Explain This Spreadsheet
Turn a confusing table into plain-English findings and questions.
OFP SCORE8.9/10USEFULNESS · CLARITY · HONESTY
WHY WE GAVE IT 8.9/10
It separates what the data shows from what still needs context, reducing confident misreadings.
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YOUR PROMPT
426 charactersExplain this data for a non-specialist. Context: website leads and completed sales. Data: Month | Leads | Sales Jan | 220 | 18 Feb | 310 | 19 Mar | 280 | 27. Start with what each column appears to mean, then identify visible patterns, calculate only values supported by the data, flag quality issues, and give three useful follow-up questions. Separate observation from interpretation. Do not imply causation without evidence.
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Turn a confusing table into plain-English findings and questions.
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It separates photo evidence, seller-confirmed facts and unknowns before writing, while enforcing real unedited photos, honest flaws and a live price check. Not 10/10: AI still cannot inspect hidden damage, prove authenticity, know current demand or publish responsibly without the seller's review.