The scale up toolkit for behaviour change

  • What is scale up?

  • Challenges in scale up

  • What are the stages of scale up?

  • Why focus on the early stages of scale up?

  • Pick the right behaviour

  • Prioritise feasible interventions

  • Pick a scalable intervention

  • Design an optimal intervention for testing and scale up

  • Identify and test scale up assumptions

  • Understanding systems around scale up

  • Scale up in policy and government contexts

  • Coordinating with multiple organisations

  • Executing scale up effectively

  • Monitoring/evaluation at scale

  • Case studies coming soon!

Read the research paper

We conducted a systematic overview of reviews of scholarly evidence on scale up, and 11 practice interviews with behaviour science researchers and practitioners to identify the factors and activities that influence the scale up of behaviour change interventions. This research underpinned the development of the scale up toolkit.

Read the preprint manuscript on the Open Science Framework:

Saeri, A. K., Slattery, P., Tear, M. J., Varazzani, C., Epstein, D., Knott, C., Kusmanoff, A. M., Bagshaw, H., Liao, J., Orjuela, S., Smith, L. D. (2021). Scale up of behaviour change interventions: A rapid review of evidence and practice. doi: 10.31219/osf.io/scd3k

BehaviourWorks Australia and the Victorian Government Behavioural Insights Unit have developed an evidence-informed toolkit to help behavioural insights researchers and practitioners to start with scale up in mind, including how to:

  • Learn about scale up, its challenges, and useful frameworks.

  • Identify which behaviour to target with an intervention.

  • Assess the feasibility of different intervention ideas.

  • Select a scalable behaviour change intervention.

  • Design or adapt an intervention for testing and scale up.

  • Test scale up assumptions about your intervention in a pilot or trial.

This website provides videos and tutorials on how to use the toolkit, and extra resources to help achieve behavioural impact at scale. All content will be iterated upon; we welcome feedback and the opportunity to develop better tools.