AS FUNDER ← edit slice ·
the field for →

ADA Complaint Resolution & Tracking

01 ADA Complaint Resolution & Tracking · 11 edit slice
7
orgs
11
activities
1
strategies
AZ
epicenter
the opening take
This slice touches 7 organizations and 11 activities — LURA TURNER HOMES, COPE COMMUNITY SERVICES, AVENAL COMMUNITY HEALTH CENTER, Autism Society of Greater Phoenix and others. Activity concentrates in Arizona (71%) and California (29%). The field's most common shared approach is "Safe Digital Engagement", run by 1 orgs.
LURA TURNER HOMES and COPE COMMUNITY SERVICES hold roughly a third of all activity — know those first.
pull-quote · for funders
who to look at first

shortlist

Ranked by activity breadth, method diversity, and network reach across the slice. Attach a memo to this report and this list re-ranks around your intent.

where this slice is thin

gap signals

Concrete structural gaps — method mix, geographic concentration, coalition density, funder diversity. Evidence is cited from the slice's own numbers.

where the field lives · works

geography

Orange headquarters dots are sized by how many grantees are based in the state. Green circles mark real locations these orgs say they serve — from city-level populations in this slice's impact_map_populations data. Toggle layers at the bottom right.

regional breakdown · hq density
Arizona 71% · 5 orgs
California 29% · 2 orgs
who's here

organizations in this field · 7

sort by
direct service advocacy research capacity building
where the money comes from

funders already active in this field

Funders named as a funding source on these orgs' own materials. The count is the number of orgs in this slice that cite them — higher means a funder with demonstrable commitment to the field.

City of Phoenix Community Block Grant 1
Government
Civitan Foundation 1
Foundation
First Interstate Foundation 1
Foundation
HHS 1
Government
Kiwanis Club of Carefree 1
Corporate
Robert Wood Johnson Foundation 1
Government
how the field thinks

strategies in this slice

Theories of action extracted from the orgs in this slice. The count is how many orgs cite each one — a strategy run by many orgs in common is a through-line; one cited by a single org is still surfaced so the reader can gauge the full spread.

where strategy meets practice

strategies × activity types

How each shared strategy breaks down across the four activity types the orgs running it actually do.

direct service
advocacy
research
capacity building
Safe Digital Engagement
1
who works with whom

named partnerships · coalitions · networks

Entities these orgs explicitly call out as partners, coalition members, or networks. Unlike the strategy-sharing graph below (which is inferred from shared approaches), these are relationships the orgs claim on their own sites.

AARP Arizona Partner
shared by 1 org
AIDS/Southwest Center Partner
shared by 1 org
AZCentral Partner
shared by 1 org
Adult Protection Services Hotline Partner
shared by 1 org
Alcoholics Anonymous Partner
shared by 1 org
Alzheimer’s Helpline Partner
shared by 1 org
Ambassador Church School Class Partner
shared by 1 org
American Cancer Society Partner
shared by 1 org
American Cancer Society Arizona Partner
shared by 1 org
American Diabetes Association Partner
shared by 1 org
American Heart Association Partner
shared by 1 org
Area Agency on Aging Partner
shared by 1 org
Arizona Caregiver Coalition Partner
shared by 1 org
Arizona Center for Disability Law Partner
shared by 1 org
Arizona Center for the Blind and Visually Impaired Partner
shared by 1 org
Arizona Department of Economic Security Government
shared by 1 org
where the field connects

strategy-sharing network

Inferred from shared theories of action: each line connects an org to a strategy it runs. Organizations that share many strategies cluster through the same nodes — funders can spot the field's structural bridges.

scale of the field

rollup metrics

Aggregated scale claims from orgs in the slice. Treat as a floor, not a ceiling — many orgs don't publish these numbers, so totals underrepresent real reach. Extreme outliers (often unit-mismatches upstream) are filtered out.

1.7M
People served
from 2 orgs
1K
Staff
from 2 orgs