Drowning in Data, Thirsty for Insight
The Triple Data Burden
Taylor Hernandez runs a workforce development program in Chicago. Each year, her team helps 200 jobseekers access training and secure stable work. It's deeply relational, people-first work. But lately, Taylor’s time has been devoured by what she calls “the triple upload.”
In one week, she submitted nearly identical demographic data into three different portals—one for a city agency, one for a corporate funder, one for a national foundation. Each used different formats. One rejected CSV files. Another required rephrasing stories into “behavioral change metrics.”
She logged 18 hours of data entry. Received no analysis in return. And while she was hunched over her laptop at 11 PM rewording the same outcome three ways, Maria—a program participant waiting on a job referral—texted again. Still no reply.
“I send data up every quarter,” Taylor says. “But I only hear back if I missed a deadline.”
This is starvation disguised as stewardship.
Starvation Is a Systems Choice
The nonprofit starvation cycle, as outlined by the Bridgespan Group, refers to how funders systematically underinvest in grantee infrastructure, including the very data systems they rely on to measure impact.
“Many funders worry that spending on infrastructure crowds out program dollars, but in fact, it is the backbone of program success.”
—The Nonprofit Starvation Cycle, Bridgespan
This starvation is both material and emotional. It costs time, cognitive labor, relationships. And it reinforces a quiet irony: the more data we demand from nonprofits, the less capacity they have to act on it.
And as AI accelerates the hunger for clean, tagged, “actionable” data, that invisible labor becomes even more expansive—and even more extractive.
When Data Doesn’t Return
At the core of the time tax is a structural asymmetry: data flows upstream. Insight doesn’t come back.
What’s extracted:
Staff time and cognitive labor
Participant stories and survey responses
Community knowledge and emergent solutions
Organizational relationships and program patterns
What’s retained (by others):
Board dashboards and strategy briefs
Vendor profit and proprietary platforms
Sector publications and algorithm training sets
AI tools grantees may never see
The nonprofit becomes both grantee and unpaid data vendor.
One foundation built a $400K dashboard for board review. None of the 19 grantees whose data filled it ever received a copy.
→ Now imagine that dashboard training an AI model used to assess “grant-readiness.” The extraction becomes automated surveillance.
Data Colonialism and Its Cost
In data colonialism, coined by Mejías and Couldry, the metaphor is precise: just as land and labor were once seized, now it's information—collected without consent, governed without reciprocity.
The data economy promises insight. But without redistribution, it delivers only control.
The Center for Effective Philanthropy (CEP) recently found that most foundations believe they deeply understand the communities they serve but most nonprofits disagree.
“Listening is necessary—but not sufficient.”
—Voices That Matter, CEP
This is not simply a knowledge gap. It’s a power imbalance—and a missed opportunity to learn from those closest to the work.
The Spectrum of Change - Extraction to Sovereignty
Traditional Model: Taylor’s Triple Upload
Three systems. Zero alignment. No feedback. Pure extraction.
Grove Foundation: Choose Your Format
At Grove, grantees choose how to report—short narrative, call, or voice memo. The result? More meaningful learning, less performance theater.
“There cannot be any trust without honesty. They ignore the main reason our relationship exists—they have the money we need to operate.”
—Eduardo Esquivel, New Mexico Dream Team
Grove listens. And that, too, is a form of redistribution.
JustFund: Data Belongs to You
JustFund flips the script. One application. Grantee-owned data. The applicant controls who sees it and when.
“We were founded on a simple idea: move money, not applications.”
—JustFund.us
This isn’t optimization. It’s sovereignty.
When Reporting Becomes Risky
For organizations working on immigration, civic engagement, or racial justice, formal reporting isn’t just a burden—it can become a threat.
That spreadsheet you require? It may be subpoenaed.
That portal login? It may create a digital trail a hostile government can exploit.
Some funders are responding with verbal check-ins, encrypted note-taking, and trauma-informed practices. They’re not lowering standards. They’re raising safety.
This isn’t less rigorous—it’s more responsible.
Models That Build Power, Not Databases
Kataly Foundation: Ecosystem Intelligence
Instead of focusing on single grantee outcomes, Kataly funds across ecosystems: policy allies, storytellers, healers, lawyers. They listen for connections, not just completion rates.
→ katalyfoundation.org
Borealis Philanthropy: Participatory Tools
At Borealis’s Communities Transforming Policing Fund, the evaluation process includes directly impacted people—not just as subjects, but as reviewers. Reflection happens together.
→ borealisphilanthropy.org
#OAR: Oral and Alternate Reporting
Led by a values-driven community of grantmakers and nonprofits—including Northern California Grantmakers, Philanthropy New York, and PEAK Grantmaking, #OAR reimagines reporting as a practice rooted in trust, flexibility, and voice.
The Reporting Resource Hub compiles templates, examples, and alternative models that reduce burdens and surface more authentic impact narratives.
“Reporting should be a reflection—not an interrogation.”
— Reporting Resource Hub, reportingresourcehub.org
#OAR helps shift power back to grantees. It’s not just a toolkit—it’s a movement toward dignity in data.
Candid: Demographics via Candid
One form. Shared data. Full control. Organizations can update once and grant access to many—saving time, reclaiming ownership.
→ candid.org/research-and-verify/demographics
These aren’t tools of compliance. They are tools of trust.
The Activation Question
Which system is your foundation upholding?
Taylor’s triple upload?
Grove’s flexible feedback?
JustFund’s data sovereignty?
Most funders say they want equitable outcomes. But outcomes begin in design.
If your process extracts more than it shares, it’s time to ask: who benefits from your systems—and who pays in hours, risk, and silence?
Start Small. Then Go Big.
Test a 30-minute reflection call. Ask what format your grantees prefer. Fund data capacity for insight, not just oversight. Build a dashboard that faces both ways.
You don’t need a new tool. You need a new stance.
Because the time tax doesn’t just delay services. It depletes trust. And if philanthropy’s greatest asset is relationships, then reciprocal data practices are no longer optional—they are foundational.
Closing Reflection
When data doesn’t flow back, it becomes surveillance. When trust is eroded, impact stalls.
But when data serves all partners—not just the ones who cut the checks—it becomes something else entirely: a commons.
Let’s stop mining for metrics.
Let’s start investing in meaning.
Why This Series—and Why Now
This series, The Philanthropic Time Tax, isn’t just about inefficiency. It’s about power, design, and the stories we tell ourselves about accountability. Across the sector, we’ve inherited systems that ask more of nonprofits than we often ask of ourselves—layering process on top of process in ways that slow down the very impact we claim to support.
I’m writing this because the friction is real, and the consequences compound: not just in hours lost, but in trust strained, relationships deferred, and voices left out of the conversation. And because I believe we can do better—not by working faster inside broken systems, but by reimagining the systems themselves.
We’ll explore how we got here, where extraction hides in plain sight, and how reformers are already shifting what’s possible.
This series is an attempt to name what too often goes unspoken: the cost of systems that drain more than they deliver. If we want funding to move at the speed of trust, we have to understand what’s slowing it down.
Next Up: Part 3 — The Human Toll on Impact
Burnout, delayed innovation, and the cost of spending more on reporting than actual service.