The Scenario
It's the third time this month you've pulled this exact data. You're the M&E officer for an NGO running a household health program across four districts, and every time the program director needs a coverage update for the donor report, the request lands on your desk with a short turnaround. You open CommCare HQ, navigate to the household visit report, download the CSV, repeat for the clinical referral report, repeat for the community screening report. Then you open the master sheet and start aligning district codes across three files, because CommCare names the districts one way and your sheet names them another.
The bad version:
- Download three separate CommCare report CSVs, clean the column headers in each, and paste them into three different tabs in the sheet before you can begin the merge
- Write VLOOKUP formulas across all three tabs to join on district code, discover that two districts appear with slightly different spellings in different reports, fix those by hand before the formula returns anything useful
- Calculate coverage rates manually in a fourth tab, only to find that the denominator — total registered households — lives in a fourth CommCare report you forgot to pull
The report is going to the program director and then to the donor. Getting the districts wrong, or missing a report, is not something you can quietly fix after the fact.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent inside your Google Sheet. It reads the data you have, talks to CommCare directly through its built-in integration, and pulls what you need without requiring you to touch the export UI. Embed the video here:
The prompt for this task:
List all available reports in my CommCare project 'HealthProgram2025' and write the report names and IDs into column A and B of the 'Report Index' tab. Then download data from CommCare report IDs rpt_001, rpt_002, and rpt_003 and paste each into tabs 'HH Visits', 'Referrals', and 'Screening' respectively, starting at row 2 with original headers in row 1.
What You Get
- The 'Report Index' tab fills with report names in column A and CommCare report IDs in column B, one row per report in the project.
- Each of the three data tabs populates with the CommCare report rows starting at A2, with the original CommCare column headers in row 1.
- Column headers are preserved exactly as CommCare returns them, so your downstream VLOOKUP and COUNTIFS formulas can reference real field names.
- If a report ID returns no rows (empty date range, filter mismatch), the tab gets the header row and a note in A2 indicating no data was returned.
What If the Data Is Not Quite Ready
The district names in CommCare don't match your master reference tab
Download data from CommCare report rpt_001 into the 'HH Visits' tab, then look up each value in column B (district name) against column A of my 'District Reference' tab and write the matched canonical district code into column C. Flag any rows where no match is found with "UNMATCHED" in column C.
Two of the three reports cover overlapping date ranges and you need to deduplicate
Merge the data in tabs 'HH Visits', 'Referrals', and 'Screening' into a new tab called 'Combined', joining on the household ID in column A. Where the same household ID appears in multiple tabs, keep one row and bring across all columns. Mark the source report in a new column Z.
The coverage rate calculation needs a denominator from a fourth report you haven't pulled yet
Download CommCare report rpt_004 into a tab called 'Registered HH', then in the 'Coverage' tab calculate the coverage rate for each district by dividing the count of rows in 'HH Visits' with a matching district code by the total registered households in 'Registered HH', and write the rate as a percentage in column C.
Full kill chain: pull all reports, clean district names, calculate coverage, flag anomalies
Download CommCare reports rpt_001 through rpt_004 into tabs named 'HH Visits', 'Referrals', 'Screening', and 'Registered HH'. Standardize district names in each tab against the 'District Reference' tab, flagging unmatched rows. In the 'Coverage' tab, calculate coverage rates by district and highlight in red any district where coverage is below 60%.
Every prompt that combines cleanup with analysis saves you a round-trip. That's the pattern that makes quarterly reporting something you finish before lunch.
Try It
Open a Google Sheet with your CommCare report IDs or a partially built donor report, then Get the 7-day free trial of SheetXAI and ask it to pull the data and build the coverage table. See also: Bulk Invite Field Workers as CommCare Web Users From a Google Sheet and the CommCare integration overview.