Public Service


Executive Leadership Collaborative

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Public Service Executive Leadership Collaborative

Providing Executive Training for Connecticut Public and Nonprofit Sector Professionals


Evaluation for Publicly Funded Programs

Friday, March 27, 2020
9:00 AM – 4:00 PM

This full-day session will explore evaluation of publicly funded programs, including:

  • Program evaluation, outcome evaluation, and program monitoring;
  • The importance of designing programs with outcomes and evaluation in mind; and
  • Engaging staff and providers in using data to understand performance.

Learning Objectives:

  • Ability to describe the concepts of, and appropriate use of, program evaluation, performance evaluation, and program monitoring; and differentiate between them;
  • Identify and apply outcome-focused program design to new and redesigned programs;
  • Develop strategies to engage staff and providers in evaluation efforts.
Anne McIntyre-Lahner
With Anne McIntyre-Lahner, 35-plus years of experience in state and nonprofit leadership, and author of "Stop Spinning Your Wheels: Using Results Based Accountability to Steer Your Agency to Success."

 

Morning

We will explore the topic of evaluation in general, including:

  • The reasons for conducting an evaluation
  • Different types of evaluation
  • The difference between performance monitoring and evaluation
  • Leveraging a performance system to support evaluation efforts
  • The importance of understanding why you are conducting an evaluation before you begin
  • Choosing the right evaluator
  • Different factors and contexts to consider when designing an evaluation
  • Involving staff and partners
  • Dealing with data anxiety and discomfort around working with data and evaluators

Afternoon

The afternoon will include practical steps and actions as part of an effective program performance evaluation. These include:

  • Review of performance measures in the context of program evaluation
  • Understanding performance and data contextually
  • Leveraging existing data
  • Means-to-End thinking
  • Post-evaluation review
  • Using evaluation results to improve performance