Shaping a
more equitable
data future,together.
At We All Count, we know that you don’t need another checklist of rules based on someone else’s priorities.
We work in data science. We know that what we all need is a path from where we are now, to a future we can make happen together.
Original idea (crossed out): chaos New text: system
We need to stop hopping from problem to problem in our data projects, or worse, letting them pass us without addressing them. Our systematic approach brings calm, confidence and lasting change.
Original idea (crossed out): scared New text: confident
It can feel like any move we make in data – demographics, identity, AI, privacy – could be disastrous. Not only can we stop feeling nervous, with the right approach, we can take the most sensitive parts of our projects and turn those red flags into gold stars.
Original idea (crossed out): constrained New text: empowered
We want to regain a sense of agency and impact in an environment of restrictive laws, funder requirements, academic “best practices”, and stakeholder expectations. With a system based around choices, we can see that we have more opportunities to make a difference than we knew.
Original idea (crossed out): unfair New text: fair
We aren’t trying to hurt the people we care about, but unless we have a way to carry that intention right into the heart of the math and back out into the report, then biases, errors, assumptions, and missed opportunities will chip away at our goals. We need measurable, repeatable improvements to the equity of our projects and we need them now.
Original idea (crossed out): sloppy science New text: robust evidence
Poor data equity is always a result of bad science. When our data involves people, it’s not academic. We can immediately tighten up our projects’ accuracy, specificity, repeatability, reliability, and defensibility.
Original idea (crossed out): alone New text: supported
You don’t need to solve these problems by yourself. As a dedicated partner, we can give you a straightforward understanding of these issues, transform the way you engage with and communicate about them, and build lasting capacity to address them.
The ways we can support you . . .
Data Equity
Framework
Our Data Equity Framework is a practical, seven-step way to make data projects that are accurate, rigorous, efficient, and aligned with your priorities. These tools are concrete ways to turn theory into everyday practice. Use them to design, collect, analyze, interpret, and communicate data projects with integrity.
Delve DeeperCourses
We All Count offers essential live trainings taught exclusively by founder Heather Krause. These courses are in high demand and are the absolute best way to get started working with this framework. We train teams and organizations privately, and are committed to running a limited number of public trainings every year that any individual can attend.
Browse CoursesCoaching
Training gives you tools; coaching helps you build. We All Count partners with you to apply the Data Equity Framework to real problems, projects, or whole organizations. Our proven flow includes four flexible session types, customizing data tools to your needs, delivering real results, and, yes, it’s fun. From quick tool checkups and audits to five-year, multi-grantee partnerships.
See How It WorksResources Hub
Welcome to our Resource Hub, the no-fluff library for doing data equity, not just talking about it. Browse bite-size guides, case studies, and tools you can actually use. Start anywhere and come back often. It’s designed for real projects, real constraints.
Explore ResourcesJoin Our Forum
Join the Data Equity Forum, an open, public space for honest dialogue and concrete help. Ask questions, swap tools, and trade lessons with practitioners across sectors and time zones. Bring your sticky problems, half-built ideas, and wins. Learn together, build together, and keep the momentum going.
Get Involved