The Scenario
You're three days into a sprint planning cycle and someone just pinged you in Slack: "Can you send me the pages with the most rage clicks? We're trying to decide what to fix first." You've got a Google Sheet where you track UX issues — columns for page URL, issue type, priority, and status — but the rage click numbers aren't in it. They're in Clarity, locked behind the dashboard, and the last time you exported them you spent forty minutes reformatting a CSV that didn't match your sheet's column layout.
The bad version of handling this request looks like:
- Log into Clarity, filter to the last 30 days, read off the rage click count for each page, and type the numbers into your sheet by hand — one page at a time, checking back and forth between tabs.
- Realize you also need dead click counts, go back to Clarity, find the right view, and repeat the process for a second column.
- Sort the sheet manually, notice two rows have inconsistent URL formats so the sort breaks, fix those, re-sort, and then paste the finished table into Slack twenty minutes after the person needed it.
Your job in this sprint is to define the fix backlog, not to transcribe behavioral data. The team is waiting on your prioritization, not on you reformatting a dashboard export.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives directly inside your Google Sheet. It reads the sheet you're working in, connects to Microsoft Clarity through its built-in integration, and pulls the behavioral data you ask for — writing it straight into your columns without a CSV in sight.
Open the sheet where you track UX issues and type this into the SheetXAI sidebar:
Export Microsoft Clarity data for the past 30 days and write each page URL, session count, rage click count, dead click count, and average scroll depth into columns A–E of this sheet — sort by rage click count descending
What You Get
- Column A fills with page URLs exactly as Clarity tracks them, no manual formatting needed
- Columns B through E populate with session count, rage click count, dead click count, and average scroll depth for each page
- Rows arrive pre-sorted with the highest rage click counts at the top, so your dev team's priority order is already visible without a secondary sort step
- Any page with zero sessions in the period is either excluded or flagged, not silently written as a blank row
What If the Data Is Not Quite Ready
The URLs in my sheet don't match how Clarity tracks them
Your sheet might store clean slugs like /pricing while Clarity logs full URLs like https://yoursite.com/pricing?utm_source=email. Ask SheetXAI to normalize:
Export Clarity rage click and dead click data for the past 30 days, strip query parameters from all URLs before writing them to column A, and sort by rage click count descending — write session count, rage clicks, and dead clicks into columns B–D
I only want pages above a certain session volume
Low-session pages skew the rage click rate even when the raw count is small. Scope it:
Pull Clarity data for the past 30 days, write page URL, sessions, rage clicks, and dead clicks into columns A–D, but only include pages with more than 50 sessions in the period — sort by rage click count descending
My sheet tracks pages by internal name, not URL
If column A already has display names like "Pricing Page" or "Homepage," you need Clarity data matched to those labels:
Look up each page name in column A against the URLs in column B, fetch Clarity rage click and dead click counts for the past 30 days for each matching URL, and write the results into columns C and D
Pull the full friction picture and flag the worst offenders in one shot
Export Clarity data for the past 30 days — write page URL, session count, rage click count, dead click count, and average scroll depth into columns A–E, sort by rage click count descending, and in column F write 'escalate' for any page where rage clicks exceed 8% of sessions or dead clicks exceed 15% of sessions
One prompt, one pass — sorted data and the flags your dev team needs to decide what goes into the sprint.
The pattern: describe the filter condition and the output shape together so SheetXAI handles the conditional logic inline rather than leaving it for you to add with formulas after the fact.
Try It
Get the 7-day free trial of SheetXAI and open the Google Sheet where you track UX issues or site friction — then ask it to pull this week's Clarity rage click data sorted by severity. For related tasks, see Build a Page Engagement Benchmark Sheet From Microsoft Clarity or the Microsoft Clarity integration overview.