August 6, 2021
Organizations like Code for America, SaverLife, Alluma, Propel, and others are using tech for social good—and demonstrating how using person-centered approaches can ensure a policy meets people’s immediate financial needs
April 29, 2021
If we truly want to make meaningful improvements to social service programs and systems, we must understand the experience of those using them. And that starts with equitably valuing their insights.
March 8, 2021
Government is essential to fostering equity and making improvements in people's lives. But it plays a key role in maintaining racial inequity. This is the paradox we must confront and overcome if we truly want to build a fair safety net system.
January 4, 2021
Despite the challenges presented by the COVID-19 pandemic, we have continued to drive changes that are important to realize equity—the promise of our work for the communities we serve. Here’s a snapshot of some of this work.
October 8, 2020
We're joining forces with One Degree to create equitable, accessible public benefits and social safety net system that takes advantage of all that technology has to offer.
August 14, 2020
These three key takeaways can make your online eligibility portals more human-centered.
July 2, 2020
The COVID19 crisis has exposed many tech & operational gaps within the social safety net infrastructure. Here are two checklists to help agencies build better, more human-centered public support systems.
June 29, 2020
To help your agency create better experiences for those navigating consumer-facing technology, we have created two lists of best practices.
June 18, 2020
We have to start by considering a person’s whole experience: who they are, what they’ve been through, and how they navigate the world. That’s why our approach to people-first design embodies the three Es: Equity, Experience, and Empathy.
May 1, 2020
Now more than ever, states and counties need to come together to make eligibility systems more efficient and create more cohesive eligibility rules when it comes to making determinations across programs.