The Scenario
Your product manager dropped a Google Sheet in Slack Friday afternoon. Eighty feature requests, collected from three different customer calls this week. Column B is the title. Column C is priority — High, Medium, or Low. Column D is a one-line description. She needs all of them in Fibery as entities under the 'Product/Feature' type before Monday's planning session, because that's where the engineering team actually works.
The bad version:
- Open Fibery, navigate to the 'Product/Feature' database, click "New entity," type the title, set the priority, paste the description. Repeat. Eighty times.
- Halfway through, realize the priority field in Fibery uses "Critical / High / Normal / Low" not the sheet's "High / Medium / Low" — go back and fix the ones you already created.
- Hit row 50, get interrupted by a different Slack thread, lose your place, and spend five minutes figuring out where you left off.
Eighty entities. Three fields each. At two minutes per entry, that's a Monday morning gone before the planning session even starts. And you were supposed to be preparing the actual agenda, not doing data entry.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Google Sheet. It reads the sheet, understands the structure, and through its built-in Fibery integration it can create entities in bulk for you. No UI clicking, no field-by-field repetition. You just describe what you need.
Read all rows from columns B, C, and D in the 'Feature Requests' tab — title, priority, and description — and create a Fibery entity in the 'Product/Feature' type for each row, mapping priority values from High/Medium/Low to Fibery's High/Normal/Low field options
What You Get
- All 80 feature entities created in Fibery's 'Product/Feature' database, each with title, priority, and description populated.
- Priority values normalized on the way in — the agent handles the mapping from the sheet's vocabulary to Fibery's field options.
- Any rows with missing required fields are flagged in a notes column on the sheet, not silently skipped.
- The run completes in seconds, not hours.
What If the Data Is Not Quite Ready
The title column has trailing whitespace and inconsistent capitalization
Read all rows from columns B, C, and D in the 'Feature Requests' tab — trim whitespace from titles and normalize to title case — then create a Fibery entity in the 'Product/Feature' type for each row
Some rows are missing a description and should be skipped
Read all rows in the 'Feature Requests' tab from column B (title) through column D (description) — skip any row where column D is empty — and create a Fibery entity in the 'Product/Feature' type for each remaining row
The priorities are in a separate lookup tab, not the main sheet
Join the 'Feature Requests' tab (columns B and D: title and description) with the 'Priority Map' tab (columns A and B: feature ID and priority) on feature ID in column A, then create a Fibery entity in 'Product/Feature' for each row with the matched priority value
Full cleanup and create in one shot
Take all rows in the 'Feature Requests' tab where column E (review status) is 'Approved' — trim titles, normalize priority from High/Medium/Low to Fibery's values, skip rows missing a description, then create a Fibery entity in 'Product/Feature' for each one and write the created entity ID back into column F
One prompt. The cleanup and the entity creation happen in the same pass — not as two separate steps you have to coordinate.
Try It
Get the 7-day free trial of SheetXAI and open any Google Sheet with a backlog or intake list, then ask it to bulk-create entities in Fibery. For related tasks, see how to export Fibery entities to a sheet for reporting or run a GraphQL query and write results to a sheet.