Real product challenges.
Better-informed decisions.
Examples of how robust sensory and consumer research helps reduce risk and guide better decisions in product development, reformulation, and innovation
How to Change a Successful Product Without Losing Consumers
A Babysteps approach to product differentiation.
How gradual consumer learning helped a successful brand move in a new sensory direction without losing loyalty.
When Consumers Notice the Difference, Does It Matter?
Consumer sensory segmentation to quantify opportunity and risk.
Why perception matters as much as satisfaction when evaluating reformulations and product changes.
Which Discrimination Test Data Can You Build On?
Post-hoc diagnostics to assess the quality of reference-based discrimination data.
A case study on evidence quality, decision confidence and reusable sensory knowledge.
Does a Changed Product Still Meet Consumer Expectations?
The development of the Degree of Satisfaction-Difference (DOSD) method
A reference-based approach to measuring how consumer evaluation changes — and whether the changed product still meets the criterion that matters
From Panel Sensitivity to Consumer Relevance
How to tell whether a difference detected by a trained sensory panel is likely to be noticed by consumers?
This case study shows how trained-panel and consumer sensitivity can be linked using d′, allowing results from appropriate test methods to be compared and translated into more consumer-relevant action standards.
Beyond Simple Attribute Ratings
Simple attribute responses can hide more than they reveal.
The Double-Faced Applicability test was developed to make attribute responses more informative by separating applicability, certainty and contrasting descriptors.
Applied with both consumers and sensory panels, and across food and non-food products, DFA has supported consumer experience and expectation profiling, product characterization and more efficient sensory profiling.
From Product Experience to Consumer Satisfaction
What consumers judge can change throughout the usage journey.
This case study shows how consumer decision criteria, DFA and satisfaction measurement can be connected to understand not only what changes in the product experience, but whether those changes matter.
