Getting the question right is the most important component in information design, and it’s the most common point where information design goes wrong. This is because information is always relative. Always. Before you can undertake any kind of visualization exercise, you need to know what question you want to answer, and for whom. So I propose the beginnings of a theory of information relativity: 1. All information is relative, and it’s always relative: relative to the observer and the observer’s point of view; relative to the culture and its values; relative to the situation; relative to what has come before, and to what will come next. 2. The value of information is always relative because it is directly related to it’s usefulness, which depends on the user, the context and the situation. 3. Information design must therefore be driven by the context within which it will be experienced. Information design must serve the needs of real human beings doing real things. Information wants to be used.

Hi, I'm Robert I hope this concept card is useful for you and helps you add a new tool to your toolbox. As someone who helps teams develop products, services and experiences, I did not see many open resources out there that combine behavioral science with other strategy and design processes, so I decided to take my experience and create frameworks and boards to share for free. If you have questions on the framework you can connect with me on Linkedin or see my website.

BC patterns are a collection of reoccurring solutions used in Behavioural Design to change people’s behaviour. They are patterns that designers, change makers and problem solvers can consider when solving people problems and designing behaviour change.

This toolkit has been designed by the Research and Evaluation Unit (RIMU) at Auckland Council to be useful to those wishing to improve public programmes or services, policy development, or team decision-making. It draws on a range of existing resources produced by the Behavioural Insights Team, the OECD and others (see ‘other resources’ on the next page). This toolkit has two components that can be used either separately or together. The first component is a step-by-step process for developing a behavioural intervention. It guides the user through understanding existing behaviours, identifying a desired behaviour, brainstorming ideas for promoting the desired behaviour, and robustly testing the best ideas. The user should follow the steps in the order they are numbered. It is focused on key questions to ask at each step. It is not a complete guide to how to answer these questions, however, and the user may need to rely on other research and evaluation resources to help with each step. The second component of the toolkit is a series of ‘brainstorming’ cards. The cards cover many important behavioural principles to keep in mind when looking to improve programmes, policies, or decision-making. Each card includes a description of the behavioural principle, some examples, and suggestions for how to apply the principle. They can be used on their own or to brainstorm ideas as in the step-by-step process above. To help with navigation, the card set has been organised into a series for better services and a series for better decisionmaking, although there is overlap in the use of the cards. The former is marked with a red dot in the top left corner and the latter with a green dot.

Method:Three participatory workshops were held with the independent Welsh residential decarbonisation advisory group(‘the Advisory Group’)to (1)maprelationships betweenactors, behavioursand influences onbehaviourwithin thehome retrofitsystem,(2)provide training in the Behaviour Change Wheel framework(3)use these to developpolicy recommendationsfor interventions. Recommendations were analysed usingthe COM-B (capability, opportunity, motivation) model of behaviourtoassesswhether they addressed these factors. Results:Twobehavioural systems mapswere produced,representing privately rented and owner-occupied housing tenures. The main causal pathways and feedback loops in each map are described.