User rating of usefulness of content/outputs produced from the use of adaptive practices

Indicator Number: 
61
Category: 
Logic Model Component: 
Data Type(s): 
Categorical scale, qualitative
Short Definition: 

Measures the perceived quality and/or relevance of content/outputs produced from the use of adaptive practices to inform the management of a project, program, and/or initiative

Definition and Explanation (Long): 

User rating of quality and/or relevance of content/outputs produced from the use of adaptive practices to inform the management of a project, program, and/or initiative. “Content” refers to the outputs, such as action steps, that emerge from a training, workshop, session, or event. "Relevance” refers to whether intended users find the information or knowledge applicable and important to their work. Multiple data points are used to monitor change in user reporting of the usefulness of adaptive practices over time.

Data Requirements: 

Quantitative data from self-reported surveys or questionnaire using Likert scales to determine the quality or relevance of participating in activities intended to training in or use adaptive practices for program implementation

Data Sources: 

Surveys, after action reviews

Frequency of Data Collection: 
Semiannually or after specific activities
Purpose: 
This indicator measures the user rating of the quality of the outputs from adaptive practices used in the project, program, or initiative. It is a way to measure the usefulness or quality of the practices.
Issues and Challenges: 
This indicator does not measure the quality of the trainings, approaches, or events, as it looks at self-reported usefulness. It is possible for staff to believe that the practices/outputs were of high quality or relevant, but for those practice/outputs not to have impact on the improvement of the project, program, initiative, or decision-making process. Qualitative data can provide greater insight into user experience, attitudes, and preferences and how quality can be improved.
Published Year: 
  • 2017
Last Updated Date: 
Wednesday, December 13, 2017