We offer Program and Process Analysis services on a project basis to improve the net impact and cost-effectiveness of programs.
Please contact Tom Yoder if you are interested in receiving a proposal from us. We work with you to define the scope and pricing per project.
We analyze the cost-effectiveness of programs using data, statistical, and econometric analyses. In cost-effectiveness analysis, we analyze and isolate individual program effects on performance indicators and state these effects per dollar of expenditure. Organizations use this information to make resource allocation decisions across programs to achieve their program goals at lower cost.
We perform Net Impact Analysis to support reporting of program impacts to stakeholders. To perform this analysis, we measure the impact compared to the situation in which the program did not exist. If desired, we can perform process improvement analysis as well to take advantage of synergies in data collection. Organizations use this process information to improve the net impact of the program going forward.
We perform data analysis studies to create composite indicators. A composite indicator is a single measure for explaining a significant cause-and-effect relationship. For example, a transportation access indicator is a composite measure for explaining a cause-and-effect relationship between a transportation program that has goals of improving health outcomes, household economic security, and industry productivity.
With the implementation of the Government Accounting Standards Board Statement No. 77 on reporting the foregone taxes from abatements, now is the time to start reporting on the economic impacts of your development efforts. For each economic development incentive program that you need to report on, we create an economic accounting statement to support the reporting of economic impacts associated with the abatements.
We provide professional, independent reviews of cost-effective and net impact analyses. Our reviews cover issue definition, data sources and validation, selection and implementation of analytic methods, quality control procedures, and reporting formats and content.