All too often, the role and contribution of human service agencies to the greater good of the individual and community is not understood. SROI measures change in ways relevant to the people or organizations that experience or contribute to it, assigning monetary values to represent social, environmental, and economic outcomes. We are data collectors and can account for the delivery and impact of our services. Can we use this same data to tell a different story, that funding social service agencies is a not only for a good cause but is a good investment as well?
This workshop will identify the key components of SROI and its application for social service agencies. It will introduce participants to an online SROI Calculator where theory is put into practice to demonstrate, orient and educate agencies as to the utility and benefit of monetizing services and outcomes for the benefit of their clients and their communities.
The SROI model has a process of six key steps to be followed when undertaking an SROI analysis:
Benefits of SROI - Some of the potential outcomes of SROI include:
Frederick Richmond is the founder and President of The Center for Applied Management Practices, Inc., (CAMP) with offices in Camp Hill, Pennsylvania and Denver. Since its founding in 1996, CAMP has worked with health and human service organizations in all matters of planning, program development, evaluation and research. He was part of the team that created the Children’s Health Insurance Program (CHIP) first in Pennsylvania which expanded to the national program known today and was Pennsylvania’s first Kids Count Director. He is the author of two books; Introduction to Results Oriented Management and Accountability and The Accountable Case Manager and was a member of the team that developed the eLogic Model®, a web based software application used in nonprofit and local government health and human services agencies. He spends his time between residences in Denver and Camp Hill, Pennsylvania.
Eligible for four-hour Certificate of Completion (COC)