We can make a difference, designing decision processes that take account of the relevant factors, from organisational requirements through to technical uncertainties, conflicting information, and competing demands from stakeholders. Our decision support consultants combine best practice in stakeholder engagement and meeting facilitation with in-depth knowledge of the underlying technical issues, in order to apply a ‘data to decisions’ philosophy that goes beyond what can be achieved by facilitation expertise alone.

Our experience emphasises the benefit of following structured and systematic decision analysis approaches to identify the key factors that differentiate options. These provide the basis for developing the logic that supports and justifies the decision.

We are able to provide valuable insights for complex decisions where the evidence base is highly uncertain, incomplete, conflicting or only partially relevant through decision modelling approaches, including Evidence Support Logic (ESL) that is incorporated into our TESLA software. We also have capabilities in artificial intelligence (AI), machine learning and other areas of operational research (OR), which give us flexibility in how we can best support decision-making processes.

As in the financial world, scientifically-based organisations often need to pursue a portfolio of options that take account of a range of constraints and opportunities. Our experienced consultants are able to support such decisions using portfolio selection techniques, and our software development team can develop software tailored to specific classes of decision.