Work
Overview
Michigan Justice For All Commission
Florida Community Innovation
Mintify partnered with Florida Community Innovation to study how case managers and outreach workers find, verify, and trust information on the Florida Resource Map — a civic-tech platform combining a RAG pipeline, social-media monitoring, and NLP to surface real-time information on food pantries, shelters, job assistance, and healthcare.
FCI wanted to know whether AI could help with two persistent problems: keeping listings current and matching people to resources that fit a specific need — a pet-friendly shelter, LGBTQ+ youth services, language-specific support.
I directed the research team through three semi-structured interviews, 30–60 minutes each, with Florida-based nonprofit staff in outreach and case-management roles. Responses were affinity-mapped into five themes:
- Geographic and accessibility barriers. Commutes of 45 minutes or longer, and distance filtering that returned results 25 miles out for a three-mile search
- Information relevance and uncertainty. Mission statements where practical details should be, loose or misleading categories, and vague descriptions that discourage anyone from calling
- The time cost of searching. Hours spent locating a single resource for a single family, compounded by hold times, phone trees, and verification done by hand
- Trust that a listing is real and current. Providers re-check entries themselves, because they cannot assume an old one still stands
- A cautious appetite for AI. Genuine demand for AI-driven efficiency, conditional on the interface staying simple and the underlying data staying reliable
In their own words:
I put in biking distance up to 3 miles, and I'm still getting more than 30 results — some of them are literally 25 miles away from me.
They're putting on their whole story and who their board is … when you're in the day-to-day function of case management, you don't care who's on their board. You want to get … food.
I'm spending three to four hours trying to find one resource for this family, versus just being able to upload and say, "This is what I'm looking for."
Those findings became five recommendations, each answering a theme rather than a hunch:
- Synonym-aware search. Recognize and group the different words people use for the same service, so finding a resource does not depend on guessing the term the directory happens to use
- Primary and secondary tags. Structured tagging with a clear hierarchy, so a category cannot send a case manager down a path that wastes their afternoon
- A guided search path. Simple prompts instead of an open-ended query box, for anyone who is unsure how to begin or has too little time to iterate on keywords
- Multilingual support. Named directly by participants describing the Haitian and Brazilian communities they serve
- Relevance-based ranking. Surface what is genuinely nearby, currently available, and matched to the stated need, rather than everything that matched a string
The team then built those recommendations into a set of conceptual wireframes for the FRM, delivered to FCI with the final report.

Flexible Search

Progress and Outcome States

Resource Detail

Color System
Skills