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This is the question every business user should ask — and the reason TextQL is built the way it is. Every answer is auditable. (How your data team proves accuracy org-wide — golden datasets, drift alarms — is the Data Quality & Validation workshop; your job here is the personal verification habit.)

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2.1 · Open the work

Take any answer from Module 1 and expand the collapsed tool cells above it. You’ll see the exact SQL that ran, the rows that came back, and any analysis code. You don’t need to read SQL — but it’s there, and your data team can review it in seconds.
Expanded tool cell showing SQL

The receipt behind every number: the exact query, expandable in one click.

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2.2 · Ask Ana to explain her own work

Prompt
You’ll see: a step-by-step explanation a non-technical stakeholder could follow — table, filters, definitions, assumptions, caveats.

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2.3 · Check it against a number you already know

Prompt
You’ll see: either a match (calibration confirmed) or a mismatch. A mismatch is useful — follow with “Why might your number differ from [reference]?” Common causes: time zones, filters (test accounts? refunds?), definitions. You just found a definitional gap; Module 6 fixes it for everyone.

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2.4 · Governed answers vs. ad-hoc answers

Prompt
You’ll see: which numbers carry your org’s stamp of approval and which are best-effort. Governed numbers are consistent for everyone who asks; ad-hoc ones are transparent but not yet standardized.

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2.5 · The trust checklist

  • Source — which table/connector?
  • Window — what time range and time zone?
  • Filters — what was included/excluded?
  • Definition — governed, or on the fly?
  • Freshness — when was the data last updated?
Prompt
You’ll see: all five trust dimensions in one footnote you can paste under any chart in a deck.

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✅ Checkpoint

  • You expanded a tool cell and saw the actual SQL behind an answer
  • Ana explained a calculation in plain English on request
  • You reconciled (or explained a difference vs.) a number you already knew
  • You know how to ask whether a metric is governed