Who we are and
how we work

Dee-Prime is a consultancy focused on sensory and consumer research, connecting R&D and marketing in product decisions.
We work where product, consumer response, and data meet, designing studies that answer the right questions, interpreting results in a consistent way, and structuring data so it can be used across decisions and over time.
In many organizations, data already exists in large quantities, but decisions still depend on how individual results are interpreted.
Small differences, method choices, and natural variability can all influence outcomes.
Our work brings structure to that process, ensuring that results are not only technically valid, but actually usable in real product and business decisions.

How we work with data and decisions

These elements define how data is understood and used over time

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Research design

We design studies that reflect real product decisions. This means choosing the right methods, comparisons, and conditions.
The goal is not just to detect differences, but to ensure that results can be interpreted clearly and used with confidence.

Results interpretation

We interpret results in terms of perceptual differences, consumer response, and real-world impact.
We make explicit what the data means for the decision at hand.
This includes understanding how method choices and variability influence outcomes.
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AI & knowledge integration

We structure data so results can be compared, connected, and reused across studies.
This allows knowledge to build over time, rather than being lost in individual reports.
It also creates a foundation for more consistent decision-making and future predictive models.

Capability building

We support teams in how they design, interpret, and use data.
This includes training, coaching, and collaboration on real projects.
The aim is to build consistency in decision-making and strengthen internal capabilities over time.
capability

How we work with clients

Flexible collaboration, with a unified approach

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Our work adapts to the specific context, questions, and stage of development, while maintaining a consistent approach to how data supports decisions.
We support clients through:
  • targeted advisory and project-based collaboration
  • design and review of sensory and consumer studies
  • interpretation of existing data and results
  • development of frameworks for decision-making and data use
  • training and coaching of teams
So that data can be used consistently across projects, and contribute to building knowledge over time.

A flexible model for end-to-end solutions

Independent expertise, working together

Dee-Prime operates as an independent, specialized partner, focused on the design, measurement, and interpretation of sensory and consumer data.
At the same time, we work closely with clients and a trusted network of partners to deliver complete, end-to-end solutions when needed. This includes integration with complementary capabilities such as data science, AI and model development, software tools, and implementation within R&D and business environments.
This model allows us to stay focused on our core expertise, while ensuring that insights are not only scientifically robust, but also translated into practical applications and decision-making.
Depending on the context, we work directly with internal teams or coordinate broader collaborations, ensuring that the right expertise is connected, and that solutions remain coherent from data generation through to decision-making, and can be built on over time.
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What makes our approach different

how we are different

Making data work in practise

Most organizations already have data and tools. The challenge is how data is generated, structured, and interpreted.
Dee-Prime focuses specifically on this layer.
We do not start from tools or platforms.
We start from how data is created and used in practice.
This means:
  • focusing on measurement quality, not just volume
  • ensuring results are interpretable and comparable
  • making differences meaningful in a decision context
  • enabling data to be reused across projects and over time
AI and advanced analytics become valuable when this foundation is in place, not before.
The value of sensory and consumer data lies not only in the results, but in how they are structured, interpreted, and reused.