Discover what people care about when making choices involving trade-offs.

1000Minds Conjoint Analysis – also known as Choice Modelling or Discrete Choice Experiments (and if you’re unsure, see what is Conjoint Analysis?) – helps you answer questions like these:

  • Which attributes of a new product design (‘concept’) are most important to consumers?
  • Which criteria do stakeholders – e.g. citizens – consider when making decisions?
  • What are their weights (‘part-worth utilities’), representing their relative importance?
  • Which concept or other outcome of interest is best?

Applications range from marketing research and new product development to public-policy research, and so on in a wide range of areas – see our case studies and publications.

We’re honoured that 1000Minds is used for research and teaching at more than 170 universities worldwide – confirming 1000Minds’ scientific validity and user-friendliness (see our awards).

Adaptive Conjoint Analysis

1000Minds implements the PAPRIKA method, which involves choosing between pairs of concepts defined on the attributes of interest. Each time a choice is made, 1000Minds adapts by formulating a new question to ask based on all previous choices.

1000Minds is fast and scaleable. No extra analysis is needed to derive standard Conjoint Analysis outputs and, depending on your application, potentially 1000s of people can participate in Conjoint Analysis Surveys.

How 1000Minds works

Learn more from this simple guide.

1000Minds Conjoint Analysis

Adaptable templates

Or build your own models from scratch.

1000Minds demo models