Drive Process, Performance, and Impact.

As part of our mission at TPMA, we explore how structures and institutions adapt to new, innovative approaches to education, workforce, and economic development. We identify and contextualize conditions, factors, and processes that facilitate or hinder progress, outcomes and impact, and cross-organizational collaboration.

Our portfolio includes evaluations spanning from three-months to multiple-year projects. We have worked with individual program sites and multi-site consortia at the local-level, state-level, and across multiple states.

We are adept at managing complex projects that include several stakeholders and partners. Using interconnected processes such as data collection, analysis, and stakeholder engagement, a comprehensive assessment lays the foundation for stronger programs and communities. Whether you are looking for additional resources, continued programming, or continuous improvement, TPMA’s nationally-recognized evaluation team brings together interdisciplinary backgrounds and practitioner experience to deliver a usable and actionable analysis.

Here's how we help.

Implementation Evaluations

  • Focused on fidelity, lessons learned, formative feedback and lessons learned with data collected through interviews, focus groups, and surveys of program leaders, partners, participants, and stakeholders

Outcomes and Impact Evaluations

  • Focused on the extent to which grant objectives and outcomes were achieved and the extent to which the intervention drove the outcomes through the use of quasi- experimental design studies

Cost Analyses

  • Measure the cost benefits of the interventions undertaken.

Evaluation Capacity Building and Technical Assistance

  • Provide support and coaching to clients to prepare them to collect high-quality data that can be used for future analyses

Data Collection Tool Creation

  • Development of data tracking strategies, intake forms, pre-and post-tests, and training
    on best practices for using tools to collect data and data quality assurance practices

Evaluation Planning

  • Logic model development, evaluation methodology design, and evaluability assessments
    to build a foundation for evaluation

Community Based Research

  • Community needs assessments, stakeholder engagement, special population studies