Let’s Work Together to Use Data Science to Improve Your Efforts
Third-Party Research and Evaluation
What We Do
EvalNetwork is a consulting firm that helps organizations identify the right questions to ask and then use data science and research methods to answer them.
We have worked as program evaluator or research partner on a wide variety of projects funded by federal and local governments, foundations and private sources since 2000.
EvalNetwork uses quantitative, qualitative and mixed methods research approaches to address important issues in a wide of areas including: substance-abuse treatment and prevention, mental illness and homelessness, obesity prevention, nutrition enhancement, physical activity promotion, developmental disabilities, problem solving courts, mental illness and the criminal justice system, out-of-school services, and college internships.
Outcome evaluation assesses the effects of a program on the targeted population by determining progress toward meeting outcome objectives. Impact or outcome evaluations are used when stakeholders need to know the extent to which program objectives were met.
Outcome evaluation addresses the following type of question: Did our participants benefit from their participation in the project?
Needs assessment involves the systematic use of scientific methods to identify the gap between what is and what should be. A variety of techniques can be used in concert to conduct a needs assessment; specifically, literature reviews, surveys, focus groups, stakeholder interviews, and analysis of archival data are all commonly used. Needs assessment is used to determine how best to allocate resources and leads to action that improves organizational efforts.
Surveys are used to collect meaningful information about participants and to assess change on targeted outcomes. We follow a systematic and scientifically-based process for developing surveys to help ensure that findings can be trusted. Data analytic methods are used to gain deep insights into respondents’ knowledge, attitudes, and behavior. Data visualizations are used to make the results more comprehendible and actionable.
Customer and employee satisfaction are assessed using survey research methods. The satisfaction of the individuals you serve is a key performance indicator and impacts their loyalty to your organization and can positively influence targeted outcomes.
Employee engagement and satisfaction are associated with a host of positive outcomes for organizations. More satisfied and engaged employees have less turnover, lower absenteeism, and provide better customer service resulting in better customer satisfaction.
Through focus groups and interviews we collect in-depth information about specific aspects of projects that are of interest. For example, these qualitative techniques can be used to obtain insight into the experiences of participants or to understand how programs can best achieve their goals. Specialized scientific techniques are used for extracting meaning from open-ended data sources and findings are presented in practical reports.
Data visualization is the presentation of data or data analysis results in a pictorial or graphical format. Decision makers can utilize data visualizations to understand more complicated results or concepts. Statistical results related to your organization’s efforts are made more comprehensible so that effective action can be taken. “A picture is worth a thousand words” is seen through our data visualization work with the Health Foundation of South Florida, Healthy Eating Active Communities initiative.
Quantitative data analytic techniques are used to answer important questions you have about your projects. Appropriate research designs are formulated, data collection instruments developed or identified, and relevant data are obtained. Data can be analyzed utilizing descriptive, univariate and multivariate statistics. A clear understanding of data analysis results is facilitated using data visualizations and various reporting approaches.
Predictive modeling uses multivariate statistics to predict outcomes of interest. Historical data can be used to predict the occurrence of an event (e.g., sales) based on other factors (e.g., advertising campaign type). It can be used to obtain insight into the variables (e.g., participant characteristics) that impact program outcomes (e.g., reading scores). Predictive modeling can be utilized for a variety of practical purposes including the optimal allocation of limited program resources and the tailoring of programs to participants.
A logic model is a one-page visual document that shows the link between inputs, activities, outputs, and outcomes of an initiative or effort. Logic models are used by organizations for program and strategic planning as well as program evaluation. They help to clarify program priorities and outcomes and facilitate the building of consensus among stakeholders.
We develop actionable reports to provide feedback to organizations. Products such as One-Page Infographic Executive Summary are developed to encourage effective communication and utilization of findings. We also develop evaluation and program summaries in a video format to make information about projects more accessible to a broad audience. Video are professionally designed and produced. View the visual program evaluation report we developed for Bridging Families and Communities in Miami, FL.