AI-assisted practical guide. Examples are hypothetical; proposed workflows are editorial suggestions.
Before asking AI to explain a table, supply the meaning of its columns and missing values. A model should not have to guess whether a blank means zero, not measured, or not applicable.
Provide the data contract
Include units, observation period, row definitions, and any known limitations. Ask for statements tied to specific cells or calculations. Separate description of the table from possible explanations that would require additional evidence.
Check calculations independently where they matter. A readable paragraph is not a substitute for verifying the arithmetic and denominator.
Review a hypothetical trend
Imagine a fictional table shows more completed requests in one month, but also records a longer observation period. The assistant should mention the difference in exposure rather than immediately claim that productivity improved.
If a category was renamed or a collection method changed, include that information. Otherwise the summary may join unlike records into an apparently smooth trend.
Publish a bounded explanation
Keep the final text close to what the table actually supports. Label estimates and unresolved questions. If the assistant proposes a cause, treat it as a hypothesis to investigate, not a discovered fact. Save the table version alongside the explanation so later corrections can be traced. A useful summary makes the evidence easier to read while preserving its limits.