Data Use to Improve Implementation

Implementation efforts rely on data to guide ongoing improvement. Data are used to understand current implementation opportunities and challenges and assess the impact of changes and improvements made during implementation. Implementation support practitioners can support teams to identify key questions and change ideas and then think creatively about different types of data – not limited to existing data or established performance measures – to answer those questions and test improvements. 

Read more about best practices for using data to improve implementation.

What Tools or Resources Are Available to Assess Fit and Feasibility?

Implementation Support Practitioners can use the following resource to support data use for ongoing implementation improvement. 

  1. Data Source Selection Matrix: This tool can help implementation teams determine data sources to address their implementation improvement questions. 
  2. Data Review Meeting Agenda Template: This structured agenda template provides a process for implementation teams to review their data, synthesize findings and discuss improvement opportunities. Using a structured agenda for each implementation team meeting helps teams to consistently use data and to effectively communicate within the team and with external stakeholders. 
  3. Root Cause Analysis Resources: These resources can guide teams through two possible root cause analyses: the Fishbone Diagram and the Five Whys. Root cause analysis is a process used to investigate and categorize the root cause of a problem, barrier or challenge. 
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