A bad formula explanation reads like “this VLOOKUP looks up Sheet2!A:B”. A good one explains the business logic, named edge cases, and would let a colleague modify the formula safely.
Who this is for
Analysts inheriting other people’s spreadsheets, finance / ops teams maintaining recurring sheets, anyone who has stared at a 100-character LAMBDA.
When not to use these prompts
Don’t use these for one-shot ad-hoc formulas. Don’t use them when the formula is wrong — fix it first, then document.
Prompt anatomy / structure formula
Every prompt should carry six elements:
- Role: who AI plays — analyst, chief of staff, manager.
- Context: team / org / project / data scope.
- Goal: one deliverable — table, doc, talking points, plan.
- Constraints: word count, must-include fields, audience seniority.
- Tone: confident, neutral, factual — depends on audience.
- Examples: 1-2 samples of prior work to anchor format.
Best for
- Onboarding analyst to a complex sheet
- Documenting a formula before passing it on
- Simplifying a nested mess
- Translating Excel ↔ Google Sheets
- Replacing fragile lookups with structured tables
12 copy-ready prompt templates
1. Plain-English formula explanation
Explain this Excel formula: {formula}. Output: (1) one-sentence purpose, (2) step-by-step what each part does in plain English, (3) inputs / outputs / edge cases, (4) what breaks it.Variables to swap: formula
2. Business-logic explanation
For this formula in context `{context}`, explain the business logic it implements (not just the syntax). Output: 1-paragraph business intent + 1-paragraph mechanism.Variables to swap: formula, context
3. Simplification candidate
This nested formula: {formula} is hard to read. Propose 2 simplifications: (a) using helper cells, (b) using newer functions (LET / LAMBDA / IFS). For each: trade-off (clarity vs single-cell).Variables to swap: formula
4. VLOOKUP → XLOOKUP / INDEX-MATCH
Replace this VLOOKUP `{formula}` with XLOOKUP and INDEX-MATCH alternatives. Show all three side by side. Note which is best for: (1) future maintenance, (2) error handling, (3) speed.Variables to swap: formula
5. Excel ↔ Google Sheets translation
Translate this formula from {fromTool} to {toTool}: `{formula}`. Flag functions that don't exist or behave differently (e.g., ARRAYFORMULA, XLOOKUP availability). Output the translated formula + caveats.Variables to swap: formula, fromTool, toTool
6. LAMBDA decomposition
Decompose this LAMBDA: `{formula}` into named helper LAMBDAs (or LET). Output: refactored version with each piece named and 1-line comment. Aim for readability over brevity.Variables to swap: formula
7. Error-handling pass
Add error handling to this formula `{formula}`: wrap with IFERROR / IFNA where appropriate. Don't suppress all errors — keep #VALUE! / #REF! visible to surface real bugs.Variables to swap: formula
8. Volatile-function audit
Audit these formulas for volatile functions (NOW, TODAY, RAND, INDIRECT, OFFSET) that slow workbooks. For each: alternative + when each is fine to keep.9. Named-range conversion
This formula uses raw ranges (e.g., Sheet1!A2:A1000): {formula}. Convert to named ranges or structured Table references (Table1[Column]). Show the rewrite + how to define the names.Variables to swap: formula
10. Sheet documentation block
Generate a documentation block for this sheet: (1) Purpose, (2) Inputs (where data comes from), (3) Outputs (what people use), (4) Key formulas (with this prompt explanation) + cells, (5) Owner + last updated.11. Power-query / Pivot trade-off
My current formula `{formula}` could be a Power Query or Pivot Table instead. Decide: (1) Stay as formula because…, (2) Move to Power Query because…, (3) Use Pivot because… Pick one with 3-line rationale.Variables to swap: formula
12. Formula audit on a sheet
Audit this sheet for: (1) Hardcoded numbers that should be inputs, (2) Formulas with > 5 levels of nesting, (3) Inconsistent formulas across rows (some changed, some not), (4) Circular refs. Output a fix list.Common mistakes
- No specific context — output is generic.
- Skipping fact-check — AI invents numbers when given soft inputs.
- Vague audience — output overshoots or undershoots seniority.
- No word limit — receivers won’t read past line 5.
- Same template for every situation — readers tune out.
- No “decision needed” framing — readers don’t know what to do.
- Forgetting to attach the source data — claims without receipts.
How to push results further
- Always specify audience level (IC / Manager / VP / CEO).
- Cap length: 1-page max for tactical, 3-bullet for executive.
- Lead with the ask / decision needed. Context after.
- Attach source data link — saves a follow-up email.
- Read aloud before sending; cut every sentence > 25 words.
- Use AI to draft and audit, not to ship without review.
- Save best examples; reuse format, refresh content.
Practical depth notes
Use these prompts as starting points, not final answers. For Excel Formula Explanation Prompts for VLOOKUP and LAMBDA, the useful extra work is to replace every generic placeholder with a real constraint: audience, channel, length, brand voice, examples to imitate, and examples to avoid. Run at least two versions with different constraints, then compare the outputs side by side instead of accepting the first polished response.
A good result should pass three checks: it is specific enough that another person could reuse it, it avoids vague praise or filler, and it gives you an editable artifact rather than a broad suggestion. If the output feels generic, add one concrete reference, one forbidden pattern, and one measurable success criterion before rerunning the prompt.
FAQ
- How long should this doc be?: Match audience patience. Tactical: 1 page. Executive: 3 bullets + link.
- Can AI replace the analyst?: For first drafts and templates yes; for judgment calls no.
- How often refresh?: Cadence-driven (weekly / monthly / quarterly) but adjust when audience signals fatigue.
- Should I include risks?: Always. Pretending no risk exist erodes trust on the next update.
- How to keep it fact-checked?: Attach data sources and have a peer skim numbers before sending.
- Can AI generate the data itself?: No — AI invents plausible numbers. Connect to real data sources.
Related
- Excel analysis prompts
- SOP drafting prompts
- Process improvement prompts
- Handover document prompts
- How to Use AI to Explain a Chart or Table: Three Captions a Stranger Can Act On
- How to Use AI to Explain a Complex Table: Turn Dense Data into a Reader Digest
- Productivity & Office Prompts hub
Tags: #Prompt #Productivity #Excel #Formula