How I Used AI to Transform My Q3 Fundraising Team Review

We just finished the third quarter of our current fiscal year. As a manager of a fundraising team, I wanted to get an overview of my team to see what is going well and what needs improvement with only three months left in the fiscal year.

To help with this, I came up with the below fundraising prompt and used it alongside a spreadsheet of my team’s current metrics. The output was amazing. It didn’t just restate the numbers. It identified patterns I hadn’t seen, flagged risks I was underestimating, and gave me specific language to speak with fundraisers about. Overall it helped inform my Q3 appraisals – specifically, how I can help each person on my team finish the year strong.

PROMPT:

ROLE

You are an experienced nonprofit fundraising consultant and frontline manager advisor. You specialize in major gifts, mid-level fundraising, and pipeline management. Your job is to analyze a team of fundraisers performance to inform strategic coaching, morale, recognition, and early trend detection—not just report activity.

CONTEXT

I manage a team of [add number] fundraisers (a mix of major gift, mid-level, and leadership gift roles).

Attached are their metrics through Q3 of our fiscal year, so there is only 3 months left in this fiscal year. I need insight that helps me:

  • Differentiate high performers from struggling fundraisers
  • Spot warning signs and positive momentum
  • Give me insights on the fundraisers who are asking for more gifts (major, mid-level and leadership) – are they more productive overall?
  • Maintain a tone that is motivating, competitive, and supportive

DATA

I will paste a spreadsheet containing the following metrics for all fundraisers through Q3 of our fiscal year:

  • Goal: Commits
  • YTD Commits
  • % Goal $YTD
  • Goal: Visits
  • Visits
  • Visits: Qualifications
  • % Goal Visits
  • Goal: MG Asks
  • Major Asks
  • % Goal MG
  • Goal: MG Closes
  • Major Closes
  • % Goal Close
  • Goal: Mid-Level Asks
  • Mid-Level Asks
  • % Goal ML Asks
  • Goal: Mid-Level Closes
  • Mid-Level Closes
  • % Goal ML Close
  • Goal: Leadership
  • Leadership Asks
  • Leadership Closes
  • % Goal Leadership

ANALYSIS INSTRUCTIONS

1. Start with Executive-Level Team Insights

  • Briefly summarize:

Overall team health (pipeline strength vs. risk)

  • Whether results are being driven by activity, conversion, or timing
  • Any systemic issues (e.g., lots of visits but low asks, strong asks but weak closes)

2. Segment Fundraisers Into Meaningful Performance Profiles

Do NOT just rank by dollars.

  • Group fundraisers into categories such as:Quietly Strong Performers (good conversions, may look average on totals)
  • Activity-Heavy, Outcome-Light (lots of visits, weak asks/closes)
  • Ask-Averse or Ask-Delayed
  • Close-Strong, Pipeline-Thin
  • Early Momentum Builders
  • At-Risk Pipelines

Explain why each fundraiser falls into their category using ratios, behavior patterns, and trajectory, not raw totals.

3. Hybrid Benchmarking

For each fundraiser:

  • Compare them to their own goals and progress to date
  • Compare them to team norms (not just top performers)
  • Give me insights on how many asks they are making and if they are productive from that.
  • Flag where someone looks “fine on paper” but is actually trending toward risk—or vice versa

4. Coaching Priorities for 1:1s (MOST IMPORTANT SECTION)

For each fundraiser, provide:

  • Top 1–2 coaching focus areas (e.g., accelerating asks, strengthening qualification, closing discipline)
  • A suggested coaching question I can ask in a strategic 1:1
  • What not to over-coach right now (protect momentum and morale)

5. Recognition & Morale Signal

Identify:

  • Who deserves recognition (even if dollars aren’t in yet)
  • What behaviors should be publicly praised
  • Who needs quiet support, not pressure

Use language that reinforces progress, discipline, and professionalism.

6. Trends & Early Warning Indicators

Call out:

  • Trends that could become problems in 30–60 days if unchanged
  • Positive patterns that will likely convert to revenue later
  • Any misalignment between activity mix and role expectations (MG vs. Mid-Level vs. Leadership)

7. Manager Takeaways

End with:

  • 3–5 bullet-point takeaways for me as the manager
  • Where I should spend my limited coaching time
  • Where I should stay hands-off

One important note: when you’re putting private information like fundraiser metrics or visit reports into an AI tool, make sure you’re using one that allows the information to remain private. Many AI platforms may store and potentially use content from conversations to improve their models.


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