The Scenario
You are a product analytics manager. Your mobile app has 1,500 active Gleap sessions and your VP of Product wants a cohort breakdown by plan tier and device type by Monday morning.
The question is specific: 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, set your filters, and page through 1,500 records
- You realize there is no column for "tickets submitted per session" in the default view
- You export what you can to CSV
- You try to pivot the CSV in Google Sheets and realize session metadata is missing from the export
- Monday arrives and you have a partial answer with a footnote about data gaps.
The fast version is one prompt.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent inside your spreadsheet that fetches your Gleap sessions and writes them into a sheet you can analyse immediately.
Open the SheetXAI sidebar and type:
Export all Gleap sessions for this project into my sheet — 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 from Gleap, writes them into the sheet with the columns you asked for, and sorts by ticket count.
What You Get
A session table with:
- Session ID — for cross-referencing in Gleap
- User email and ID — for identifying users if follow-up is needed
- Plan tier — starter, growth, enterprise, or whatever your Gleap metadata uses
- Device type — mobile, desktop, tablet
- Last active date — so you can spot churning users alongside high-ticket-count ones
- Total tickets submitted — the metric your VP actually asked about
With 1,500 rows in a sheet, 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 across a large user base. SheetXAI handles it inline.
When plan tier is missing for some sessions
Some sessions have no plan metadata because users signed up before the field was added.
Export all Gleap sessions. For rows where plan tier is missing, label them "Unknown" in the plan tier column. Include all rows in the export, not just the ones with a plan set.
When you need ticket count per session but it is not a native field
Gleap does not return a "total tickets" field directly on the session object.
Export all Gleap sessions. For each session, also fetch the count of tickets associated with that session and write it to a column called "Ticket Count." This will require a separate API call per session — run it for all 1,500.
When you want to flag high-risk sessions
A high-risk session is one where the user has submitted more than 5 tickets and has not been active in 30 days.
Export all Gleap sessions with session ID, email, plan tier, last active date, and ticket count. Add a column G called "At Risk" and mark it TRUE for any session where ticket count is greater than 5 and last active date is more than 30 days ago. Sort by At Risk descending.
When you need a full cohort analysis: pull, enrich, flag, and summarize in one pass
The VP wants a summary table as well as the raw data.
Export all 1,500 Gleap sessions for this project. Write them to the Sessions tab — session ID, email, user ID, plan tier, device type, last active date, ticket count. Flag any session as At Risk where ticket count > 5 and last active > 30 days. 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: instead of pulling data and then doing the analysis in a second pass, you describe the full output in one prompt.
Try It
Get the 7-day free trial of SheetXAI and open a Google Sheet, 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 or the Gleap in Google Sheets overview.