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2025 Conference Schedule
Where We'll Be

Let's Connect at a Conference!
We speak on the most pressing workforce issues facing disability & aging service providers today. These topics are perfect for conference breakouts, keynotes, or executive sessions and are designed to be 45 minutes long (leaving 10 minutes for questions in standard conference sessions).
The GoodLife University Team is also happy to provide any number of the presentations in a stand-alone, in-person or virtual conference.

Workforce 101: Solutions to Stabilize Your Workforce
Our Signature Session!
This presentation offers a comprehensive toolbox for measuring and addressing organizational (in)stability. With over 30 years’ experience designing and implementing innovative labor solutions, our team will share specific and practical strategies that are proven to increase provider margins and Direct Care Workforce wages, improve payroll/benefits, and will discuss unique approaches for front/back scheduling and vacancy coordination. Attendees will receive impact data from numerous case studies where GoodLife U’s methodologies were analyzed, including GoodLife itself where 98% of our Direct Care Workforce positions are filled.
Living the GoodLife: Creating Technology-Leveraged HUMAN Services for the Next Generation of Care
Explore how tech-enabled care models like GoodLife’s Neighborhood Network and Shared Living are transforming service delivery for semi-independent and vulnerable populations. This session dives into CMS Final Settings Rule compliance, the shift away from traditional group care, and how remote and in-home support technologies promote privacy, independence, and timely care—even in rural areas. Learn how these models strengthen the direct support workforce and improve outcomes through ethical, person-centered strategies.
Perfect for executives, program leaders, and policy influencers seeking scalable, sustainable solutions in human services.
Workforce Metrics and How to Use them to make everyday improvements in Direct Care Workforce Stability
Struggling with workforce instability and shrinking margins? This session offers a practical toolbox for measuring, analyzing, and improving organizational health. Learn how GoodLife U uses dynamic dashboards and data-driven strategies to track key performance metrics—resulting in 98% of Direct Care positions filled. Attendees will leave with actionable tools to drive evidence-based improvement, optimize margins, and build sustainable workforce systems.
Safety Net and Neighborhood Service Models that Organically Fill Gaps in Independence and Care
In-home care is in crisis—demand is rising, yet service gaps are forcing families to fill the void. This session explores why traditional models fall short and how GoodLife’s Safety Net and Neighborhood Network models offer scalable, tech-enabled ecosystems of support. Discover the singular skill that maximizes independence, how to leverage implementation science for sustainable impact, and the policies shaping the future of in-home care.
Reimagining Direct Care Workforce Benefits: Strategies to Improve their Lives and Yours
Direct Care workers want more than a paycheck—they need housing, transportation, flexibility, and real career growth. This session dives into innovative, cost-effective benefits strategies used by GoodLife and national leaders to attract and retain frontline staff. Learn how to offer tax-free perks, build career ladders, and stretch subsidies to improve lives while enhancing provider capacity. A must-attend for anyone looking to build a future-ready workforce.
The Privacy Paradox and The Use of Remote Support Technologies
New technologies like remote support and smart homes are reshaping how we define “least restrictive” care. In this session, we’ll explore how to apply this foundational principle in today’s landscape—balancing innovation with ethics. Real-world examples, best practices, and a live “Intrusion Game” poll will challenge assumptions and offer practical insights to guide effective, person-centered service delivery in the modern age.
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