We All Count logo

Foundations

of Data Equity

decorative background of a stone wall

Foundations is our flagship, full-journey training for people who want a repeatable, reliable, and accurate data practice. Across a series of live sessions, participants learn how to use the seven-step Data Equity Framework to design, resource, analyze, communicate, and evaluate data projects in close alignment with your priorities instead of habit.

This isn’t just theory, inspiration, or “food for thought.”

It’s a structured process for improving and aligning each step of the data process including funding pressures, category design, analytical framing, gaps, denominators, interpretation, storytelling.

If you’re tired of shipping dashboards no one trusts, using metrics you can’t defend, or  reinventing the wheel, Foundations offers a shared language, workflow, and toolbox that brings alignment, clarity, and relief. It’s practical, collaborative, and built for the real world, messy datasets, tight timelines, office politics and all.

Foundations walks you step-by-step through the full Data Equity Framework, with every idea tied to concrete tools, examples, and exercises you can use right away. You’ll learn to clarify whose perspectives guide the work, craft questions, and set shared expectations across the team. You’ll continue to learn tools to help with designing studies, evaluations, models, dashboards, and research questions that align with your priorities and contexts.

You’ll dig into practical data decisions: selecting datasets, designing categories, assessing demographic structures, handling multi-select data, and checking whether evidence reflects lived reality. You’ll also see how seemingly small analytical choices such as reference points, denominators, subgroup visibility, harmonization, modeling assumptions shape fairness and accuracy.

And we finish by turning results into meaning responsibly, avoiding deficit framing, false certainty, and misleading visuals. Throughout, you get real examples, hands-on practice, and downloadable workbooks.

Foundations is built for people who learn best by watching real projects unfold. In live, online sessions, we walk through story-rich examples, common pitfalls, and real case studies from organizations facing familiar data challenges. You’ll see the Data Equity Framework in action: how a funding choice reshapes a project, how a category redesign fixes a long-standing reporting issue, how a denominator swap shifts policy, or how a small interpretation tweak prevents backlash.

We pause for reflection, discussion, and questions so you can connect ideas to your own work and pressure-test concepts. You’ll try out select tools, but the heart of the course is learning through demonstrations and concrete walkthroughs.

You’ll leave with practical templates, annotated examples, and a clear sense of how to spot and improve equity-related choices in your own projects.

Course Details

Cost:

$495 USD

Format:

Live Zoom sessions with optional participation, plus a private online learning space where you’ll find all recordings, worksheets, and tools.

Length:

Two 3-hour sessions, total time 6 hours.

Prerequisite:

The Data Equity Primer is a prerequisite for Foundations

Upcoming Dates:

  • Tuesday May 5th & Tuesday, May 12th
    12 – 3pm ET
  • Tuesday June 16th & Wednesday June 17th
    12-3pm ET
Register Here

FAQs

Who are these courses for?

Anyone who works with, collects, funds, requests, interprets, or communicates data—analysts, researchers, program staff, executives, policymakers, communicators, evaluators, and curious humans.

Do I need a statistics or technical background?

Nope. We teach in plain language, with clear examples. Data pros will go deep; non-technical folks will still follow comfortably.

What’s the learning format?

Live online sessions on Zoom, paired with digital materials, examples, decision tools, and optional community discussion spaces.

Are sessions recorded?

The Foundations and Advancing courses are recorded and recordings are available to registered participants, so you can rewatch or catch up if life happens. The Data Equity Primer is not recorded.

What’s the difference between Primer, Foundations, and Advancing?

Primer = shared starting point.
Foundations = full framework + core tools.
Advancing = mastery, nuance, portfolio-ready practice.

Is Foundations required before taking Advancing?

Yes. Advancing assumes familiarity with the Framework and its core tools.

What materials do participants receive?

Workbooks, templates, decision logs, tool guides, examples, case studies, and access to recordings (the Primer is not recorded).

Will I earn a certificate?

Yes, Foundations and Advancing include a completion certificate. Advancing certifies completion of the full We All Count training series. There is no certificate for the Primer.

Can my organization book a private training?

Absolutely. We customize content, scenarios, timelines, and support. Just contact us.

Do you offer group discounts?

Yes. We offer 15% discount for teams of 5 or more.

What if we’re early in our equity journey (or nervous)?

Great, these courses meet you where you are, without judgment, shame, or jargon.

What if we already have strong data systems?

Excellent, these tools make them more intentional, transparent, and resilient. Many advanced teams use them to reduce risk and increase credibility.