Sigma lets teams explore cloud data through workbooks, tables, charts, and shared analysis. Strawberry can reconcile the metric definitions behind a report, investigate a movement across the visible data, prepare a workbook review, and turn findings into a decision brief that keeps sources and caveats attached.
01
Put the definition next to the number before the meeting argues about it.
A workbook total can be correct while the team still disagrees because one view uses a different filter, grain, time window, or event definition. Strawberry can prepare the visible calculation context alongside the reported figure, making the comparison checkable.
02
Investigate a movement without turning a chart into a story too soon.
A change in a chart may reflect segment mix, data freshness, tracking changes, seasonality, or a real business event. Strawberry can organise the available workbook evidence and connected context into an investigation brief that distinguishes what happened from what might explain it.
03
Compare reporting views before different teams act on different truths.
When the same KPI appears in several workbooks, a mismatch can spread quickly into conflicting plans and misleading performance conversations. Strawberry can line up the selected views and prepare a reconciliation record for the analytics owner.
04
Run the Monday consistency check before leadership reporting starts.
An 08:00 Monday pass gives the data team a chance to resolve definition and freshness questions before the weekly reporting conversation turns a discrepancy into a decision. Save the metric-control method as a Sigma skill and use a routine to prepare the workbook brief at that cadence, without changing analysis or distribution.
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