The Scenario
A product manager drops a task in your queue: find every SupportBee ticket mentioning each of the 15 feature names in the Search Terms Excel table and build a complaint-volume breakdown by feature for the roadmap review on Thursday. Today is Tuesday.
You have never done a multi-keyword SupportBee search before.
The bad version:
- Open SupportBee, type the first feature name into the search bar, scroll through results, copy each ticket ID and subject into your workbook manually
- Search for the second keyword, repeat
- By the fourth keyword you have 30 result rows scattered across the workbook with no consistent structure, and you realize you forgot to note which keyword matched which ticket
15 keywords. Dozens of potential results each. The product manager is expecting a tidy pivot-ready table on Thursday, not a disorganized manual paste job.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent inside your Excel workbook that can run all 15 searches against SupportBee and collect every result in a structured table automatically.
For each keyword in the Search Terms Excel table, search SupportBee and append matching ticket ID, subject, and requester rows into a consolidated results sheet
What You Get
- One SupportBee search executed per keyword in the Search Terms table
- Every matching ticket appended as its own row in a consolidated results sheet, with ID, subject, requester email, and the keyword that matched
- Consistent column structure across all results — no alignment cleanup needed
- The keyword column lets the product manager filter by feature and count complaint volume per row
What If the Data Is Not Quite Ready
You want a summary count per keyword instead of individual rows
For each keyword in the Search Terms table, search SupportBee for matching tickets and write the count of results back into a column B next to the keyword
You only want results from the last 90 days
For each keyword in the Search Terms table, search SupportBee for tickets created in the last 90 days and append matching ticket ID, subject, requester, and created date into a consolidated results sheet
You want to deduplicate tickets that appear in multiple keyword searches
Run all keyword searches from the Search Terms table; collect all matching ticket IDs, subjects, and created dates; remove duplicate ticket IDs keeping the row with the earliest created date; add a column showing how many keywords matched each unique ticket; write the deduplicated table to a new sheet named "Feature Analysis"
Kill chain: run all searches, deduplicate, annotate with match count, sort by complaint volume
Search SupportBee for each keyword in the Search Terms table; collect all matching tickets; deduplicate by ticket ID; add a column for number of keyword matches; sort by match count descending; write the result to a sheet named "Feature Complaint Analysis"
One prompt — all searches, deduplication, annotation, and sorting for the Thursday roadmap review.
Try It
Get the 7-day free trial of SheetXAI and open your Search Terms workbook, then ask it to run all the SupportBee keyword searches and build the analysis sheet. Also worth reading: exporting open tickets for triage, and the hub overview for all SupportBee workflows.