Spreadsheet insights
Design an A/B test results workbook
Structure assignment, exposure, outcomes, exclusions, uncertainty, and decision rules without overstating a test
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AI data analysis prompts for trends, outliers, segments, surveys, forecasts, charts, and executive summaries with explicit definitions and checks
A polished analysis can still be wrong when metrics, denominators, missing values, or time periods are unclear. These prompts start from the data contract and require reconciliation before interpretation.
Spreadsheet insights
Structure assignment, exposure, outcomes, exclusions, uncertainty, and decision rules without overstating a test
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Connect every dashboard number to a decision, population, formula, source, owner, refresh rule, and limitation
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Compare groups using consistent metrics, denominators, coverage, and minimum sample rules
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Match the summary statistic to the decision, metric scale, distribution, weighting, and tail risk
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Match the comparison task and data shape to a chart without distorting scale or uncertainty
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Normalize price, quantity, quality, fees, conditions, timing, rewards, returns, and unused volume before comparing savings
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Compare complete periods with explicit baselines, denominators, and missing-period rules
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Review scale, encoding, labels, missing context, and the claim against source values
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Separate sustained change, seasonality, and one-off noise using explicit time periods
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Combine rating distributions with traceable comment themes and response-bias limits
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Measure missingness by field and group before deciding whether to leave, recover, or exclude it
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