Most Grant Programs Are Designed to Exhaust Applicants. That Is Not an Accident.
There is something that program officers say quietly at conferences, that evaluation consultants mention in debriefs, and that applicants who have been through the process more than once know viscerally but rarely put in writing: the complexity of most grant and award applications is not a quality filter. It is a participation filter. And the two are not the same thing.
Say it plainly: many grant programs — across philanthropy, government, and corporate giving — are structurally designed in ways that systematically advantage organizations with administrative capacity over organizations with the best work. The form is the barrier. The deadline is the barrier. The requirement to produce audited financials, letters of support, logic models, and 47-page narrative responses is the barrier. And the organizations that clear those barriers most reliably are not necessarily the ones doing the most important work. They are the ones that can afford a grants manager.
This is widely understood inside the sector. It is almost never discussed in public.
Why the Complexity Exists
It would be convenient to explain this as intentional gatekeeping. The reality is more complicated, and more damning.
Most application complexity is the sediment of institutional risk aversion. Each new requirement was added by someone trying to solve a specific problem — fraud prevention, due diligence, accountability to funders. Taken one at a time, each requirement is defensible. Taken together, they constitute a system that has never been audited for whether its cumulative burden produces better grantees or just more paperwork.
The United States federal grants system now runs on more than 200 separate data collection requirements across major agencies. The average federal grant application takes between 80 and 200 staff hours to complete, according to research from Grants Managers Network. The administrative cost of applying for funding that an organization may not receive is borne entirely by the applicant — disproportionately by smaller, community-rooted organizations with less capacity to absorb the loss.
Philanthropic and corporate programs are not exempt from this critique. They have simply added different layers of bureaucracy and called them “alignment processes.”
What the Participation Filter Actually Selects For
When complexity functions as a barrier, it does not filter for quality. It filters for a specific kind of organizational infrastructure that correlates strongly with existing institutional power.
Large nonprofits with development teams. Universities with sponsored research offices. Organizations in urban centers with access to grant writing consultants. These entities are more likely to complete complex applications — not because their work is better, but because they have systems designed to comply with administrative demands.
The organizations most likely to be filtered out are often the ones that funders claim to want most: emerging leaders, community-based operators, organizations in geographies underserved by traditional philanthropy, and founders from communities that have historically lacked access to institutional capital.
This is not a hypothesis. It is visible in award and grant recipient lists across the sector. Audit your own program’s last three years of awards. Look at the geographic distribution. Look at organizational budget size. Look at whether first-time applicants make it past the initial screening at the same rate as repeat applicants who have learned your system. The pattern will be recognizable.
The Defense That Does Not Hold
The counterargument, when this topic surfaces, usually sounds like this: “If an organization cannot manage a complex application process, how can we trust them to manage a grant?”
This argument conflates administrative compliance with programmatic competence. They are related skills — but they are not the same skill, and treating them as equivalent has real costs.
A community health worker who has reduced maternal mortality rates in a rural district through sustained, unglamorous relationship-building is not a less credible grantee because she does not know what a logic model is. A grassroots organizer who has moved legislation through a local council through three years of coalition work is not less fundable because her organization has three full-time staff and no dedicated grants manager.
The capacity to perform grant administration is a learnable skill. It can be taught, resourced, and supported. The work that makes organizations worth funding is often harder to replicate.
When we use application complexity as a proxy for organizational credibility, we are not exercising due diligence. We are outsourcing our evaluation judgment to a form.
What Responsible Programs Are Starting to Do Differently
The good news is that a small but growing number of programs have started to take this seriously — not as a DEI initiative, but as a core question of program quality and mission fidelity.
Some have moved to two-stage applications: a lightweight letter of inquiry that screens for genuine alignment before asking for full documentation. Others have introduced application office hours, co-design processes for application requirements, or plain-language rewrites of technical instructions. A few have experimented with invited applicant pools that skip open competition entirely, choosing instead to proactively identify organizations doing relevant work.
Each of these interventions shares the same underlying logic: the application process is itself a design problem. It has been designed, usually incrementally and without intentional review, and it can be redesigned.
Technology has a legitimate role here — not as a replacement for judgment, but as a way to remove administrative friction from the process without removing rigor from the evaluation. AI-assisted application tools can help applicants understand requirements, reduce duplication across questions, and surface relevant information from existing organizational documents rather than requiring it to be re-entered from scratch. Automated eligibility screening can reduce the hours spent on applications that should have been redirected earlier. Structured rubrics supported by data can create more consistency in how reviewers apply criteria.
None of this replaces the evaluative work of the program. It removes the part of the process that never should have been evaluation work in the first place.
The Conversation Worth Having
The sector will not fix this problem by talking around it. The uncomfortable acknowledgment that needs to happen — at the board level, in program strategy conversations, in funder collaboratives — is this: if your application process has not been audited for cumulative burden in the last three years, you do not actually know whether it is selecting for your mission or selecting against it.
That audit does not require consultants or a multi-year redesign process. It requires two things: an honest look at who is completing your applications versus who is starting them, and a willingness to ask whether the requirements you are imposing are genuinely predictive of grantee success or are simply what the process has always required.
Programs that are serious about reaching the organizations they claim to want to fund will have to make decisions about complexity that are uncomfortable. Removing requirements means accepting more uncertainty in the review process. Simplifying forms means trusting evaluators to exercise more judgment, not less. Redesigning for access means questioning decisions that have institutional history behind them.
That discomfort is exactly where the work is.
If you are a program manager, awards director, or foundation officer who is ready to audit your own process — not just optimize it — start by asking what your application is actually measuring. The answer will be instructive.
AwardScience is built for programs that want rigorous evaluation without unnecessary friction. If that conversation is one you want to have: awards.kyand.co
