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CauseComp

ChatGPT plugin

Nonprofit pay benchmarks

View in ChatGPT directory

CauseComp brings nonprofit compensation benchmarks into ChatGPT. Ask in plain language - for example, what an executive director typically earns at a $5M human-services organization in Ohio - and get benchmark pay ranges for the role, organization size, sector and location, with the data vintage and method attached.

Executive benchmarks are built from IRS Form 990 filings (Schedule J and Part VII). Workforce benchmarks for broad-based roles such as nurses, accountants and program managers draw on BLS wage data. You can also look up what a specific organization reported on its Form 990, assemble a set of comparable organizations for a role, read what a role does, and produce a board-ready compensation report.

Boards, compensation committees and HR leaders use CauseComp when setting or reviewing pay. CauseComp provides comparability data for informational purposes and does not provide legal or tax advice. Data like this supports — but does not by itself establish — a board's rebuttable presumption of reasonableness under IRC §4958 (intermediate sanctions), which also requires advance approval by an independent board body and contemporaneous documentation.

Sign in with your CauseComp account to connect. Every tool is read-only.

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Example prompts

  • “What does an executive director earn at a $5M human services nonprofit in Oregon?”
  • “Show the comparables set for a CFO at a $20M education nonprofit in California.”
  • “What's the pay range for a registered nurse at a $10M health nonprofit in Ohio?”

Skills

  • get-started

    How to use CauseComp to benchmark nonprofit executive and workforce pay, build a comparables set, and produce a board report.

Categories
Made by
RB Consulting Services, LLC · Website
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On Install
Availability
Available
Version
1.0.1
Keywords
nonprofit, compensation, salary, Form 990, benchmarks
Created
October 12, 2026
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