The Scenario
You run a wellness blog. Every quarter you publish a seasonal trends piece — sleep in winter versus summer, mood through the holidays, steps across the marathon training block. You have six months of Exist data and you want weekly averages for steps, sleep, and mood, charted in Google Sheets.
The Exist dashboard shows you weekly summaries, but it doesn't let you export them. You can see the numbers on screen. You can't pull them into a chart without transcribing them.
The bad version:
- Open Exist, navigate to the weekly summary for the first week, note the average values for each attribute, and type them into row 2 of your sheet
- Repeat for the next week. And the next. For 26 weeks across three attributes, that's 78 manual data entry events, each one requiring you to click into Exist, find the right week, read the right number, switch tabs, and type
- Discover halfway through that the "weekly average" Exist shows in the UI rounds to one decimal, but you need two — and now you're not sure whether to go back and re-check all 38 weeks you've already entered
The post goes up on Thursday. It's Tuesday afternoon.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent inside your Google Sheet. It reads the sheet, connects to Exist, and writes the historical weekly averages directly into your cells.
Fetch weekly averages for steps, sleep, and mood from Exist for the past 6 months and write week start date, steps average, sleep average, and mood average into my Google Sheet starting at A2, with headers in row 1
What You Get
- Row 1: headers — Week, Steps Avg, Sleep Avg, Mood Avg
- One row per week, with week start date in column A
- Each average rounded to 2 decimal places
- Roughly 26 rows covering the full 6-month window
- Data sorted chronologically, oldest first — ready to drop straight into a chart
What If the Data Is Not Quite Ready
You want all tracked attributes, not just the three specified
Fetch weekly averages for all my tracked Exist attributes for the past 6 months and write them into my Google Sheet — one column per attribute, one row per week, with attribute names as headers in row 1
Some weeks have incomplete data and you want to flag them
Pull weekly averages for steps, sleep, and mood from Exist for the past 6 months and write them into my Google Sheet — add a column "Days Tracked" showing how many days of data each week is based on, so I can flag weeks with fewer than 5 days
You want both the raw weekly average and a rolling 4-week average
Fetch weekly step averages from Exist for the past 6 months, write them into column A and B of my Google Sheet (week, avg), then add a column C with the 4-week rolling average calculated from column B
The full seasonal analysis in one shot
Pull weekly averages for steps, sleep, mood, and productive_time from Exist for the past 6 months into Sheet1 with one row per week, then in Sheet2 calculate the average for each attribute by month and write a month-by-month comparison table
You get the raw data and the summary in a single ask — chart-ready without a second pass.
Try It
Get the 7-day free trial of SheetXAI and open any Google Sheet where you're building a personal or client health dashboard, then ask it to pull your Exist weekly averages. For day-level data instead of weekly, see the spoke on exporting attribute values, or return to the Exist hub for all integration options.