From Outcomes to Progress: Exploring Stage-Based Evaluation with POSLM.ai

Led by the Washington Evaluators, September 25th, 2:00pm-3:00pm ET

Event Description:

How can evaluators better capture meaningful progress when participants have not yet reached a traditional “final” outcome?

Join Washington Evaluators for an interactive exploration of progressive, stage-based outcome measurement and how emerging AI-supported tools can help evaluators translate incremental change into meaningful evidence of impact.

During this one-hour session, Quisha M. Brown, MPA, creator of the Progressive Outcomes Scale Logic Model (POSLM), will introduce the stage-based approach and demonstrate POSLM.ai, a new platform designed to help evaluators and organizations build progressive outcome frameworks, define stages and indicators, track participant advancement, and use AI to support the development of measurable outcomes.

Rather than simply watching a demonstration, attendees will be invited to explore the platform themselves. Participants will receive complimentary 30-day beta access to POSLM.ai and will have an opportunity during the webinar to begin experimenting with its features and consider how a stage-based approach might apply to their own evaluation work.

The session will also provide space for discussion, questions, and feedback about the opportunities and challenges of integrating AI and progressive outcome measurement into evaluation practice.

Participants will leave with:

• An introduction to progressive, stage-based outcome measurement

• Ideas for capturing meaningful progress that may be missed by traditional outcome measures

• Firsthand experience using AI to support outcome, stage, and indicator development

• Complimentary 30-day beta access to POSLM.ai for continued exploration

This session is intended as a learning and professional development opportunity for the Washington Evaluators community. No purchase is required, and participation in the POSLM.ai beta is optional.