App prototype · Disruptive Women in Health Care

00 · Onboarding

Personalization from the start.

Before a member sees any content, she declares her focus areas — the health domains where her expertise and advocacy intersect. This isn't demographic targeting; it's professional signal. The app uses these selections to calibrate every feed, filter every notification, and surface the network connections that matter.

Focus area selection — Maternal Health, Mental Health, Reproductive Health, Chronic Disease, and more
Professional context — Not demographics, but declared expertise and advocacy priorities
System-wide calibration — Every subsequent feed and notification respects these choices

Voice feed — focus-aware personalization

01 · Voice — Feed

A voice with signal.

The Voice tab begins as a curated general stream, then sharpens to each member’s declared focus areas. Sourcing indicators render before the copy — the credibility of a post is legible at a glance, before you’ve read a word.

General → focus-aware — the same feed, recalibrated to what she’s declared
Credential-first — author name, specialty, and affiliation as prominent as the headline
Sourced at a glance — evidence attachment renders before the share button

01 · Voice — Compose

From observation to post.

Open any post and a contextual layer surfaces who in her network holds adjacent views, which DW research backs the claim, and which active campaign it feeds. Compose gives her one screen to translate clinical observation into a published position.

Contextual layer — network adjacency, sourced evidence, and connected campaign in one view
Dictation mode — spoken clinical observation transcribed and matched to suggested citations
From practice — a tag signaling the source is embodied expertise, not a paper

Gather — event detail (congressional hearing)

Gather — event detail (virtual advocacy briefing)

02 · Gather — Events

Where momentum collects.

The Gather feed surfaces Capitol Hill briefings, town halls, panels, and listening sessions — filterable by topic, date, or proximity. Three distinct event types show how the same card structure adapts across a professional convening, a congressional hearing, and a virtual advocacy briefing.

Event discovery — filtered by topic, proximity, date, event type
Multiple formats — panels, hearings, and virtual briefings share one consistent card
Context, not just a calendar entry — the virtual briefing shows where a bill stands and what letters still short of a target
RSVP in one tap — no context switch to a calendar or external registration

02 · Gather — Depth

Before, during, after.

Host mode maps the attending members as a network — who’s coming, their focus areas, their recent posts on the topic. After the session, AI structures the key policy positions into a briefing note. A continuity card resurfaces prior engagement the next time this topic comes around.

Host view — attending members as a network map, not a headcount
Post-event briefing — AI structures key positions; searchable, shareable, indexed to the event
Continuity — you attended the April briefing on this bill; the vote is Thursday

03 · Find

Your network, made legible.

Find makes the membership searchable by focus area, location, credential, and affiliation — not just name. Each profile is a working record: published positions, legislative engagement, event appearances. Four profiles show how the depth scales across different member specialties.

Multi-facet search — focus area · credential · location · name, composable and live
Member depth — posts, campaigns, event appearances in one profile
Network breadth — maternal health OB-GYN to oncology researcher to epidemiology PhD to nonprofit executive director, same profile structure

Listen — AI structured summary with claim verification

04 · Listen

Insight structured, not lost.

Listen puts members inside live audio sessions and congressional testimony feeds. AI captures themes and key claims in real time and delivers a structured briefing note the moment the session ends — minimizable, so the member stays present in the room.

Ambient capture — minimize to a persistent pill; return to the summary when the session ends
Claim verification — tap any point to expand the named source passage; flag it unverified before it leaves your hands
Output routing — send the summary to Gather, Voice, Move, or all three in one step

05 · Move

From conviction to action.

Move tracks legislation filtered to each member’s focus areas. Every bill has a plain-language summary, an AI-sourced evidence brief with claim-level citations, and a direct participation path. Two bill cards show the same structure across a comment period and a Senate testimony — then a push notification closes the loop when the bill advances.

Bill tracking — filtered to member focus areas, updated in real time
Evidence brief — AI-sourced claims and cited studies; one tap to expand the passage
Two participation paths — Doula Certification Parity (comment period) and Medicaid Rollback (Senate testimony)
Bill advance alert — she knows first; one-tap action from the notification

06 · Impact

Progress, owned.

The Impact dashboard shows each member what she has actually moved — comment periods responded to, bills tracked, members mobilized. Her sourcing record and specific written action in each campaign sit alongside the collective outcomes. Advocacy has always been measured by organizers and funders; this returns that read to the individual member.

Process outcomes — comment periods, bills tracked, members mobilized; not follower counts
Campaign record — her specific action alongside collective results (letters, marchers, testimonies)
Collective impact — what the coordinated network submitted together, attributed back to her contribution

Built for the advocate who never stops moving.