The Scenario
You are a product analytics manager. Your mobile app has 1,500 active Gleap sessions and your VP wants a cohort breakdown by plan tier and device type by Monday morning.
The question: which plan tiers are submitting the most tickets per session, and is there a device type correlation?
The bad version of the weekend:
- You open Gleap's session list and filter by project
- There is no "tickets per session" column in the default view
- You export what you can to CSV, open it in Excel, and realize session metadata is missing
- Monday arrives and you have a partial answer with a note about data gaps.
The fast version is one prompt.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent inside your Excel workbook that fetches your Gleap sessions and writes them into a tab you can analyse immediately.
Open the SheetXAI sidebar and type:
Export all Gleap sessions for this project into the Sessions tab of this workbook — columns for session ID, user email, user ID, plan tier, device type, last active date, and total tickets submitted. Sort by total tickets descending.
SheetXAI fetches all 1,500 sessions and writes them into the Sessions tab with the columns you described.
What You Get
A session table with:
- Session ID — for cross-referencing
- User email and ID — for identifying users
- Plan tier — starter, growth, enterprise
- Device type — mobile, desktop, tablet
- Last active date — for spotting churn risk
- Total tickets submitted — the metric your VP asked about
With 1,500 rows in a workbook, a pivot table takes two minutes. Ask SheetXAI to build one and it creates a plan tier × device type matrix with average ticket counts.
What If the Data Is Not Quite Ready
Session metadata is often inconsistent. SheetXAI handles it inline.
When plan tier is missing for some sessions
Export all Gleap sessions to the Sessions tab. For rows where plan tier is missing, label them "Unknown." Include all rows, not just the ones with a plan set.
When ticket count is not a native field on the session object
Export all Gleap sessions to the Sessions tab. For each session, also fetch the count of tickets associated with that session and write it to a column called "Ticket Count."
When you need to flag high-risk sessions
Export all Gleap sessions to the Sessions tab with session ID, email, plan tier, last active date, and ticket count. Add a column G called "At Risk" and mark it TRUE for sessions where ticket count > 5 and last active date is more than 30 days ago. Sort by At Risk descending.
When you need a full cohort analysis in one pass
Export all 1,500 Gleap sessions for this project to the Sessions tab — session ID, email, user ID, plan tier, device type, last active date, ticket count. Flag At Risk sessions. Then build a summary table in the Summary tab: rows are plan tier, columns are device type, cells are average ticket count. Add a row at the bottom showing total At Risk sessions per plan tier.
The pattern: describe the final output — raw data plus summary — and get both in one prompt.
Try It
Get the 7-day free trial of SheetXAI and open an Excel workbook, then ask it to pull all your Gleap sessions with ticket counts. The Gleap integration is included in every SheetXAI plan. For a related workflow, see how to export Gleap bug tickets for sprint triage in Excel or the Gleap in Excel overview.