Nava | LinkedIn (original) (raw)

Software Development

Washington, District of Columbia 30,968 followers

Building simple, effective, and accessible government services for all. Want to contribute? We're hiring!

About us

Nava is a consultancy and public benefit corporation working to make government services simple, effective, and accessible to all. Nava emerged from the effort to rebuild HealthCare.gov after its troubled launch, and exists to address some of the most complex challenges in the public sector. We’re thinkers and designers of civic technology. We work holistically across engineering, research, design, and operations to proactively envision the services of a better future. We build with empathy and inclusion, and as we come from many backgrounds and countries ourselves, we seek and value different perspectives.

Industry

Software Development

Company size

201-500 employees

Headquarters

Washington, District of Columbia

Type

Privately Held

Founded

2015

Specialties

Reimagining critical government services

Locations

Employees at Nava

Updates

Nava is #hiring! We are looking for Software Engineers to join our engineering team. Interested in working with fellow Nava engineers to design, review, and build well-crafted software? Learn more about the roles and apply today: Senior Software Engineer (Ruby): https://lnkd.in/gStARjTP
Nava reposted this
Qualitative feedback is key when shaping user-centered products. Combining those insights with quantitative research can help teams conduct more valuable research that ultimately informs product improvements. Our latest toolkit offers small, iterative experiments as a practical way for teams to quickly gather quantitative data on a product update without needing advanced data science skills. Nava’s Carmen Rosa López and Eryn Sobing provide an incremental framework for designers, product managers, and engineers to make evidence-based updates that focus on impact, manage risk, and optimize resources. This resource can help delivery teams: ✅ Reduce risks by testing incremental updates ✅ Align on goals and processes for product updates ✅ Build team momentum with quick, achievable wins ✅ Build stakeholder trust by delivering evidence-based results By breaking down challenges into manageable experiments, teams can make targeted, data-backed improvements that address users’ needs. Read the full toolkit here: https://lnkd.in/gfzbRB54
Improving products with small, incremental experiments navapbc.com
The new year is off to a quick start, and we’re excited to hit the ground running! If you'd like to stay up to date on upcoming events, jobs listings, announcements, and more, sign up for our monthly newsletter: https://lnkd.in/gwfzpgVGNot sure? Here’s a sample of a prior newsletter we sent out: https://lnkd.in/giE2nfWs
We are excited to share that Nava Labs, along with two partner organizations, received a $3.6 million grant from the Bill & Melinda Gates Foundation to pilot #AI-powered tools that support benefit navigators: professionals who help people navigate and apply for #benefits. Through experimentation and user research with navigators, experts, and families, our team identified an assistive chatbot for benefit navigators as a promising solution to pilot. With the Gates Foundation grant, we’ll be able to test our generative-AI-enabled chatbot in real scenarios. We’ll partner with Imagine LA, a nonprofit in Los Angeles, for the first pilot. Imagine LA operates a comprehensive digital “Benefit Navigator” tool to help low-income people and families assess their eligibility for public benefits and tax credits. Our pilot will test and help enhance the assistive chatbot with navigators from multiple social service agencies that use Imagine LA’s “Benefit Navigator” tool. For the second pilot, we will focus on developing and implementing other promising tools we’ve tested. This includes document processing support, referral generation, and case note summarization with next steps. We aim to assess the feasibility for widespread adoption and adaptability of AI-powered tools across different organizations. Read more: https://lnkd.in/e_yZHpRtLearn more about this project: https://lnkd.in/e_gcAV_s
Nava Labs awarded grant to pilot tools powered by generative AI navapbc.com
Nava reposted this

FedHealth Program/Portfolio Director at Nava
1mo
Always good to see old friends and represent Nava at today’s CMS Industry Day. As we continue partnering with CMS to modernize critical government services, I’m motivated by our shared commitment to making these systems more effective and accessible.
We are excited to share that Nava Labs, along with two partner organizations, received a $3.6 million grant from the Bill & Melinda Gates Foundation to pilot #AI-powered tools that support benefit navigators: professionals who help people navigate and apply for #benefits. Through experimentation and user research with navigators, experts, and families, our team identified an assistive chatbot for benefit navigators as a promising solution to pilot. With the Gates Foundation grant, we’ll be able to test our generative-AI-enabled chatbot in real scenarios. We’ll partner with Imagine LA, a nonprofit in Los Angeles, for the first pilot. Imagine LA operates a comprehensive digital “Benefit Navigator” tool to help low-income people and families assess their eligibility for public benefits and tax credits. Our pilot will test and help enhance the assistive chatbot with navigators from multiple social service agencies that use Imagine LA’s “Benefit Navigator” tool. For the second pilot, we will focus on developing and implementing other promising tools we’ve tested. This includes document processing support, referral generation, and case note summarization with next steps. We aim to assess the feasibility for widespread adoption and adaptability of AI-powered tools across different organizations. Read more: https://lnkd.in/e_yZHpRtLearn more about this project: https://lnkd.in/e_gcAV_s
Nava Labs awarded grant to pilot tools powered by generative AI navapbc.com
Check out our case study: “Delivering a human-centered unemployment insurance portal for New Jersey” that was featured in Nava’s 2024 Public Benefit Report: https://lnkd.in/eXg4XUvwFor background, the New Jersey Department of Labor & Workforce Development (NJDOL) tapped Nava to help build a modern, flexible, and resilient end-to-end unemployment insurance (UI) system. Our work included helping New Jersey build a self-service claimant portal that reduces barriers to accessing benefits and an application programming interface (API) that connects the claimant-facing portal to the staff-facing back end. Read our full 2024 Public Benefit Report: https://lnkd.in/gZ2BnJDH
Public Benefit Report 2024 | Nava navapbc.com
When an #AI chatbot sounds confident in itself, how do you know it’s right? How do you know it’s not making things up? The key is in providing direct citations from sources—but it can be tricky to get generative AI to provide both a helpful summarized answer and a quality source citation. We’ve been working on this problem as part of a project where we’re building an AI chatbot to help caseworkers and other staff who help people access and enroll in #PublicBenefits programs. These staff need to quickly look up complex program requirements while working with clients in the moment. Our recent #CaseStudy dives step-by-step into our approach to addressing this challenge—iterating through 3 approaches to how we structure source data. Through experimentation, we developed a hybrid “Goldilocks” approach that seeks to deliver an accurate and relevant summarized answer while also giving readable source quotes with just the right amount of information. This chatbot, which we’re piloting as part of a philanthropically-funded project, aims to reduce training barriers and administrative burdens so staff can focus on what matters most: helping people access the benefits they need. Curious about the technical details? Check out the full case study, by Greg Jordan-Detamore, Kevin Boyer, and Ryan Hansz, here: https://lnkd.in/edmxvW7E #CivicTech #GovTech #LLM #Chunking
Are you trying to determine whether #AI is an appropriate solution for your #publicsector challenge? In case you missed it, Nava published a checklist of items that may help your team determine whether AI-powered tools are appropriate to meet your needs:
It’s #ToolkitTuesday, and this week we’re introducing a new checklist that will help your team determine whether or not #AI is an appropriate solution to address certain public sector challenges. At Nava, our team recognizes that AI (of any type) is not the right solution to every problem, but there are steps you can take to help you rigorously and critically assess whether or not AI should be considered for your specific use case. We recommend taking a 4-phased approach to help you make this decision: Phase 1: Define the problem. Phase 2: Determine whether AI capabilities are appropriate. Phase 3: Assess your data, infrastructure, and operational readiness. Phase 4: Evaluate risks and create mitigation plans. The toolkit dives deeper into each phase if you’d like to learn more: https://lnkd.in/gJTmktSHKudos to Alicia Benish, Kevin Boyer, Ryan Hansz, Diana Griffin, D. "Yoom" Lâm, and Martelle Esposito, MS, MPH for pulling together this helpful checklist!
How to determine whether AI is an appropriate solution for public sector challenges navapbc.com

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Nava | LinkedIn (original) (raw)

Software Development

Washington, District of Columbia 30,968 followers

Building simple, effective, and accessible government services for all. Want to contribute? We're hiring!

About us

Locations

Employees at Nava

Updates

Join now to see what you are missing

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