The Scenario
The new operations analyst joined three weeks ago. Her first project is building a reporting template — an Excel workbook that maps which Fibery databases correspond to which business processes: which types hold customer data, which hold engineering work, which are used for OKRs, and what fields each type exposes. Nobody documented this. The workspace has been growing for two years.
The previous person who held this role understood the Fibery structure intuitively. They never wrote it down. The analyst is staring at a Fibery workspace with 30-plus entity types and no idea where to start.
The bad version:
- Navigate to each entity type in the Fibery workspace UI. Click into the schema view. Manually read each field name and type. Write them down in a workbook.
- Realize midway through that Fibery's UI doesn't distinguish clearly between native fields, formula fields, and relation fields in the same view. Start over with a different approach.
- Get through 12 entity types before the week ends. You still have 20+ to go. The reporting template you were supposed to have ready for the monthly business review is due in four days.
Nobody hired her to manually transcribe a data model. The cognitive load of navigating an unfamiliar workspace while simultaneously building a documentation artifact is significant. Something has to give.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Excel workbook. Through its built-in Fibery integration, it can query the full workspace schema in one call and write the results into your workbook as a structured data dictionary — entity type names, field names, field types, and relation flags, organized and ready to work with.
Fetch the full Fibery workspace schema and write each entity type name into column A, field name into column B, field type into column C, and whether it is a relation (true/false) into column D — include a header row
What You Get
- One row per field across every entity type in the workspace.
- Column A contains the entity type (e.g., 'Engineering/Task', 'Product/Feature').
- Column B contains the field name exactly as it appears in Fibery.
- Column C contains the field type — text, number, date, relation, etc.
- Column D flags whether the field is a relation to another entity type.
What If the Data Is Not Quite Ready
You only want the schema for a specific Fibery space, not the whole workspace
Fetch the Fibery schema for entity types in the 'Engineering' space only and write type name, field name, and field type into columns A, B, and C
You want to include the related type name for each relation field
Fetch the full Fibery workspace schema and write entity type name, field name, field type, and related type name (if it is a relation) into columns A through D
The workbook already has partial documentation and you want to add only the new types
Fetch the Fibery workspace schema and write only entity types that are not already listed in column A of my existing workbook — add new rows at the bottom with type name, field name, and field type
Full schema export with annotations in one shot
Fetch the full Fibery workspace schema — write entity type name, field name, field type, whether it is a relation, and the related type name into columns A through E — then add a formula in column F that flags any field named 'status' or 'priority' with 'Key Field'
One prompt. The schema lands in the workbook with the annotation column already populated.
Try It
Get the 7-day free trial of SheetXAI and open a blank Excel workbook, then ask it to pull your Fibery workspace schema into a structured data dictionary. For related tasks, see how to export Fibery entities to a workbook for reporting or run a GraphQL query and write results to a workbook.