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 workbook, 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 Excel, 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 Excel workbook. 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.
Pull only the low-rating responses (score <= 2) from my Mopinion 'Post-Purchase Survey' dataset and list them here with submission timestamp, email address, and verbatim feedback text.
What You Get
- Only the rows where satisfaction_score is 1 or 2 — exactly 47 rows in this case.
- Three columns: submission timestamp, respondent email, verbatim open-text feedback.
- 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 raw score value for each response
The support team wants to triage by severity — 1-star vs. 2-star outreach may be handled differently.
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 score ascending so 1-star responses appear first.
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 worksheet's customer tier data
Your CRM export is in the Accounts worksheet, 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 sheet with email, score, and comment, then look up each email in the Accounts sheet 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 sheet 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 Excel workbook 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.