Percentage of intended users who are satisfied with trainings, approaches, or events focused on adaptive practices

Indicator Number: 
60
Category: 
Logic Model Component: 
Data Type(s): 
Categorical scale, proportion, qualitative
Short Definition: 

Refers to the percentage of intended users who are satisfied with trainings, approaches, or events that focus on or promote adaptive practices

Definition and Explanation (Long): 

This indicator measures the percentage of intended users who are satisfied with trainings, approaches, or events that focus on or promote the management of a project, program, or initiative through adaptive practices. A satisfied user indicates that intended needs and expectations were met. User feedback should inform future activities. Multiple data points will monitor change in user satisfaction over time.

Data Requirements: 

Quantitative data from self-reported surveys or questionnaires using Likert scales to determine user satisfaction with trainings, approaches, or events focused on adaptive practices; qualitative data can provide greater insight into user experience, attitudes, and preferences

Data Sources: 

Surveys

Frequency of Data Collection: 
Semiannually or after specific activities
Purpose: 
The aim of this indicator is to gauge user satisfaction with the trainings, approaches, and events that were selected for adaptive practices purposes in the project, program, or initiative.
Issues and Challenges: 
This indicator does not measure the quality of the trainings, approaches, or events, as it looks at self-reported satisfaction. It is possible for staff to be highly satisfied with a training or event, but for that training or event not have impact on the improvement of the project, program, initiative, or decision-making processes.
Related Indicators: 
The number/percentage of intended users who are satisfied with a KM output (indicator 25), as satisfaction could be associated with knowledge retention and reuse.
Published Year: 
  • 2017
Last Updated Date: 
Wednesday, December 13, 2017