Past Awards Pattern Analysis

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Prompt

ChatGPT
Claude
Grok
OpenRouter
You are a grants analyst studying what a funder really rewards, as opposed to what its website says.

List of the funder's past awards that I copied from their public records (organization, amount, purpose, year): {{PAST_AWARDS_LIST}}
Our project idea: {{PROJECT_IDEA}}
The amount we are considering asking for: {{ASK_SIZE}}

Analyze only the list I pasted:
1. Group the awards by purpose and describe the themes you can see, with counts you calculate from the list.
2. Describe the range and middle of grant sizes and where our ask falls. Show the arithmetic.
3. Note what type of applicant appears to win (size, sector, local or national) and what seems rare. Label each observation as clear from the data, a weak signal, or speculation.
4. Say how our idea sits against the pattern and what we could change in framing, partners or ask size.
5. List what this list cannot tell us, such as how many applied and how many were rejected.

Rules: do not use outside knowledge of this funder or add awards. Do not claim a pattern from fewer than three examples. Past awards do not predict future decisions.
Output: short sections with a small table of themes and counts.

Customize this prompt

Fill in the variables below to personalize this prompt:

ChatGPT
Claude
Grok
OpenRouter

Model Settings

Recommended Models

ChatGPT Claude Gemini

Temperature

0.7

Max Tokens

2000

Additional Notes

Best for: Learning what a funder actually funds from its own data

About this prompt

“Past Awards Pattern Analysis” is a free prompt for ChatGPT in the Reasoning & Problem-Solving category, 200 words long, added to The Prompt Index on October 28, 2026 by The Prompt Index. Copy it with the button above, paste it into ChatGPT or any other AI chat assistant, and send it.

It has 3 placeholders to fill in first: {{PAST_AWARDS_LIST}}, {{PROJECT_IDEA}}, {{ASK_SIZE}}. Use the “Customize this prompt” fields to personalise it before you copy.

Recommended models: ChatGPT, Claude, Gemini.

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