During the pilot phase, the Study Design component will provide advice to the other components to ensure that characteristics of households, their dwelling, and the feedback they receive enable the comparisons specified. The Data Acquisition component will sign up 50 households across the groups to evaluate a mix of the traditional, innovative and tailored recruitment methods, and trial monitoring and support activities. Commercial sensor supply will be reviewed and sensors will be evaluated with householders to ensure effective measurement, communication, and householder acceptance before large scale sensor acquisition. We will work together to refine the specification of building and occupant data to be acquired, and of the information to be passed to the Multimodal Feedback component to support feedback generation. Probabilist models will be developed using data supplied by partners and, similar to the data we will record from dwellings, to investigate which of the possible behaviour inference methods performs best. We will run focus groups and controlled experiments to determine the most appropriate ways to present personalised feedback that is understandable and appealing to different target user groups. We will work with utility Smart Meter teams to define consumption feedback for controls, and will develop the feedback tablet environment and web application framework for presenting feedback to occupants. We will also develop the overall data pipeline to handle streaming data and provide timely feedback to occupants. By the end of the pilot the project will begin full roll-out.