Memento Database is a flexible database app for building custom collections and records, including forms, fields, relationships, and attachments. Strawberry can help an operator inspect the data model and selected records together, then prepare a precise cleanup or handoff without guessing at the meaning of a field. Its useful capability areas include custom collections, fields, records, forms, attachments, relationships, inventory-style lists, and mobile data capture.
01
Read the record in the model that gives it meaning.
A value in a custom database can be misleading when the field definition, linked record, attachment, or form context is missing. Review the schema and the actual record together before deciding it is wrong.
02
Make data cleanup a reviewed proposal.
A cleanup can be useful and still be destructive if it merges distinct records or replaces a locally meaningful value. Prepare proposed changes as a visible diff, with the rule behind each suggestion and an exception list.
03
Turn mobile capture into an accountable handoff.
Records entered in the field often need a second person to decide what happens next.
Create a concise handoff that preserves the original form, attachment, timestamp, and linked records rather than copying only the conclusion.
04
Run the data-quality pass before the records are used.
A Memento Database review is most valuable before stocktake, a client export, or another downstream decision. Define that exact quality check as a skill and schedule it before the data leaves the collection, not after an error has spread.
Memento Database Strawberry