The Foundation Perspective — Challenges in Assessing Nonprofit Data Maturity
1.1 The Structural Problem: A Sector Without a Shared Standard
Foundations and institutional funders are under increasing pressure to deploy capital toward organizations that can demonstrate measurable impact. Yet they consistently encounter a fundamental challenge: there is no shared, standardized framework for assessing a nonprofit's data maturity. Each foundation develops its own rubric — or, more commonly, relies on informal judgment — making the evaluation process inconsistent, subjective, and prone to bias that disadvantages smaller, community-based organizations regardless of their actual programmatic effectiveness.
The information asymmetry is stark. Foundations typically evaluate nonprofits through a narrow set of inputs: the Form 990 (a tax filing built for financial compliance, not operational insight), grant applications, impact reports, and third-party profiles on platforms such as Candid or Charity Navigator. None of these instruments were designed to evaluate data governance, analytical capability, or infrastructure readiness. A nonprofit could have extraordinary data practices and score identically to one running entirely on outdated spreadsheets.
1.2 What Foundations Currently Look For
Research from the Center for Effective Philanthropy confirms that over half of foundations formally require outcome information from grantees, and two-fifths require full program evaluations. Yet the sophistication with which that data is expected to be generated, managed, and reported is rarely specified. Foundations receive self-reported data and must infer data quality from the coherence and consistency of what they receive — a poor proxy for underlying infrastructure.
The most commonly used funder tools include Candid's integrated GuideStar and Foundation Directory, which provides financial, programmatic, and leadership profiles; Charity Navigator's ratings across financial health, accountability, and transparency; ProPublica's Nonprofit Explorer for 990 data access; and foundation-specific due diligence questionnaires. As of February 2026, the newly launched Impact Reporting Network — a partnership among Charity Navigator, YourCause from Blackbaud, and True Impact — represents a nascent effort to standardize outcomes reporting infrastructure. This is promising, but adoption is early stage.
1.3 The Evaluation Gap
The core problem for foundations is one of evidence quality, not evidence absence. Nonprofits produce data, but foundations have limited means to assess whether that data is reliable, reproducible, or indicative of organizational capacity. When a nonprofit submits a program dashboard or outcome metric, there is rarely a mechanism to evaluate whether that number comes from a governed data process or a one-time manual calculation in a spreadsheet. The result is that data sophistication is systematically underweighted in funding decisions because it is too difficult to assess at scale.
Foundations serving smaller nonprofits — particularly those with budgets under $1 million — face an additional challenge: these organizations may be doing high-impact work with extremely limited data infrastructure, and existing evaluation tools heavily penalize resource-constrained data environments.
The Nonprofit Perspective — Navigating Funder Data Expectations
2.1 What Nonprofits Are Being Evaluated On
When nonprofits seek grant funding, they are evaluated — explicitly or implicitly — across several dimensions related to data. Funders expect organizations to articulate their theory of change, define measurable outcomes, demonstrate historical performance, and provide data that supports claims about population reach, program effectiveness, and fiscal stewardship.
An increasing number of funders — particularly larger institutional foundations — are also assessing technology infrastructure, asking applicants to describe their CRM system, data storage practices, and internal reporting capabilities. This reflects a sector-level recognition that organizations with stronger data infrastructure tend to demonstrate more consistent, credible outcomes. However, this shift in expectations has not been matched by a corresponding investment in nonprofit capacity building for data.
2.2 Where Nonprofits Currently Stand: A Sobering Landscape
Data Orchard's 2024 State of the Sector Report — the most comprehensive longitudinal benchmark of nonprofit data maturity available, drawing on nearly 12,000 assessments from over 1,000 organizations in 56 countries — provides the clearest sector-wide picture. Using a five-stage framework (Unaware → Emerging → Learning → Developing → Mastering), the majority of nonprofit organizations score in the Learning and early Developing stages. Among the seven domains assessed, Skills consistently scores lowest.
NTEN's 2025 Data Empowerment Report documents continued dependence on spreadsheets (Excel, Google Sheets, and Airtable) as primary data management tools. Many nonprofits operate multiple disconnected systems — a CRM for donor management, a separate spreadsheet for program data, and a third system for financials — with no data integration layer. This fragmentation means that even when good data exists, it cannot be easily synthesized into the cross-functional reports funders expect.
2.3 The Burden of Funder-Driven Data Collection
A significant and underappreciated challenge is that nonprofit data collection is heavily funder-driven rather than organizationally driven. NTEN's research consistently shows that funders have outsized influence on what data organizations collect — particularly demographic data. This creates a paradox: nonprofits build data systems around funder reporting requirements rather than around their own operational intelligence needs, leading to data environments that are optimized for grant compliance and poorly suited for strategic decision-making.
The result is what practitioners call "performative data maturity" — organizations that can produce a credible-looking outcomes report for a grant application but lack the underlying infrastructure to use data for continuous program improvement.
2.4 Who Is Getting It Right — And How
Organizations that demonstrate strong data practices tend to share several characteristics: leadership that treats data as a strategic asset rather than a compliance requirement; a designated staff member or team responsible for data governance; a single integrated system (typically a CRM with reporting functionality) rather than siloed tools; and a documented, repeatable process for collecting, cleaning, and reporting program data.
The organizations performing best on funder data expectations are those that invested in data infrastructure before it was required — not in response to a grant deadline. NTEN's Tech Accelerate cohort data shows that nonprofits participating in structured, supported data capacity-building programs report measurably lower technology risk scores than non-cohort peers, and that improvement compounds over time.
Tools, Market Landscape, and Unanswered Questions
3.1 Tools Nonprofits Use to Demonstrate Data Maturity
Nonprofits have a fragmented toolkit for demonstrating data capability to funders:
3.2 Frameworks Specifically Designed for Nonprofit Data Maturity
3.3 The Core Market Gap
No tool currently serves as a trusted, shared bridge between how nonprofits assess and communicate their data maturity and how foundations evaluate it. The existing ecosystem is bifurcated: nonprofits build data practices internally (or not at all), while funders rely on surface-level signals from compliance-oriented platforms. There is no standardized data maturity credentialing system that a nonprofit can earn and a funder can reference. This gap is the defining inefficiency of the nonprofit data landscape as of mid-2026.
An independent, credentialed data maturity assessment that produces a standardized, verifiable score — accessible to foundations through existing due diligence workflows and meaningful enough to influence funding decisions — does not yet exist at scale in the U.S. market. This represents a significant unmet need.
3.4 Suggested Questions for Continued Research
- Do foundations that actively assess data maturity award larger or longer-period grants?
- How do foundations internally define "data-ready" — is there a working taxonomy?
- What percentage of due diligence checklists include explicit data infrastructure questions?
- Are funder coalitions developing shared data maturity standards?
- What is the average annual cost nonprofits incur fulfilling funder data reporting requirements?
- Do nonprofits that complete a formal assessment report a change in funder conversations?
- How do BIPOC-led and grassroots nonprofits experience funder data expectations differently?
- What is the correlation between Candid Seal level and actual governance practice on the ground?
- What is the adoption rate of the Impact Reporting Network (launched Feb 2026)?
- Are sector-specific data maturity standards emerging (human services, education, housing)?
- What would a nonprofit need to demonstrate to receive a credentialed rating funders trust?
- How are AI-readiness and data maturity intersecting in funder conversations?
- Is funder-driven data collection making the sector's data more or less strategically useful over time?
- What role should capacity-building funders play in subsidizing nonprofit data infrastructure?
- How do government funders approach data maturity assessment differently from private foundations?
About Steward Strategy & Analytics
Steward Strategy & Analytics partners with purpose-driven nonprofits at early stages of data maturity to move them from fragmented, spreadsheet-dependent practices to a governed, analytics-ready foundation — through assessment, governance, purpose-fit analytics products, and a clear path forward.
The Steward Data Maturity Assessment is a 46-question, 7-domain evaluation that produces an independently reviewed credential — the first standardized, verifiable data maturity score designed for nonprofit-to-funder communication.
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