Hearing former Governors and Chiefs of Staff describe the experience of starting a new term, and the high-stakes decisions they have to make very quickly, is nerve-wracking. It’s also exciting for the people who know what’s possible through digitally-enabled government delivery. We’ve been bringing together those people and their insights to support the incoming teams […]
On Thursday, October 29, we’re hosting the National Tech to Gov Virtual Hiring Forum + Job Fair to connect you with state Medicaid, health and human services, and digital service teams that are hiring now. In addition to meeting agency representatives and learning more about how you can make an impact now, you’ll also hear […]
Apply to join Tech Talent Project’s free 2027 Medicaid Delivery Innovation Initiative, helping 6 states improve eligibility systems and build tech teams.
Medicaid is a lifeline for millions and yet is operationally complex for states to administer. Frequently changing eligibility rules, outreach and communication challenges, aging systems, processing backlogs, and overwhelmed call centers all create significant operational hurdles. And more change is coming: the 2025 reconciliation law (commonly referred to as H.R.1) introduces new Medicaid work requirements […]
This past June, I was sitting at my computer, looking at a tiny Slack notification and screaming with joy. Hawaii’s Med-QUEST division, the Medicaid program that covers just under 400,000 people, had just approved a customer experience team modeled on the product operating model for government: an engineer, a product manager, a designer, and a […]
Government is most open to change in two moments: crisis and transition. The second is a crisis you can plan for. And it’s an underused moment to bring best practices to American government.
Bad user experience isn’t just frustrating, it’s expensive. But organizational silos in government can make those costs harder to notice.
Hawaii’s Med-QUEST Medicaid team is building a Customer Experience Office with a mandate to fix real problems using a test-and-learn approach.