The Scenario
Your support team lead forwarded you a Mopinion report screenshot at 8 AM with a note: "We got 47 one- and two-star ratings on the post-purchase survey last week. Can you pull those contacts so we can do outreach today?"
You are a customer success manager. You have access to the Mopinion account. The data exists — you just have to get the right 47 rows into a sheet, with the respondent emails and the verbatim text, fast.
The bad version:
- Export the full post-purchase survey dataset as CSV — all 800+ responses from the past month.
- Import it into a sheet, then manually filter the Score column for values of 1 and 2.
- Discover that the exported file has the score column labeled "satisfaction_score" but your filter was set up for "Score," so none of the rows matched, and you have to rebuild the filter.
The support team expected the callback list by 9 AM. It's 8:47 and you're still debugging a column name mismatch.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Google Sheet. It connects to Mopinion and can filter responses by field value at the point of retrieval — so instead of pulling everything and filtering after, you get only the rows that match the condition you need.
Fetch all feedback from Mopinion dataset 8821 where satisfaction_score is 1 or 2 and write those rows to this sheet with respondent email, score, and open-text comment.
What You Get
- Only the rows where satisfaction_score is 1 or 2 — exactly 47 rows in this case.
- Three columns: respondent email, satisfaction score, verbatim open-text comment.
- The list is ready to hand to the support team for outreach without any additional filtering or cleanup.
- The pull takes seconds. You have the callback list before the 9 AM handoff.
What If the Data Is Not Quite Ready
You also need the submission timestamp for each response
The support team wants to prioritize outreach by recency — most recent low scores first.
Fetch all feedback from Mopinion dataset 8821 where satisfaction_score is 1 or 2, write each row with submission timestamp, respondent email, score, and open-text comment, then sort by timestamp descending.
Some respondent emails are blank — you need a way to flag those
Not every respondent left an email. You need to know which rows are uncontactable.
Pull all feedback from dataset 8821 where satisfaction_score is 1 or 2. Write each row with submission timestamp, email, score, and verbatim comment. Add a Contactable column — Yes if email is populated, No if blank.
You need to join the low-score list with a second tab's customer tier data
Your CRM export is in the Accounts tab, keyed by email. You want to know which low scorers are enterprise accounts.
Fetch all feedback from Mopinion dataset 8821 where satisfaction_score is 1 or 2, write each row to the Low Scores tab with email, score, and comment, then look up each email in the Accounts tab column A and bring in the account tier from column B.
Pull the low scores, add a draft outreach note, and flag priority accounts in one step
The support lead wants the list pre-prioritized, with a suggested outreach opener for each row.
Fetch all feedback from dataset 8821 where satisfaction_score is 1 or 2. Write each row with email, score, and verbatim comment. Look up each email in Accounts tab column A and add the account tier from column B. Add a Priority column — High if the tier is Enterprise, Standard otherwise. Then add a Draft Note column with a brief outreach opener referencing the specific verbatim feedback.
Combining the data pull, the lookup, the segmentation, and the draft generation in one prompt is the difference between a callback list and a callback campaign.
Try It
Get the 7-day free trial of SheetXAI and open any Google Sheet where you're managing customer follow-up from feedback data. Pull your filtered Mopinion responses in one prompt, then see the full feedback export spoke or the Mopinion integration overview.