Contact person
Agnieszka Hunka
Senior Researcher
Contact AgnieszkaDo you need to better understand the drivers behind your customers' decisions? When people choose a product or a service, they typically make trade-offs between different features (consciously or unconsciously) to arrive at the choice that works best for them. As business leaders, service providers or policy-makers, it is key that we understand these drivers so we can shape our offering right.
Choice Modelling is a well-recognized quantitative method for modelling behaviour, used to explain and predict individual decision-making. It is powerful for understanding key aspects when developing and launching new products, services or policies, such as:
RISE, as the largest Swedish research institute, offer unique access to diverse expertise under one roof. We have expertise on qualitative methods to create realistic and relevant decision scenarios and access to domain experts to frame experiments. We can build complex experimental designs and test offers, products and services with large, and diverse audiences We also have capability to deliver results understandable to all audiences, ranging from peer-reviewed scientific publications, through policy reports to popular podcasts.
We have broad experience from applying our expertise to areas such as peoples’ acceptance of interruptible electricity contracts, predicting outcomes of transport policies, willingness to pay for remanufactured products, willingness to pay for shared services, and predicting user acceptance of future technologies.
Our research was recognised by the Royal Swedish Academy of Engineering Sciences (IVA) in 2022 as one of the 100 Swedish innovations with great potential: https://www.iva.se/det-iva-gor/utmarkelser/ivas-100-lista/are-consumers…
Our work on Choice Modelling focus on three areas:
A choice experiment is a type of experiment designed to generate preference data by asking decision makers to make choices between provided alternatives. There are different methods that are suitable for specific purposes; Discrete choice experiments (DCE) and Best-worst scaling (BWS).
Our approach typically follows these steps:
Do you have questions about Behavioural Modelling? Contact us via the form below and we will get back to you shortly