The Scenario
Your quarterly business review is in four days. The VP just asked for a breakdown of detractor themes from the last 90 days — not a count, an actual thematic read. You open Retently, navigate to the feedback section, and realize you are looking at a paginated table with no easy way to get all 1,400 rows into a shape where you can actually analyze them.
The bad version:
- Export the feedback CSV, open it in Sheets, discover the score column is formatted as text, spend 20 minutes converting it and adding a category formula column.
- Realize the comment text column has inconsistent encoding and some cells are truncating mid-sentence — go back into Retently to verify, copy individual entries by hand.
- Build a pivot manually to group by score category, notice you forgot to filter out internal test entries, rebuild the pivot.
Your analysis window for this is Tuesday afternoon, not all of Tuesday through Thursday. The report is going to the VP, not into a folder somewhere.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Google Sheet. It reads the sheet, understands what you are working on, and through its built-in Retently integration it can pull all feedback records directly — no CSV, no reformatting, no manual category labels. You describe what you want; it handles the API calls and the writeback.
Fetch all Retently feedback from the last 90 days and write each response's customer email, NPS score, comment text, campaign name, and submission date into Sheet1 — add a Category column that labels each score as Promoter, Passive, or Detractor
What You Get
- Columns land in the order specified: email, score, comment, campaign name, date, category label.
- Every score 9-10 gets labeled Promoter, 7-8 Passive, 0-6 Detractor — computed during the pull, not after.
- The sheet starts at row 2, with headers in row 1 matching your column names.
- Any rows where the comment field is empty arrive with an empty cell, not an error — the row is still complete.
What If the Data Is Not Quite Ready
The scores arrived as text and your pivot formula broke
Re-fetch the Retently feedback for the last 90 days into Sheet1 — ensure the NPS score column is formatted as a number, not text, and re-apply the Promoter/Passive/Detractor labels in column G based on the numeric value
You only want feedback from one specific campaign
Pull all Retently feedback submitted in the last 90 days where the campaign name is Post-Onboarding NPS and write the results to the Campaign View sheet — columns for email, score, comment, and date only
You need to join the feedback against an account tier list in Sheet2
Fetch all Retently feedback from the last 90 days into Sheet1 with email, score, comment, and category columns — then for each email, look up the account tier from the matching row in Sheet2 column B and write it into column F
Full cleanup and analysis in one pass
Pull all Retently feedback from the last 90 days into Sheet1 — remove any rows where the email contains @retently.com or @sheetxai.com (internal test entries), ensure score is numeric, add a Category label, then count the total Promoters, Passives, and Detractors and write the summary into cells H2, H3, and H4 with labels in column G
The pattern: ask for the data quality fix and the analysis output in the same prompt rather than doing them in two separate steps.
Try It
Get the 7-day free trial of SheetXAI and open a Google Sheet where you track NPS programs or customer feedback, then ask it to pull and categorize your last 90 days of Retently responses. You can also explore enriching your account list with NPS scores or check the Retently integration overview.