The Scenario
A product manager at a fintech company ran a customer effort score survey weekly for 10 weeks — same questions, new response window each time. She wants to see how answer distributions shifted week by week, especially for the two questions that track how easy it was to complete a transaction. The data is in SurveyMonkey. She needs it in Excel so she can build the before/after chart for the exec review on Friday.
The bad version:
- Go to SurveyMonkey Analyze, click into Trends, see the chart — realize there is no way to export the time-series grid as a usable table.
- Export all responses as a flat CSV, open in Excel, try to build a pivot table that groups responses by week and answer option — spend an hour wrangling dates that didn't export in a consistent format.
- End up with a pivot table that almost works but has subtotals in the wrong place and question IDs instead of readable labels.
The exec review is Friday morning. The chart is supposed to be one of four talking points. It should not be the item that eats Thursday night.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Excel workbook. It connects to SurveyMonkey, pulls the trend data endpoint, and writes the structured time-series output directly into the worksheet.
Pull trend data from SurveyMonkey survey ID [X] into Excel and structure it with question text in column A, time period in row 1, and answer counts filling the grid below — one section per question.
What You Get
- A structured grid per question: question text as a section label, time periods as column headers in row 1, answer options as row labels.
- Answer counts filled into the grid — raw counts, not percentages, so you can normalize as needed.
- Each question section separated by a blank row for chart-readiness.
What If the Data Is Not Quite Ready
You want long-format data for pivot table analysis instead of the grid layout
Pull trend data for SurveyMonkey survey ID [X] into Excel in long format: column A = question text, column B = answer option, column C = time period, column D = response count. One row per unique question/answer/period combination.
The survey ran 10 weeks but you only need weeks 4 through 10
Pull trend data for SurveyMonkey survey ID [X] and filter to time periods between 2025-11-01 and 2025-12-31. Write answer counts per period for each question in the section grid layout.
You want percentage share instead of raw counts
Pull trend data for SurveyMonkey survey ID [X] and write the percentage share of each answer per time period — divide each answer count by the total responses for that period, rounded to one decimal. Use the section grid layout with time period headers.
You need raw counts, a weekly net score, and a trend direction summary — all in one pass
Pull trend data for SurveyMonkey survey ID [X]. Write raw answer counts per period in long format to the 'Trend Raw' worksheet. Calculate a weekly net score per question (positive minus negative divided by total) and write to 'Sentiment Scores' with week labels as column headers. Write a 'Summary' worksheet with question text and overall trend direction (improving, declining, flat) based on the first vs. last period scores.
Try It
Get the 7-day free trial of SheetXAI and open the Excel workbook where you want your trend breakdown, then ask it to pull time-period answer counts structured for charting. For pulling flat response data instead, see the spoke on bulk-exporting survey responses. For the full SurveyMonkey overview, see the hub page.