hub - Excel formula before and after examples with AI
Excel formula before and after examples with AI
Use before-and-after examples to debug formulas, simplify logic, and document spreadsheet decisions. This page is built for analysts, finance teams, spreadsheet owners who need to improve formula quality with concrete examples.
Where this workflow helps
Common friction
- broken formulas are hard to explain
- nested logic hides assumptions
- small formula edits create regressions
- teams lack examples for recurring fixes
Repeatable process
- Paste the current formula and expected result.
- Provide one row that works and one row that fails.
- Ask for a revised formula and explanation.
- Document why the new version is safer.
Reusable prompts
Open prompt packCompare this broken Excel formula with the expected output and suggest a safer version.
Create a before-and-after explanation for this formula rewrite.
List the assumptions this formula makes about blanks, dates, and duplicates.
Tools to compare first
Full comparison| Tool | Best for | Use it when | Link |
|---|---|---|---|
| ChatGPT | Drafting formulas, prompts, replies, and first-pass workflows | A general-purpose assistant that works well for quick draft generation and iterative prompting. | Visit |
| Microsoft Copilot | Excel and Microsoft 365 workflows | Best matched to teams already living in Excel, Word, Outlook, and the Microsoft stack. | Visit |
| Google Gemini | Google Workspace users and mixed research workflows | Useful for teams that want AI help close to Docs, Sheets, and search-heavy research. | Visit |
| Zapier | Connecting tools and automating repeatable steps | Good for sending alerts, moving data between apps, and reducing routine manual work. | Visit |
Mistakes to avoid
Make the prompt more specific, keep the source data visible, and review the output before using it in a live workflow.
Make the prompt more specific, keep the source data visible, and review the output before using it in a live workflow.
Make the prompt more specific, keep the source data visible, and review the output before using it in a live workflow.
Make the prompt more specific, keep the source data visible, and review the output before using it in a live workflow.