Monthly Webinar | Logic Models and Performance under the Uniform Guidance-Video Recording

Video Transcription

Video Summary

This NGMA Crow-Horwath webinar, moderated by Patrick McEntee with presenter Karen Norris, focused on the use and importance of Logic Models in grants management, particularly within the public sector. Karen, a recognized grants consultant, highlighted Logic Models as vital tools for demonstrating performance and outcomes tied to resources and activities, aligning closely with the Uniform Guidance requirements emphasizing results-oriented grant management.<br /><br />The presentation covered the foundational components of a Logic Model: inputs (resources such as funding and personnel), activities (program actions), outputs (measurable products like number of workshops or participants), and outcomes (the ultimate changes or benefits resulting from the program). Karen stressed that while outputs measure quantity, true evaluation hinges on outcomes, the impact of activities on the target population.<br /><br />Challenges addressed included complying with federal requirements, articulating long-term outcomes despite short-term grants, managing cause-effect relationships, and distinguishing between outputs and outcomes. Logic Models help overcome these by clearly outlining these relationships in a structured format, often presented in tables.<br /><br />Several common formats were reviewed, including column-based tables separating inputs, activities, outputs, and outcomes, sometimes with outcomes subdivided into short-, mid-, and long-term impacts. Logic Models also support compliance monitoring, performance reporting, and program evaluation, helping grant recipients and pass-through entities track progress and align with funding agency expectations.<br /><br />Karen further linked Logic Models to well-crafted, measurable objectives, emphasizing that clear, specific, and time-bound objectives facilitate meaningful Logic Models that better demonstrate program success. Examples illustrated moving from broad goals to SMART objectives, process objectives focused on outputs, and outcome objectives centered on results.<br /><br />Overall, Logic Models are practical, widely endorsed by funders, and enhance grant accountability by connecting resources spent to demonstrable changes achieved.

Keywords

Logic Models

grants management

public sector

Uniform Guidance

inputs

activities

outputs

outcomes

performance evaluation

SMART objectives