From the CloudTables view your team selects, Strawberry can find duplicate rows, blank owners, and fields unsupported by their sources, then assemble a review queue with the relevant row history and research. It flags proposed changes rather than silently overwriting cells.
01
A table is only useful when its rows can be trusted.
With CloudTables open, Strawberry can inspect the row context you select and prepare a cleanup pass that makes duplicates, blanks, and uncertain values explicit instead of overwriting them.
02
Research can be attached to the row that needs it.
A companion can move between an open CloudTables record and the web pages that substantiate it. It can prepare a sourced update for review without presenting browser research as settled data.
03
A filtered view should lead to a useful next-step queue.
Rather than merely noticing stale or incomplete entries, Strawberry can turn a CloudTables filter into a concise review list with the evidence needed to decide what belongs next in each row.
04
Data hygiene can run as preparation, not unattended editing.
Each Friday, Strawberry can scan the chosen CloudTables view for rows without a source or owner and prepare the exception report with the affected records. It never fills a cell, merges a duplicate, or changes a row without review.