Protocol to guide a conversation about root causes of survey results
This data interpretation protocol is designed to help you work backward from a discrete piece of survey data to uncover root causes. Root causes are the deepest underlying causes of outcomes. If these causes were addressed, outcomes would be different. Root causes are generally systemic in nature, so it is also important to identify the deepest root cause that falls within a program’s sphere of influence. Use this protocol to start a discussion with staff, young people, or other stakeholders.