The Scenario
You are three hours into a quarterly UX review prep, and the feedback data still isn't in the sheet.
Your Mopinion checkout-page form has accumulated 2,400 responses since January. The quarterly review is tomorrow. You need the full dataset — timestamps, scores, respondent emails, and every custom field — in a single sheet so you can filter by score range and pull out the friction patterns the product team asked about.
The bad version:
- Navigate to the Mopinion dataset, find the export function, wait for the CSV to generate, and download it.
- Open the file, discover the column headers don't match your existing sheet schema, and spend 30 minutes reformatting and renaming before you can paste anything.
- Realize halfway through that you need to go back and do this again for the mobile survey dataset that feeds the same review doc.
The review is at 10 AM. You were supposed to be done with this an hour ago. The reformatting alone is a separate project, and you haven't started the analysis yet.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Google Sheet. It connects to Mopinion and can pull a full dataset — every response, every field — into your sheet in one step. No export, no CSV cleanup, no column renaming.
Fetch all feedback responses from Mopinion dataset ID 8821 and write each response as a row in the Responses tab with columns for timestamp, score, respondent email, and every custom field.
What You Get
- Every submission from dataset 8821 lands as its own row in the Responses tab.
- Column A holds the timestamp, column B the score, column C the respondent email — then each custom field gets its own column with the Mopinion field name as the header.
- If any response is missing a field value, the cell is left empty rather than breaking the row.
- The pull is complete in seconds. You're filtering by score the moment it finishes.
What If the Data Is Not Quite Ready
The custom field names don't match your existing schema
Your analysis sheet uses "Rating" and "Customer Email" — Mopinion exports "satisfaction_score" and "respondent_email."
Fetch all feedback responses from Mopinion dataset 8821, write each as a row in the Responses tab, and rename satisfaction_score to Rating and respondent_email to Customer Email in the header row.
You need responses from a date range, not the full history
2,400 responses is more than you need — you only want Q1 (January through March).
Pull all feedback from Mopinion dataset 8821 submitted between 2026-01-01 and 2026-03-31 and write them to the Q1 Responses tab with timestamp, score, email, and all custom fields.
You need to join responses with a second tab's account data
Your Accounts tab has customer tier information keyed by email address.
Fetch all responses from Mopinion dataset 8821 and write them to the Responses tab, then look up each respondent email in the Accounts tab column B and add the corresponding account tier from column C into a new Tier column.
Clean, segment, and summarize in one shot
You need the raw responses, but you also need a score breakdown for the deck.
Pull all feedback from Mopinion dataset 8821 into the Raw tab, skip any rows with a blank score, then in the Summary tab write total response count, average score, count of scores 1–2, count of 3, and count of 4–5.
The cleaner approach is always to ask for the data pull and the downstream work in the same prompt — SheetXAI handles both in sequence.
Try It
Get the 7-day free trial of SheetXAI and open any Google Sheet where you're preparing UX review materials. Ask it to pull your Mopinion dataset responses, then check out the spoke on computing NPS summaries from Mopinion feedback or the Mopinion integration overview.