Real impact data, real outcomes.
We don’t deal in dashboards for their own sake. Here’s what changed for mission-driven organizations once their data started working for them — from a county-wide view of homelessness to a tool that helped a whole region plan for funding uncertainty.
Helping a county see its progress toward ending homelessness
Olmsted County’s initiative to end homelessness brought many agencies to the same table — shelters, housing programs, case management — but their data was trapped in spreadsheet exports. No one could see community-level progress in one place, which made it hard to answer the most basic question: are we actually moving the needle?
A public-facing data dashboard that integrates information across agencies into one shared view — tracking community-level progress while keeping sensitive individual-level data safely separated from anything public. Built around the by-name-list and functional-zero approach the initiative already uses, so it spoke the team’s language from day one.
For the first time, partners and the public can see collective progress in one place — turning a pile of separate spreadsheets into a shared picture of how the community is doing.
Helping a region brace for federal funding changes
Major federal funding changes were coming down from above, but individual hunger-relief organizations had no way to estimate what those changes might mean for their own operations. Each org knew its own budget — but not how to translate announced policy shifts into a realistic picture of potential exposure.
Rather than producing 100+ separate reports, we built one calculator. It takes an organization’s own funding data and the announced federal changes and estimates potential impact — letting any org in the region see its own exposure in under five minutes. A planning aid for an uncertain moment, not a crystal ball: it turns vague dread into numbers a board can actually work with.
One self-serve tool gave an entire region the same starting point for hard conversations — replacing what would have been months of one-off analysis with a shared way to plan ahead.
What these projects have in common.
Plain language, not jargon
We build for the whole team — not just the data person. If your staff can’t use it, we haven’t finished the job.
Your tools, your workflow
We meet you where you are — the systems you already run, the way your team already works — rather than forcing a rebuild.
Local context, built in
We know SE Minnesota’s funders, collective-impact work, and reporting expectations — because we work here too.