The Scenario
You are an HR analyst at a 500-person company. The anonymous employee engagement survey closed two days ago with 340 responses, and the leadership debrief is tomorrow morning. You need every answer pulled into Google Sheets so you can calculate departmental scores, flag the low-trust questions, and build the summary slide.
The bad version:
- Export a CSV from SurveyMonkey Analyze, open it, discover the column headers are question IDs like Q12345_Row1 instead of readable question text, and spend 40 minutes manually renaming 18 columns.
- Cross-reference the column renames against the survey's question list to make sure nothing is mislabeled, because one wrong mapping tanks the whole department analysis.
- Realize the export includes partial responses you need to exclude, go back to SurveyMonkey's filter panel, re-export, and restart the rename process.
The debrief is in 16 hours. You are supposed to be doing analysis right now, not archaeology on column headers.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Google Sheet. It reads the sheet, connects to SurveyMonkey, and handles the response pull — including resolving question IDs into readable labels — so you get a clean dataset without the export-reformat loop.
Fetch all bulk responses for SurveyMonkey survey ID [X] and write each respondent's answers to all questions as columns in this sheet — one respondent per row — including date submitted and completion status. Use question text as column headers, not question IDs. Exclude incomplete responses.
What You Get
- One row per respondent, starting in row 2, with headers in row 1.
- Column headers are the actual question text, not SurveyMonkey's internal IDs.
- A Date Submitted column and a Completion Status column at the far right.
- Only fully completed responses included — partial submissions are filtered out automatically.
What If the Data Is Not Quite Ready
The survey has 340 responses but you only need the last 90 days
Fetch all bulk responses for SurveyMonkey survey ID [X], filter to responses submitted after 2026-02-14, write them to this sheet with question text as column headers, and include date submitted in column A.
Some questions are multi-select and the answers are pipe-delimited in one cell
Fetch responses for SurveyMonkey survey ID [X], and for any question where answers are pipe-delimited (multiple choices in one cell), split them into separate columns labeled Q[n]_Choice1, Q[n]_Choice2, etc. Write all respondents to this sheet with date submitted in column A.
You need responses joined with a department lookup from a second tab
Fetch all completed responses for SurveyMonkey survey ID [X] and write them to the 'Responses' tab. Then look up each respondent's email address in the 'Employees' tab column B and write their department from column C into a Department column on the Responses tab.
You need scores, excluded partials, and a department breakdown — all in one prompt
Fetch all completed responses for SurveyMonkey survey ID [X], exclude any respondent with more than 3 unanswered questions, write all answers to the 'Raw Data' tab with question text as headers, then calculate the average score per department (using the Department lookup in the 'Employees' tab) and write a summary table to the 'Department Scores' tab.
One prompt handles the pull, the cleanup, the join, and the summary. That is the pattern — describe the full task rather than each individual step.
Try It
Get the 7-day free trial of SheetXAI and open the Google Sheet where you want your engagement survey data to land — then ask it to pull responses with readable headers and filter out incomplete submissions. For multi-survey programs, see the spoke on consolidating responses across multiple surveys. For the full SurveyMonkey integration overview, see the hub page.