The Scenario
You are a sales ops analyst. Every week, the sales team asks the same fifteen data questions in Slack. "What was EMEA's top product last quarter?" "Which reps closed the most deals in March?" "How many accounts are in the negotiation stage right now?"
You have a Databricks Genie space called "sales-analytics" connected to the sales data warehouse. Genie can answer these questions in natural language. But you are answering them one at a time, copy-pasting the question into Genie, waiting for the result, copy-pasting the answer back into Slack.
The bad version of every Thursday:
- You read the questions from the weekly Slack thread
- You open Databricks, navigate to the Genie space
- You paste in question one, wait for Genie to process it, copy the answer
- You paste in question two, wait, copy the answer
- You do this fifteen times
- You spend ninety minutes doing something a machine should do.
The fast version is one prompt.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent inside your Google Sheet that can batch-send questions to your Databricks Genie space and write the answers back — so you process all fifteen questions in one operation instead of fifteen.
Open the SheetXAI sidebar and type:
For each question in column A of the GenieQuestions sheet, start a Genie conversation in space ID 'sales-analytics', send the question, wait for completion, and write the text answer into column B. Process all rows.
SheetXAI reads the questions in column A, sends each one to your Genie space, waits for the answer, and writes it into column B. You copy the answers into the Slack thread in one paste. Ninety minutes becomes five.
What You Get
The GenieQuestions sheet with column B populated:
- Each question in column A — unchanged
- Each answer in column B — the top-line answer from Genie for each question
The answers come from your actual warehouse data, not from memory or a cached export. The EMEA top product answer reflects what sold this week, not what sold last quarter when someone last checked.
What If the Data Is Not Quite Ready
Batch Genie workflows hit edge cases when some questions are ambiguous or when Genie returns more than a one-liner. SheetXAI handles them in the same prompt.
When some questions in column A are vague or incomplete
A few questions are written carelessly — "top products?" or "EMEA numbers?" — with no time range or metric specified.
For each question in column A of the GenieQuestions sheet, check whether it includes a time reference (last quarter, this month, etc.) and a specific metric. If either is missing, write "QUESTION INCOMPLETE — needs time range or metric" into column B and skip sending to Genie. For complete questions, send them to Genie space 'sales-analytics' and write the answer into column B.
When Genie returns a full table result and you want just the top-line number
Genie sometimes returns a table of values. For the Slack thread, you need a single sentence, not a table.
For each question in column A of the GenieQuestions sheet, send it to my Databricks Genie space 'sales-analytics' and retrieve the result. If the result is a table, extract the top row or the highest-value number and write a one-sentence summary into column B. If the result is already a sentence, write it directly.
When you want to log the SQL query Genie generated alongside the answer
The sales team has started asking how Genie gets its answers. You want to show them the underlying query.
For each question in column A of the GenieQuestions sheet, send it to Genie space 'sales-analytics,' retrieve the answer, and write it into column B. Also retrieve the SQL query that Genie generated for each question and write it into column C. Leave column C blank if no SQL is available.
When you want the batch run plus a summary slide generated from the results
The questions sheet is the input. The output the VP actually wants is a one-pager summarizing the answers in plain English — not fifteen individual Slack messages.
For each question in column A of the GenieQuestions sheet, send it to Genie space 'sales-analytics' and write the answer into column B. After all answers are collected, write a summary paragraph in cell D1 that synthesizes the key themes: which products are performing well, which regions are behind, and any notable trends that appear across multiple answers.
The pattern: instead of a weekly ninety-minute question-answering session, you maintain a living questions sheet and run one prompt to refresh all the answers.
Try It
Get the 7-day free trial of SheetXAI and open a Google Sheet with your recurring data questions in column A, then ask it to batch-send them to your Databricks Genie space and write the answers back. The Databricks integration is included in every plan. For more Databricks workflows, see how to run a SQL query and land results in a sheet or the Databricks in Google Sheets overview.