The Scenario
You are an HR analyst at a 500-person manufacturing company. The annual anonymous safety perception survey just closed — 280 responses across 8 production lines — and you have two days before the safety committee review. All the answers need to be in an Excel workbook so you can calculate per-line scores, flag the lowest-rated questions, and build the summary table.
The bad version:
- Export a CSV from SurveyMonkey Analyze, open it in Excel, discover the column headers are question IDs like Q98765_Row1 instead of readable text, and spend 45 minutes manually renaming 22 columns by cross-referencing the survey.
- Realize the export includes partial responses you need to exclude, go back to SurveyMonkey, re-export with the completion filter, and restart the rename process from scratch.
- Try to apply a VLOOKUP against the production line column only to discover the line codes in the survey don't match the line codes in your HR system, requiring another round of manual cleanup.
The safety committee meets in 48 hours. The workbook is supposed to be ready for review tonight, not tomorrow at midnight.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Excel workbook. It reads the workbook context, connects to SurveyMonkey, and handles the response pull — resolving question IDs into readable headers and filtering to completed responses only.
For SurveyMonkey survey ID [X] in Excel, first get the full survey structure to map question IDs to question text, then pull all completed bulk responses and write respondent answers as labeled columns — one respondent per row — including date submitted and completion status. Exclude incomplete responses.
What You Get
- One row per completed respondent, starting in row 2, with headers in row 1.
- Column headers are the actual question text, not SurveyMonkey's internal IDs.
- Date Submitted and Completion Status in their own columns at the far right.
- Partial and incomplete submissions excluded automatically.
What If the Data Is Not Quite Ready
You only need responses from the last 60 days
For SurveyMonkey survey ID [X] in Excel, get the survey structure to map question IDs to labels, then pull all completed responses submitted after 2026-03-15. Write them to the active worksheet with question text as headers and date submitted in column A.
Some questions have multi-select answers that land as pipe-delimited strings
Fetch completed responses for SurveyMonkey survey ID [X], map question IDs to question text for headers, and for any question where answers are pipe-delimited, split them into separate columns labeled Q[n]_Choice1, Q[n]_Choice2, etc. Write to the active worksheet.
You need responses joined with a production line lookup from a second worksheet
Fetch all completed responses for SurveyMonkey survey ID [X] and write them to the 'Responses' worksheet with question text as column headers. Then look up each respondent's employee ID in the 'HR Data' worksheet column A and write their production line from column B into a new Production Line column on the Responses worksheet.
You need the full dataset with readable headers, partial exclusion, lookup join, and per-line averages — all in one pass
Fetch all completed responses for SurveyMonkey survey ID [X], resolve question IDs to question text for headers, exclude any respondent with more than 2 blank answers. Write to 'Raw Data'. Join with the production line lookup in 'HR Data' (employee ID column A, line column B). Then calculate the average score per line for each question and write the results to 'Line Scores'.
Try It
Get the 7-day free trial of SheetXAI and open the Excel workbook where you want your survey data to land, then ask it to pull completed responses with readable headers. For pulling responses from multiple surveys into one master workbook, see the spoke on consolidating multi-survey responses. For the full SurveyMonkey overview, see the hub page.