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Echo Breaker is our in-house research and analysis department and provides cognitive research with a focus on Decision Making. Researching decision making provides unique insight into human reasoning- what people focus on, what they ignore, how they use and make sense of their environment, and how they utilise resources to get tasks done. Crucially, researching decision making provides the insight into how and why errors occur and how to stand a better chance of avoiding them in the future


For an organization, getting access to this insight helps to add value in the following ways-

•Greater levels of personal and organizational resilience and improved responses to unexpected events

•Improved strategy and planning through increased levels of error detection and risk

•Improved management of uncertainty, errors and risks

•Greater levels of creativity and innovation

•Task redesign to improve performance through the enhancement of problem solving skills


Echo Breaker achieves these outcomes by applying a unique and tested research methodology called the Spiral. The Spiral operates on two basic stages-


It locates decision errors in a person, team or organizations current decision making by applying cognitive task analysis and reasoning tests


Based on the results taken from stage one we apply the most appropriate method from our “tool kit” and effectively fix the decision error.


Our tool kit includes methods such as life size visualization, scenario testing and gamification.



To find out more about how our approaches can help you please get in touch.





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Research & Analysis




Staffordshire Public Health has worked with the Echo Breaker model over a number of years and this has proved to be a useful framework that has helped in the development and understanding of public health programmes.  


We have used the model in very different types of project, for example the evaluation of a community project in a deprived area and also in a qualitative data collection exercise looking at access to lifestyle services for people with mental health problems and the model has proved suitable to use in both settings.


It provides a structured and intuitive way to collect data in a way that also helps commissioners to frame solutions to the problems identified.


Sue Wardle FFPH- Health Intelligence

Staffordshire Public Health