communications Beginner Communications Manager Executive Director ✓ Tested 8.27/10

LinkedIn Post - Program Impact

Professional post highlighting program outcomes

The Prompt

The Prompt

Write a LinkedIn post that spotlights a concrete program impact for [ORGANIZATION NAME], optimized for reach from [AUTHOR NAME/TITLE]’s personal account.

The LinkedIn post should:
- Open with a bold hook stat or outcome in the first sentence: [IMPACT STAT] in [TIMEFRAME] (include [BASELINE OR COMPARISON] if relevant).
- Use 3–5 short paragraphs (1–2 sentences each) for easy scanning.
- Write in first-person singular from [AUTHOR NAME/TITLE], briefly tying the win to [PROGRAM NAME] and our mission in [GEOGRAPHY/COMMUNITY].
- Include one human-centered micro-story: [BENEFICIARY FIRST NAME/ROLE – with consent], what changed, and how the program enabled it. Optional: a short, specific quote [QUOTE – optional].
- Provide 1–2 concrete metrics (e.g., percent increase, number served, timeframe); avoid ranges or vague claims.
- Tag collaborators and funders naturally: [PARTNER TAGS] (only those directly involved).
- Add one clear CTA with a strong verb: [CTA] and link if applicable [LINK].
- Include 3–5 relevant hashtags: [HASHTAGS] (mix sector + local + program-specific).
- Suggest an accompanying visual: [VISUAL TYPE] and write a one-sentence alt text for accessibility.
- Keep language plain, strengths-based, and respectful; no confidential details.
- Tone: [TONE] = FORMAL (data-forward, no emojis), WARM (professional, human, 0–1 tasteful emoji max), CASUAL (approachable, plain language, 0–1 emoji).
- Length: 100–180 words; no sign-off line needed.

Quality matters: Be specific (who, where, how many, when). Avoid clichés (“changing lives,” “giving voice to the voiceless,” “at-risk,” “underserved”), jargon, and acronyms without context. Lead with impact, then a brief story, then the CTA. Tagging partners and posting from the ED/leader’s personal account typically earns 5–10x more reach. Ensure consent for names/photos; use people-first, dignity-centered language.

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 communications 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

Rural, volunteer-powered community action nonprofit focused on home energy efficiency and utility-bill relief for low-income households in northern Minnesota.

View scenario details
[ORGANIZATION NAME]:Pine River Community Action
[AUTHOR NAME/TITLE]:Marisol Vega, Executive Director
[IMPACT STAT]:127 homes weatherized
[TIMEFRAME]:July 2024–June 2025
[BASELINE OR COMPARISON]:up from 68 homes the previous year
[PROGRAM NAME]:Warm Homes Collaborative
[GEOGRAPHY/COMMUNITY]:Pine County and the Mille Lacs Lake area, Minnesota
[BENEFICIARY FIRST NAME/ROLE – with consent]:Rosa, grocery clerk and parent of two (shared with consent)
[QUOTE – optional]:My kids can study without blankets on the couch, and my bill is finally predictable.
[PARTNER TAGS]:@Pine County Energy Assistance @NorthStar Credit Union
[CTA]:Book a free home energy visit
[LINK]:https://pineriverca.org/warmhomes
[HASHTAGS]:#EnergyEfficiency #RuralMN #Weatherization #CommunityAction #LowerYourBill
[VISUAL TYPE]:Before-and-after photo of attic insulation with the homeowner and technician on site
[TONE]:CASUAL

127 homes weatherized from July 2024–June 2025—up from 68 the previous year. As Executive Director of Pine River Community Action, I’m proud of what our Warm Homes Collaborative is delivering for families in Pine County and the Mille Lacs Lake area of Minnesota.

Rosa, a grocery clerk and parent of two (shared with consent), saw drafts disappear after attic insulation and air sealing through our program. She told me, “My kids can study without blankets on the couch, and my bill is finally predictable.”

That’s an 87% year-over-year increase, and it means safer, more comfortable homes for 127 households. We got there with on-the-ground coordination with @Pine County Energy Assistance and support from @NorthStar Credit Union.

Book a free home energy visit and see what’s possible in your home: https://pineriverca.org/warmhomes

#EnergyEfficiency #RuralMN #Weatherization #CommunityAction #LowerYourBill

Suggested visual: Before-and-after photo of attic insulation with the homeowner and technician on site. Alt text: Split image shows an under-insulated attic and, after weatherization, a neatly insulated attic, with Rosa and a technician standing by the attic hatch in Pine County, Minnesota.

Generated: Nov 2, 20253723 tokens$0.0496 cost
AI Evaluation Details (Score: 8.8/10)
Reasoning:

This is a strong, publication-ready LinkedIn post that hits nearly all template requirements with specificity and dignity. The tone is appropriately casual yet professional, the impact data is concrete, and the human story is compelling without being exploitative. Minor weaknesses include slightly formal phrasing in places and the 87% calculation appearing mid-post rather than being woven more naturally.

Strengths:
  • Excellent hook with specific numbers and comparison (127 vs 68 homes)
  • Strong people-first language and consent notation for Rosa's story
  • Concrete, verifiable metrics (87% increase, 127 households, specific timeframe)
  • Natural partner tagging that adds credibility without feeling forced
  • Clear, action-oriented CTA with working link structure
  • Avoids all flagged clichés (no 'changing lives,' 'at-risk,' 'underserved')
  • Well-crafted alt text that is descriptive and includes location context
  • Appropriate length at approximately 120 words
  • Quote is specific and humanizing without being overly sentimental
Weaknesses:
  • Opening phrase 'I'm proud of what our Warm Homes Collaborative is delivering' feels slightly stiff for casual tone—could be more conversational
  • The 87% calculation in paragraph 3 creates a small redundancy with the opening comparison—could integrate more smoothly
  • Could benefit from one casual touch (the template allows 0-1 emoji for casual tone, though absence is not wrong)

Mid-size Professional Org

Urban workforce development nonprofit connecting immigrant and neighborhood talent to entry-level tech jobs through employer partnerships in Chicago.

View scenario details
[ORGANIZATION NAME]:Lakefront Workforce Partnership
[AUTHOR NAME/TITLE]:Darius Kim, Director of Employer Partnerships
[IMPACT STAT]:74% of Bridge-to-Tech graduates placed into entry-level IT roles
[TIMEFRAME]:the past 6 months
[BASELINE OR COMPARISON]:up from 52% in 2023
[PROGRAM NAME]:Bridge-to-Tech
[GEOGRAPHY/COMMUNITY]:Chicago’s West Side
[BENEFICIARY FIRST NAME/ROLE – with consent]:Amira, former rideshare driver and newly certified IT support specialist (shared with consent)
[QUOTE – optional]:Someone finally saw my potential—now I debug networks, not just schedules.
[PARTNER TAGS]:@City Colleges of Chicago @TechLift Chicago @Midwest Data Systems
[CTA]:Hire a graduate
[LINK]:https://lwpchicago.org/employers
[HASHTAGS]:#WorkforceDevelopment #ChicagoTech #InclusiveHiring #ITSupport #WestSide
[VISUAL TYPE]:Short 20-second video of Amira troubleshooting a network issue with a trainer in our lab
[TONE]:FORMAL

74% of Bridge-to-Tech graduates were placed into entry-level IT roles in the past 6 months—up from 52% in 2023. 📈

As Director of Employer Partnerships at Lakefront Workforce Partnership, I see this as progress toward our mission on Chicago’s West Side: connecting skilled neighbors to quality tech careers.

Consider Amira, a former rideshare driver and now a newly certified IT support specialist (shared with consent). With lab time, mock tickets, and interview prep delivered with @City Colleges of Chicago and @TechLift Chicago, she moved from overnight shifts to a daytime help desk role: “Someone finally saw my potential—now I debug networks, not just schedules.”

Partners like @Midwest Data Systems help make these outcomes real by interviewing and hiring from our cohorts. Hire a graduate and build your support team: https://lwpchicago.org/employers

#WorkforceDevelopment #ChicagoTech #InclusiveHiring #ITSupport #WestSide

Visual suggestion: Short 20-second video of Amira troubleshooting a network issue with a trainer in our lab.

Alt text: Amira, newly certified in IT support, traces a network cable and restores connectivity alongside a trainer in Lakefront Workforce Partnership’s West Side tech lab.

Generated: Nov 2, 20253984 tokens$0.0534 cost
AI Evaluation Details (Score: 7.4/10)
Reasoning:

The output is comprehensive and well-structured, hitting most requirements effectively. However, it violates the formal tone specification by including an emoji (📈), which the prompt explicitly prohibits for formal tone ('no emojis'). The content is strong but could feel slightly more authentic with first-person voice integration.

Strengths:
  • Excellent opening hook with specific, compelling metrics (74% vs 52% baseline)
  • Strong human-centered story with Amira that includes consent notation and a memorable, specific quote
  • Clear, actionable CTA with link properly integrated
  • Appropriate hashtags mixing sector, local, and program-specific tags
  • Well-crafted alt text that is descriptive and dignity-centered
  • Good paragraph structure for scanning (3-5 short paragraphs)
  • Concrete metrics without vague language or ranges
  • Natural partner tagging that credits collaborators appropriately
Weaknesses:
  • Includes emoji (📈) despite FORMAL tone specification requiring 'no emojis'
  • First-person voice could be stronger—'I see this as progress' is somewhat passive; could be more direct about personal role or perspective
  • Slightly exceeds suggested word count (appears to be ~185-190 words vs 100-180 target)
  • Minor: 'skilled neighbors' is slightly euphemistic; could be more direct while remaining respectful

Large Established Org

National environmental nonprofit leading coastal resilience projects with local fishers and research partners across the Gulf Coast.

View scenario details
[ORGANIZATION NAME]:Gulf Coast Restoration Alliance
[AUTHOR NAME/TITLE]:Elena Morrell, Chief Program Officer
[IMPACT STAT]:2.3 million oysters restored across 42 reef segments
[TIMEFRAME]:the 2024 restoration season
[BASELINE OR COMPARISON]:a 64% increase over 2023
[PROGRAM NAME]:Living Reefs Initiative
[GEOGRAPHY/COMMUNITY]:Plaquemines and St. Bernard Parishes, Louisiana
[BENEFICIARY FIRST NAME/ROLE – with consent]:Dante, third-generation shrimper (shared with consent)
[QUOTE – optional]:When the reefs come back, so do the shrimp.
[PARTNER TAGS]:@Pelican State University Coastal Lab @BayPower Foundation @Louisiana Department of Wildlife and Fisheries
[CTA]:Read the impact brief
[LINK]:https://gulfcoastrestoration.org/2024-reefs-impact
[HASHTAGS]:#CoastalRestoration #Louisiana #Fisheries #OysterReefs #ClimateResilience
[VISUAL TYPE]:Aerial photo of newly installed oyster reef structures with local fishing boats nearby
[TONE]:WARM

2.3 million oysters restored across 42 reef segments in the 2024 restoration season—a 64% increase over 2023.

As Chief Program Officer at Gulf Coast Restoration Alliance, I’m proud that our Living Reefs Initiative is rebuilding habitat and protecting working shorelines in Plaquemines and St. Bernard Parishes, Louisiana.

With consent, I’m sharing Dante’s story, a third-generation shrimper from Shell Beach: last fall he steered past our new reefs and saw shrimp popping again along a shoreline that had gone quiet. “When the reefs come back, so do the shrimp,” he told me—and early runs gave his crew two extra days of clean, local catch.

This progress reflects steady fieldwork, water-quality monitoring, and community leadership with @Pelican State University Coastal Lab, funding from @BayPower Foundation, and guidance from @Louisiana Department of Wildlife and Fisheries.

Read the impact brief: https://gulfcoastrestoration.org/2024-reefs-impact #CoastalRestoration #Louisiana #Fisheries #OysterReefs #ClimateResilience

Suggested visual: Aerial photo of newly installed oyster reef structures with local fishing boats nearby. Alt text: Aerial view of crescent-shaped oyster reef modules buffering the Louisiana shoreline, with two small shrimp boats working just offshore under clear skies.

Generated: Nov 2, 20253819 tokens$0.0509 cost
AI Evaluation Details (Score: 8.8/10)
Reasoning:

This is a strong, polished LinkedIn post that hits nearly all requirements with specificity and professionalism. The warm tone is appropriate, the micro-story about Dante is compelling and concrete, and the metrics are clear. Minor weaknesses include slightly formal phrasing in places and the word count running slightly long at ~185 words.

Strengths:
  • Excellent hook with specific, compelling metrics (2.3M oysters, 42 reef segments, 64% increase)
  • Strong human-centered story with Dante that includes concrete outcome ('two extra days of clean, local catch') and natural quote integration
  • Avoids all flagged clichés and jargon; uses people-first, dignity-centered language ('third-generation shrimper' vs 'at-risk fisherman')
  • Natural partner tagging that flows within the narrative rather than feeling tacked on
  • Excellent alt text that is descriptive and specific
  • Clear CTA with direct link placement
  • Appropriate hashtag mix of sector, geographic, and program-specific terms
Weaknesses:
  • Word count slightly exceeds the 180-word maximum (approximately 185 words)
  • Some phrasing leans slightly formal for 'warm' tone ('This progress reflects steady fieldwork' could be more conversational)
  • Could benefit from one emoji to fully match 'warm' tone specification (0-1 tasteful emoji max)

Test Summary: Generated Nov 2, 20253 scenarios • 9 total outputs • Average quality score: 8.27/10 • Total validation cost: $0.1754