The Scenario
It's three days before the board meeting and the support director just forwarded you a request: last quarter's Missive metrics — daily conversation volume, average first-response time, average close time — need to be in a Google Sheet by end of day tomorrow so slides can be built.
You have Missive access. You have never used the analytics section of Missive before.
The bad version:
- Navigate to Missive Analytics, figure out which report type covers the metrics you need, set the date range to Q1 2025, and look for an export button.
- Find that the export produces a CSV but not in the layout the director wants — you need one row per day, and the export gives you something different.
- Spend 45 minutes reformatting the CSV in Excel before pasting it into the Sheet, then realize you exported the wrong date range.
The board presentation is two days away. Reformatting analytics exports is not how you planned to spend the next three hours.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Google Sheet. It connects to Missive and pulls analytics data directly — writing it to your sheet in whatever layout you specify.
Create a Missive analytics report for Q1 2025 and write the results into my sheet — one row per day with conversation count, first-response time, and close time
What You Get
- One row per day in the active sheet covering the full Q1 2025 date range, with conversation count in column A, average first-response time in column B, and average close time in column C.
- Column headers written to row 1 automatically.
- The data lands ready for a chart or pivot table without any reformatting.
What If the Data Is Not Quite Ready
You need the data broken out by inbox rather than across the whole organization
Fetch Missive analytics for Q1 2025 and write the results to my sheet — one section per inbox, with each section showing daily conversation count, first-response time, and close time. Use the inbox name as the section header
Leadership wants a summary row at the bottom with totals and averages
Pull Missive analytics for Q1 2025 — one row per day with conversation count, avg first-response time (minutes), avg close time (minutes). After the last data row, add a summary row with the total conversation count and the average of the daily averages for response and close time
The date range needs to be driven by values already in the sheet (cell A1 = start date, cell B1 = end date)
Use the date range from cells A1 (start) and B1 (end) in this sheet, fetch Missive analytics for that range, and write one row per day — conversation count, first-response time, close time — starting from row 3
Pull, calculate week-over-week change, and format for slides in one shot
Pull Missive analytics for Q1 2025 — one row per day with conversation count, avg first-response time (min), avg close time (min). Add a column that shows the week-over-week percentage change in conversation count. Sort by date ascending. Write results to a tab called 'Q1 Analytics'
Combining the data pull with derived calculations in one prompt means the sheet lands ready for the presentation, not ready for more cleanup.
Try It
Open a Google Sheet for your board prep and get the 7-day free trial of SheetXAI. Ask it to pull Missive analytics for the quarter you need — specify your date range and your columns and it handles the API call and the layout. See the export-inbox-conversations spoke if you also need a snapshot of open conversations, or browse the hub for other Missive workflows SheetXAI covers.