Skip navigation links
Home
Services
Technical Expertise
About Us
Careers
News
Events
Product Center

 



Home > Services > Metrics and Evaluation

 

 

Metrics and Evaluation 

Metrics and Evaluation

Energetics helps clients evaluate their performance to improve internal management decisions and communicate value to stakeholders. Our performance measurement experts work closely with clients to develop a "logic model" that captures the underlying theory of how a program's actions will lead to the intended results. We use the logic model to identify metrics that track progress toward program goals and demonstrate the program’s efficiency and effectiveness. We also help clients implement appropriate retrospective and prospective evaluation methods and analysis techniques. In addition, we help clients display tracked performance data in concise, meaningful ways that help programs make effective decisions and demonstrate program value.

Program Design

Working collaboratively with clients to understand and map how program activities lead to achievement of program goals, using:

  • Research into the client program
  • Stakeholder meetings
  • Logic modeling

Performance Metrics Development

Identifying a set of metrics that meet internal and external stakeholder needs, using:

  • Stakeholder needs assessment
  • Metrics workshops
  • Evaluation planning

Evaluation Methods and Analysis

Implementing evaluation methods and analyzing data to inform decision making, using:

  • Research design
  • Qualitative methods
  • Quantitative methods
  • Measurement instruments
  • Statistical analysis

Performance Tracking

Developing internal data systems to track performance while meeting the requirements of external tracking systems, using:

  • Needs assessment
  • Internal tracking systems
  • Dashboards
  • The Program Assessment Rating Tool (PART)

Prospective Benefits Analysis

Estimating the future benefits of current program activities, using:

  • Benefits methodology
  • Model input development
  • Benefits modeling

Risk Analysis

Introducing uncertainty into prospective benefits analysis, using:

  • Risk methodology
  • Elicitation of expert opinions
  • Model simulations