Food4Future 2025: The Future of Food Innovation Depends on Sensory Analysis
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The 9-point scale improves sensory analysis sensitivity and supports reliable decisions, backed by ISO, ASTM and the work of Peryam & Pilgrim.
The 9-point scale is one of the leading tools for measuring consumer acceptance because it combines the sensitivity needed to detect differences with ease of understanding and robust statistical analysis. Developed by Peryam and Pilgrim and widely recognised in sensory evaluation, it helps teams compare products, identify meaningful differences and make better-informed decisions.
The 9-point scale, also known as the 9-point hedonic scale, is a tool used to measure how much consumers like or dislike a product. It consists of:
The midpoint represents a neutral response — “Neither like nor dislike” — while the points on either side capture different degrees of acceptance and rejection.
The main strength of the 9-point scale lies in its ability to balance two competing needs in consumer testing:
A scale with too few points can lead to a loss of information. On the other hand, an overly detailed scale can increase cognitive load and result in less consistent responses.
| Scale | Main Advantage | Main Limitation | Ability to Detect Nuances |
|---|---|---|---|
| 3-point scale | Very simple | Groups different opinions into too few categories | Low |
| 5-point scale | Easy to use | May concentrate responses around central points | Low |
| 7-point scale | Suitable for overall evaluations | May be insufficient for similar products | Medium |
| 9-point scale | Balances sensitivity and ease of use | Requires appropriate methodological implementation | High |
| More than 9 points | More response options | Can increase cognitive load and response noise | Variable |
Three-point scales can result in a significant loss of information by forcing consumers to group different perceptions and opinions into the same category. Five-point scales offer more detail, but may still lack the sensitivity needed to identify nuances between similar products or formulations. At the other end of the spectrum, scales with more than nine points can increase cognitive load and require consumers to distinguish between response options whose differences may be difficult to perceive or justify.
The 9-point scale combines several characteristics that make it particularly effective for sensory analysis and consumer research.
The scale has a clear neutral midpoint and a balanced distribution of positive and negative response levels. This structure captures both liking and disliking around a central point:
This symmetry makes results easier to interpret while providing sufficient detail to capture both product acceptance and rejection.
One of the key factors that makes a scale easy to use is ensuring that each response option has a clear and easily understood meaning.
The 9-point scale uses verbal descriptors to distinguish between different levels of intensity, from responses such as “Like slightly” to “Like extremely.”
For participants, this reduces ambiguity when answering. For researchers, it can help improve consistency in data collection.
In sensory analysis, it is not always enough to know whether consumers like one product or another.
Many studies need to identify small but meaningful differences between formulations, prototypes or established products. A scale with too few response levels can group together answers that actually reflect different consumer perceptions.
The 9-point scale provides greater discrimination between samples without requiring consumers to make an excessive number of distinctions. This balance between sensory sensitivity and cognitive ease is one of its main advantages.
In addition to balancing sensitivity and ease of use, the 9-point scale provides a strong foundation for analysing sensory results statistically.
Its nine response levels produce a symmetrical distribution of data that can approximate a normal distribution, supporting the application of a range of statistical techniques, including:
This analytical capability is particularly valuable when the goal is not simply to collect consumer opinions, but to identify meaningful differences between products, interpret results more rigorously and make evidence-based decisions.
The following table summarises the main differences between shorter, standard and longer response scales.
| Methodological Criterion | 5-Point Scale | 9-Point Scale | More Than 9 Points |
|---|---|---|---|
| Ease of understanding | Very high | High and balanced | Medium to low |
| Sensitivity to differences | Low | High and reliable | High, but with greater risk of noise |
| Suitability for statistical analysis | Medium | Very high | High |
| International standardisation | Limited | Widely used internationally | Variable |
| Balance between precision and ease of use | Limited | High | Can increase complexity |
The key takeaway is that the 9-point scale occupies a valuable middle ground. It provides greater discriminatory power than shorter scales without placing the same cognitive demands on consumers as excessively long scales.
The choice of scale directly affects the quality and usefulness of the decisions that can be drawn from a sensory study.
When two products receive similar ratings on a short scale, it can appear that there are no meaningful differences between them.
A scale with greater discriminatory power can help uncover genuine differences between samples and formulations that might otherwise remain hidden.
The greater granularity of the 9-point scale provides a more precise view of how consumers respond to a product. This is particularly useful for:
The 9-point scale makes it easier to distinguish between different levels of consumer acceptance.
It is also well suited to approaches such as Top Box and Bottom Box analysis, helping teams differentiate highly satisfied consumers from those who express stronger rejection.
This prevents different levels of liking or disliking from being grouped into the same broad category.
A sensory study creates real value when the data collected can be turned into actionable conclusions. The nine-level structure supports statistical techniques that can help teams:
Comparability is another important advantage of using a widely recognised scale. Using a common measurement framework can make it easier to compare results with:
This can help organisations place their results in a broader context and make better use of accumulated sensory knowledge.
| Decision Factor | Short Scale | 9-Point Scale | Very Long Scale |
|---|---|---|---|
| Consumer understanding | Very simple | Simple and detailed | Can be complex |
| Amount of information collected | Limited | High | High, but potentially noisy |
| Detection of subtle differences | Low | High | High, with greater cognitive load |
| Clear neutral point | Variable | Yes | Variable |
| Balance between liking and disliking | Limited | Symmetrical | Depends on the design |
| Statistical application | More limited | Broad | Broad |
| Comparability | Variable | High | Variable |
| Overall balance | Low to medium | Optimal | May become less efficient |
Choosing the right scale is only the first step. With Sensesbit, you can quickly incorporate the 9-point scale into your questionnaires and sensory studies, making it easier to collect structured feedback from panellists and consumers.
But the real value of a sensory study does not lie in collecting data alone. It lies in understanding what that data means and using it to make better decisions.
That is where Sensesbit and its Sensory Agentic AI come in: technology designed to analyse evidence, identify relevant patterns and transform sensory results into actionable insights.
From comparing products and detecting meaningful differences to identifying the attributes that drive consumer acceptance and reducing uncertainty before a launch, Sensesbit helps you move from data to decision.
Request a demo and discover how Sensesbit's Sensory Agentic AI transforms your sensory data into actionable decisions.
See how Sensesbit helps teams turn sensory insight into confident product decisions. Book a tailored demo with our team.
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