii/S1878450X25001325
10. https://tastewise.io/blog/food-survey
11. https://pmc.ncbi.nlm.nih.gov/articles/PMC8227163/