fundraising Intermediate Development Director Executive Director Program Manager ✓ Tested 8.42/10

Grant Needs Statement

Compelling problem statement demonstrating community need

The Prompt

The Prompt

Draft a grant needs statement for [ORGANIZATION NAME] to include in a proposal to [FUNDER NAME] focused on [PROGRAM/ISSUE AREA] in [GEOGRAPHY] serving [PRIMARY POPULATION].

The needs statement should:
- Be 300-450 words and written in [TONE: FORMAL (precise, evidence-forward) / WARM (human-centered, plain language) / NEUTRAL (concise, objective)].
- Follow this order: (1) Local hook (stat or brief client vignette) tied to [GEOGRAPHY], (2) Magnitude and trend of the problem (local first, then state/national for context), (3) Who is most affected and equity disparities, (4) Root causes and contributing systems, (5) Gap between current state and desired state, including service capacity shortfall, (6) Consequences of inaction, (7) Alignment to [FUNDER NAME] priorities, (8) Why [ORGANIZATION NAME] is positioned to address it; close with a 1–2 sentence bridge to the proposed solution.
- Quantify with 3–5 credible, recent data points (preferably ≤3–5 years old). Cite in-text (Source, Year) and include a brief source list with URLs.
- Prioritize local sources: [LOCAL AGENCY/HEALTH DEPT/SCHOOL DISTRICT], [CITY/COUNTY DATA PORTAL], [UNITED WAY/COMMUNITY FOUNDATION], then reputable national sources for context: [CENSUS/CDC/ED/DOE/Annie E. Casey/Urban Institute].
- Include [OPTIONAL: 1 brief anonymized participant quote] to humanize the data without sensationalizing.
- Explicitly connect the articulated need to [FUNDER PRIORITIES] and relevant funder geographic or demographic focus.
- Differentiate from peers with 1–2 concise points (e.g., reach into underserved neighborhoods, bilingual staff, partnerships, evidence-based model).
- Use plain language (8th–10th grade readability), avoid jargon and acronyms unless defined, and maintain urgency without desperation.
- If local data are unavailable, flag “Data needed: [insert]” and recommend likely sources to verify.

Aim for specificity, balance story with data, and use asset-based language (avoid blaming communities, clichés like “at-risk,” or sweeping claims). Do not overpromise or imply exclusivity of your solution; the goal is a credible case for solvable need that aligns with the funder’s mandate.

How to Customize

  1. Replace all [BRACKETED] fields with your specific information
  2. Adjust tone and length as needed for your audience
  3. Review and personalize before using

Pro Tips

  1. Test this prompt with your preferred AI tool before using in production
  2. Always review AI output for accuracy and appropriateness
  3. Customize outputs to match your organization’s voice and brand

(See other prompts in the fundraising category)

Example Outputs

Compare scenarios: We tested this prompt with 3 different nonprofit contexts. Each scenario shows outputs from GPT-5, Claude, and Gemini. Select a model above each scenario to compare.

Small Community Org

Neighborhood-based renters’ rights organization in urban South Los Angeles serving immigrant and low-income families; volunteer-driven with a small staff.

View scenario details
[ORGANIZATION NAME]:South LA Renters Resource Center
[FUNDER NAME]:Southland Community Foundation – Housing Stability Fund
[PROGRAM/ISSUE AREA]:Eviction prevention, rental assistance navigation, and tenant rights education
[GEOGRAPHY]:South Los Angeles, California (ZIP codes 90011, 90003, 90044)
[PRIMARY POPULATION]:Low-income Black and Latino renter households, including immigrant families and single mothers
[TONE: FORMAL (precise, evidence-forward) / WARM (human-centered, plain language) / NEUTRAL (concise, objective)]:WARM
[LOCAL AGENCY/HEALTH DEPT/SCHOOL DISTRICT]:Los Angeles Housing Department (LAHD) and LA County Department of Consumer and Business Affairs – Rent Stabilization
[CITY/COUNTY DATA PORTAL]:DataLA (City of Los Angeles Open Data): https://data.lacity.org / LA County Open Data: https://data.lacounty.gov
[UNITED WAY/COMMUNITY FOUNDATION]:United Way of Greater Los Angeles
[CENSUS/CDC/ED/DOE/Annie E. Casey/Urban Institute]:U.S. Census Bureau (ACS); Urban Institute
[OPTIONAL: 1 brief anonymized participant quote]:When my rent went up $400 in one month, the hotline helped me understand my rights and find a plan so my kids could stay in the same school.
[FUNDER PRIORITIES]:Preventing homelessness and displacement in Los Angeles County; upstream eviction prevention; equitable support for BIPOC and immigrant renters; funding restricted to LA County communities with high housing instability.
[insert]:Latest 2024 eviction filing rates and lockout counts for South LA ZIP codes; verify via LA Superior Court eviction filings and LAHD quarterly reports.

On a recent Tuesday in 90011, a single mother called our hotline in tears: “When my rent went up $400 in one month, the hotline helped me understand my rights and find a plan so my kids could stay in the same school.” Her story mirrors what many South Los Angeles renters face in 90011, 90003, and 90044—fast-rising rents, confusing rules, and the fear of losing home and community.

In these three ZIP codes, roughly three in four households are renters (DataLA, 2021). Countywide, more than half of renter households pay over 30% of income on rent and about a third pay over 50%, straining budgets and making any rent hike or job disruption a crisis (Harvard JCHS using ACS, 2024). Asking rents in the Los Angeles area have climbed sharply since 2020, outpacing wage gains for low-income workers (Zillow, 2024). Eviction filings have also rebounded since pandemic protections ended, with neighborhood-level data in South LA needed to target prevention. Data needed: Latest 2024 eviction filing rates and lockout counts for South LA ZIP codes; verify via LA Superior Court eviction filings and LAHD quarterly reports.

The burden is not equal. Low-income Black and Latino renters, immigrant families, and single mothers are most affected by rent burdens and eviction risk. Black renters face disproportionate eviction filings nationally (Urban Institute, 2022), and locally Black Angelenos are vastly overrepresented among people experiencing homelessness—evidence of what happens when prevention fails (LAHSA, 2024).

Root causes include the gap between rents and earnings, limited supply of affordable units even under the City’s Rent Stabilization Ordinance (about 640,000 RSO units citywide) (LAHD, 2023), language and digital barriers to navigating aid, and uneven access to legal help.

Today, the demand for early, practical support in South LA exceeds available capacity. Too many tenants learn about rights or rental assistance only after an eviction notice. The desired state is simple: timely, neighborhood-based help that resolves rent shortfalls early, stops illegal lockouts, and equips tenants with clear, culturally responsive information.

If we do nothing, families will be displaced, children will change schools mid-year, and more neighbors will enter the homelessness system—outcomes that are far more costly to reverse than to prevent.

This need directly aligns with the Southland Community Foundation – Housing Stability Fund: preventing homelessness and displacement in Los Angeles County through upstream eviction prevention and equitable support for BIPOC and immigrant renters in high-instability communities like 90011, 90003, and 90044.

South LA Renters Resource Center is ready to act—with bilingual staff rooted in the neighborhood, trusted partnerships, and an evidence-based model that blends eviction prevention triage, rental assistance navigation, and tenant rights education. With your support, we will scale timely, local help so South LA families can stay housed and stable.

Sources - DataLA (City of Los Angeles Open Data), ACS 2017–2021 profiles by ZIP: https://data.lacity.org - Harvard Joint Center for Housing Studies, America’s Rental Housing (ACS-based), 2024: https://www.jchs.harvard.edu - Zillow Observed Rent Index (Los Angeles Metro), 2024: https://www.zillow.com/research/data/ - LAHSA, 2024 Greater Los Angeles Homeless Count: https://www.lahsa.org - Los Angeles Housing Department, Rent Stabilization Ordinance overview, 2023: https://housing.lacity.org - Urban Institute, Eviction disparities research, 2022: https://www.urban.org

Generated: Nov 2, 20256720 tokens$0.0932 cost
AI Evaluation Details (Score: 8.6/10)
Reasoning:

This is a strong, professional needs statement that successfully balances warmth with credibility. It follows the requested structure meticulously, integrates data smoothly, and makes a compelling case. The writing is accessible yet substantive, and the funder alignment is explicit and strategic.

Strengths:
  • Excellent structural adherence—follows all 8 required elements in order, from local hook through bridge to solution
  • Warm, human-centered tone achieved without sacrificing rigor; the opening quote integration is natural and effective
  • Strong data integration with 5+ credible citations (DataLA, Harvard JCHS, Zillow, Urban Institute, LAHSA, LAHD) appropriately balanced between local and national sources
  • Transparent handling of data gaps—explicitly flags missing eviction filing data and recommends verification sources, demonstrating intellectual honesty
  • Clear, specific funder alignment paragraph that directly echoes the foundation's stated priorities and geographic focus
  • Asset-based language throughout; avoids deficit framing, jargon like 'at-risk,' and community-blaming
  • Effective differentiation with concrete organizational strengths (bilingual staff, neighborhood roots, evidence-based model)
  • Appropriate readability level with plain language; technical terms like RSO are contextualized
  • Credible source list with working URLs and proper attribution format
Weaknesses:
  • Minor opening awkwardness—the quote appears before the narrative context, then is referenced again ('Her story mirrors...'), creating slight redundancy; could flow better with quote positioned after the setup
  • Word count appears to exceed the 300-450 target (approximately 475 words), though the content justifies the length
  • The phrase 'ready to act' in the penultimate paragraph edges slightly toward promotional language, though not egregiously
  • Could strengthen the 'consequences of inaction' section with one quantitative anchor (e.g., cost comparison of prevention vs. emergency shelter)

Mid-Size Professional Org

Regional health nonprofit delivering evidence-based maternal health programs across rural Eastern Kentucky; 35 staff with clinical and community health expertise.

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[ORGANIZATION NAME]:Appalachian Birth & Health Partnership
[FUNDER NAME]:Bluegrass Health Plan Foundation
[PROGRAM/ISSUE AREA]:Community doula care, perinatal peer support, and care navigation
[GEOGRAPHY]:Eastern Kentucky (Letcher, Harlan, and Perry Counties)
[PRIMARY POPULATION]:Pregnant and postpartum people in rural counties, especially Medicaid-enrolled families and those impacted by substance use disorder
[TONE: FORMAL (precise, evidence-forward) / WARM (human-centered, plain language) / NEUTRAL (concise, objective)]:FORMAL
[LOCAL AGENCY/HEALTH DEPT/SCHOOL DISTRICT]:Kentucky Department for Public Health (Maternal & Child Health) and Letcher County Health Department
[CITY/COUNTY DATA PORTAL]:Kentucky Health Facts (KHIP): https://kentuckyhealthfacts.org / Kentucky Open Data: https://data.ky.gov
[UNITED WAY/COMMUNITY FOUNDATION]:Foundation for Appalachian Kentucky
[CENSUS/CDC/ED/DOE/Annie E. Casey/Urban Institute]:CDC (Pregnancy Mortality Surveillance System); U.S. Census Bureau (ACS); Annie E. Casey Foundation (KIDS COUNT)
[OPTIONAL: 1 brief anonymized participant quote]:My doula helped me ask questions I didn’t know I could, and for the first time I felt heard in the delivery room.
[FUNDER PRIORITIES]:Maternal and infant health; rural health equity; reduction of preventable maternal morbidity and mortality; focus on Appalachian Kentucky counties within the health plan’s service area.
[insert]:2023–2024 severe maternal morbidity rates and OB/GYN provider density for Letcher, Harlan, and Perry Counties; verify via KDPH Vital Statistics and Kentucky Board of Medical Licensure data.

In Hazard, a first-time mother from Letcher County shared, “My doula helped me ask questions I didn’t know I could, and for the first time I felt heard in the delivery room.” Her experience reflects a broader reality in Letcher, Harlan, and Perry Counties: skilled support and clear care navigation are often the difference between a safe birth and a crisis.

The challenge is urgent and measurable. Nearly one in three residents in these counties lives below the poverty line, elevating barriers to prenatal care and postpartum recovery (U.S. Census Bureau, 2022). More than half of Kentucky births are financed by Medicaid, underscoring the need for services that are accessible to low-income families (Kentucky Open Data, 2023). Kentucky’s Maternal Mortality Review Committee reports that the vast majority of pregnancy-related deaths are preventable (KDPH MMRC, 2023). At the same time, parts of Eastern Kentucky face limited access to obstetric providers and facilities, with counties designated as having low maternity care access (March of Dimes, 2023). Nationally, maternal mortality rose to 32.9 deaths per 100,000 live births in 2021 before easing in 2022, keeping attention on prevention and early support (CDC, 2024).

Those most affected include pregnant and postpartum people in rural communities—especially Medicaid-enrolled families and individuals impacted by substance use disorder—who face long travel distances, fluctuating insurance coverage, limited transportation, and stigma in care settings. Contributing factors include provider shortages, fragmented referrals between prenatal, behavioral health, and social services, and insufficient nonclinical supports that build trust, continuity, and self-advocacy.

Across these counties, there is a clear gap between need and capacity. Community doula care, perinatal peer support, and care navigation remain thin and are not consistently integrated with health departments, OB practices, or recovery programs. Data needed: 2023–2024 severe maternal morbidity rates and OB/GYN provider density for Letcher, Harlan, and Perry Counties; verify via KDPH Vital Statistics and Kentucky Board of Medical Licensure data.

Without action, preventable complications, preterm births, and family stress will persist, increasing costs for Medicaid and deepening inequities. With action, we can advance maternal and infant health, rural health equity, and the reduction of preventable maternal morbidity and mortality in Appalachian Kentucky counties within the health plan’s service area.

Appalachian Birth & Health Partnership (ABHP) is positioned to respond. We are locally rooted, partner with county health departments and regional hospitals, and deploy an evidence-based community doula and perinatal peer-recovery model that reaches families in hard-to-reach hollers and recovery housing. Our navigators connect families to timely prenatal, behavioral health, and social supports.

With Bluegrass Health Plan Foundation’s support, ABHP will expand community doula care, peer support, and coordinated navigation so more Eastern Kentucky families experience respectful, safe, and connected care from pregnancy through the first year postpartum.

Sources - Kentucky Department for Public Health, Maternal Mortality Review Committee (MMRC), 2023: https://chfs.ky.gov/agencies/dph/dmch/Pages/maternal-mortality.aspx - Kentucky Open Data Portal, Maternal and Child Health indicators, 2023: https://data.ky.gov - U.S. Census Bureau, American Community Survey 1-year estimates, 2022: https://data.census.gov - March of Dimes, 2023 Maternity Care Deserts Report: https://www.marchofdimes.org/research/maternity-care-deserts-report.aspx - Centers for Disease Control and Prevention, Pregnancy Mortality Surveillance System/NCHS, 2024: https://www.cdc.gov/reproductivehealth/maternal-mortality/

Generated: Nov 2, 20254641 tokens$0.0619 cost
AI Evaluation Details (Score: 8.4/10)
Reasoning:

This is a strong, professional needs statement that effectively balances formal tone with evidence-based argumentation. It follows the structural requirements closely, integrates data appropriately, and makes a compelling case. Minor weaknesses include slightly generic language in places and the data gap flag could be better positioned.

Strengths:
  • Excellent formal tone with precise, evidence-forward language appropriate for a professional health foundation proposal
  • Strong structural adherence—opens with participant quote tied to geography, progresses logically through magnitude, disparities, root causes, gaps, consequences, and organizational positioning
  • Effective use of 5 credible, recent data points with proper in-text citations and complete source list with URLs
  • Clear alignment to funder priorities explicitly stated in paragraph 6, directly echoing the foundation's language on maternal/infant health and rural equity
  • Good differentiation through specific organizational assets: local roots, county health department partnerships, evidence-based doula model, reach into 'hard-to-reach hollers and recovery housing'
  • Appropriate use of the participant quote to humanize without sensationalizing, and proper flagging of missing local data with specific verification sources
  • Plain language maintained despite formal tone; avoids jargon and clichés like 'at-risk'; uses asset-based framing
  • Word count appropriate at approximately 420 words
Weaknesses:
  • The data gap flag interrupts narrative flow in paragraph 5; would be better placed as a footnote or integrated more smoothly into the capacity discussion
  • Paragraph 6 ('Without action...With action...') feels slightly formulaic and could be more specific about consequences (e.g., quantify potential cost increases or cite specific complications)
  • The bridge sentence to the solution is adequate but somewhat generic—could be more compelling by previewing a specific program element or outcome target
  • Minor redundancy: 'preventable maternal morbidity and mortality' appears verbatim from funder priorities; could paraphrase slightly to show deeper engagement

Large Established Org

Statewide environmental health nonprofit with a long track record in climate adaptation; operates multi-county heat resilience programs with government and utility partners.

View scenario details
[ORGANIZATION NAME]:Desert Resilience Alliance
[FUNDER NAME]:SunWest Energy Foundation
[PROGRAM/ISSUE AREA]:Extreme heat resilience: home cooling support, neighborhood outreach, and emergency response coordination
[GEOGRAPHY]:Phoenix–Mesa–Scottsdale Metro, Maricopa County, Arizona
[PRIMARY POPULATION]:Low-income older adults (65+) living alone in heat-vulnerable neighborhoods (Maryvale, South Phoenix, parts of Mesa)
[TONE: FORMAL (precise, evidence-forward) / WARM (human-centered, plain language) / NEUTRAL (concise, objective)]:NEUTRAL
[LOCAL AGENCY/HEALTH DEPT/SCHOOL DISTRICT]:Maricopa County Department of Public Health (MCDPH) and City of Phoenix Office of Heat Response & Mitigation
[CITY/COUNTY DATA PORTAL]:City of Phoenix Open Data: https://phoenixopendata.com / Maricopa County Open Data: https://data.maricopa.gov
[UNITED WAY/COMMUNITY FOUNDATION]:Valley of the Sun United Way
[CENSUS/CDC/ED/DOE/Annie E. Casey/Urban Institute]:CDC (Heat-Related Illness Surveillance; Social Vulnerability Index); U.S. Census Bureau (ACS); Urban Institute
[OPTIONAL: 1 brief anonymized participant quote]:I keep the air off to save on the bill, but by afternoon my apartment feels like an oven and I start getting dizzy.
[FUNDER PRIORITIES]:Energy affordability and customer resilience; protecting vulnerable seniors during extreme weather; alignment with Central Arizona service area and high heat-risk neighborhoods.
[insert]:2024 block-group heat-related ER visit rates and out-of-hospital death data for Maryvale and South Phoenix; verify via MCDPH Heat Illness Surveillance and Arizona Department of Health Services hospital discharge datasets.

On a 112-degree afternoon in Maryvale, a 74-year-old neighbor explained, “I keep the air off to save on the bill, but by afternoon my apartment feels like an oven and I start getting dizzy.” For many older adults living alone across Phoenix–Mesa–Scottsdale, this is a daily calculation with life-or-death implications.

Maricopa County confirmed 645 heat-associated deaths in 2023—a 52% increase from 2022 and the highest on record (MCDPH, 2023). Phoenix also experienced 31 consecutive days at or above 110°F in July 2023, underscoring a trend toward longer, more intense heat waves (City of Phoenix Office of Heat Response & Mitigation, 2024). Locally, the City’s Heat Vulnerability Index identifies Maryvale and South Phoenix as “very high” risk areas due to a combination of built-environment and socioeconomic factors (City of Phoenix OHRM via Phoenix Open Data, 2023). In Maricopa County, about 26% of adults 65+ live alone, increasing isolation and risk during extreme heat (U.S. Census Bureau ACS, 2022).

Low-income older adults are disproportionately affected. Many live in older buildings with inefficient cooling and face high energy burdens: low-income households in Maricopa County spend roughly 8–9% of income on energy—well above common affordability thresholds (DOE LEAD Tool, 2024). Language access, mobility limits, and fixed incomes compound risk in Maryvale, South Phoenix, and parts of Mesa.

Root causes span systems: aging housing stock and limited weatherization; energy affordability challenges; limited tree canopy and heat-retaining infrastructure; and fragmented awareness of available assistance. The current safety net—cooling centers, seasonal outreach, and emergency response—cannot substitute for safe, affordable home cooling for homebound seniors. Wait times for home repairs and lack of coordinated, neighborhood-level case finding leave many residents unseen until a crisis.

If unaddressed, we can expect rising emergency calls, preventable hospitalizations and deaths, and deeper utility arrears and shutoffs during peak heat, straining households and the grid.

This need aligns with SunWest Energy Foundation priorities: advancing energy affordability and customer resilience, protecting vulnerable seniors during extreme weather, and focusing on Central Arizona’s highest heat-risk neighborhoods. Desert Resilience Alliance is positioned to help: we operate in Maryvale, South Phoenix, and Mesa with bilingual community health workers, formal partnerships with the City’s Office of Heat Response & Mitigation and MCDPH, and a data-informed model that links home cooling support to rapid emergency coordination. Unlike peers, we combine door-to-door senior outreach with same-week minor cooling fixes and direct referral pathways to utility and city programs.

With SunWest’s support, we will expand home cooling support, neighborhood outreach, and emergency response coordination to protect low-income older adults living alone in heat-vulnerable Maricopa County neighborhoods.

Data needed: 2024 block-group heat-related ER visit rates and out-of-hospital death data for Maryvale and South Phoenix; verify via MCDPH Heat Illness Surveillance and Arizona Department of Health Services hospital discharge datasets.

Sources: - Maricopa County Department of Public Health (Heat Surveillance): https://www.maricopa.gov/1858/Heat-Surveillance - City of Phoenix Office of Heat Response & Mitigation: https://www.phoenix.gov/heat and Heat Vulnerability (Phoenix Open Data): https://phoenixopendata.com - U.S. Census Bureau, American Community Survey 1-year (2022): https://data.census.gov - U.S. DOE LEAD Tool (2024), Energy Burden Estimates: https://www.energy.gov/eere/slsc/maps/lead-tool

Generated: Nov 2, 20255649 tokens$0.0770 cost
AI Evaluation Details (Score: 9/10)
Reasoning:

This is an exceptionally strong needs statement that demonstrates mastery of the template. It hits all structural requirements, balances data with human impact, maintains neutral tone throughout, and provides credible, recent citations. The writing is crisp, specific to place and population, and would require minimal editing for actual submission.

Strengths:
  • Perfect structural adherence: follows all 8 required sections in order, from local hook through bridge to solution, with smooth transitions
  • Strong data integration: 5 credible, recent citations (MCDPH 2023, Phoenix OHRM 2024, Phoenix Open Data 2023, Census ACS 2022, DOE LEAD 2024) with proper in-text format and complete source list with working URLs
  • Excellent geographic and demographic specificity: names exact neighborhoods (Maryvale, South Phoenix, parts of Mesa), uses local heat vulnerability data, and quantifies the target population precisely
  • Effective funder alignment: explicitly connects to all three SunWest priorities (energy affordability, vulnerable seniors, Central Arizona heat-risk neighborhoods) with clear language
  • Strong differentiation: two concrete points (bilingual CHWs with door-to-door reach; partnerships with City OHRM and MCDPH) that distinguish from peers without overpromising
  • Appropriate use of participant quote: humanizes without sensationalizing, placed effectively as local hook
  • Asset-based language throughout: avoids deficit framing, uses 'low-income older adults' rather than 'at-risk,' focuses on systems gaps not individual blame
  • Proper flagging of data gaps: includes the requested 'Data needed' note with specific recommended sources
  • Readability: clear, jargon-free prose at appropriate grade level; defines technical terms contextually (e.g., 'energy burden' explained with percentage)
Weaknesses:
  • Minor: The phrase 'a 74-year-old neighbor' in the opening could be slightly more specific to organizational context (e.g., 'a participant' or 'a Maryvale resident') to avoid ambiguity about relationship
  • The consequences section (paragraph 6) is brief—could strengthen with one more specific consequence (e.g., strain on family caregivers or economic impact), though it meets minimum requirements
  • Very minor citation formatting inconsistency: most sources cite year in parentheses, but 'DOE LEAD Tool, 2024' uses comma—though both are acceptable, consistency would be ideal

Test Summary: Generated Nov 2, 20253 scenarios • 9 total outputs • Average quality score: 8.42/10 • Total validation cost: $0.2791