/ Synthesizing data
Collected huge amounts of information and nuances in conversations with patients and providers.
religioneducationfamily structuretech savinesshousingcultureconditionsgeographyageinsurancegenderchildcareincome levellanguageurban or rural
Many factors impact mental healthcare experiences.
/ First concept sketchStakeholder Feedback
“It feels cluttered and overwhelming. I get lost in all the graphics and labels.”
State Employee for Health Department
State Employee for Health Department
“The labels don't resonate. Not sure what we're trying to represent here.”
Senior Mental Health Patient
Senior Mental Health Patient
We envisioned a virtual, interactive space where users could chat with characters based on real interview data.
Meet Maria,
a 68 year old retiree living in New Mexico.
Ask her about her experiences getting mental health care in a rural town.
/ Transcriptions and notes formed the foundation for AI-generated dialogue.
Cursor allowed us to build an interactive digital environment for exploring these conversations.
/ The design solution
/ Our New Workflow
- 01
- Develop the character's background and profile
- 02
- Create a visual respresentation
- 03
- Develop dialogue and pair with generated voice
- 04
- Integrate everything into live site
/ Learnings
Crafting qualitative research with AI generation enables more first hand storytelling.
The experience allows decision-makers to connect with research insights and drive better policy.
