Research & Knowledge

How founders use AI for Data Analysis

3 questions founders actually ask, each with a straight answer and the resources worth your time.

Why let AI analyze my data instead of learning Excel formulas or SQL? #

Because you can now just ask questions in plain English, "which customers churned last quarter and why?", and tools like ChatGPT and Claude write the formulas or code behind the scenes, in minutes instead of the months it takes to get good at Excel or SQL. As a founder, your scarce resource is time, and the insight matters more than the skill of producing it. The one caveat: AI can be confidently wrong, so you still want enough judgment to sanity-check what it tells you before betting the company on it.

How do founders get insights from CSVs, analytics, and surveys using AI? #

The basic workflow is: export your data (a CSV from Stripe, your analytics tool, or a survey), upload it to ChatGPT or Claude, and ask questions in plain English, the AI summarizes, spots trends, builds charts, and pulls themes out of hundreds of open-ended survey answers in minutes. For messier or recurring jobs, tools like Claude Code can read whole folders of files and produce full reports and dashboards. The key skills are asking specific questions, giving the AI context about your business, and spot-checking a few numbers by hand.

What can AI-in-spreadsheets (Claude in Excel, Gemini in Sheets) actually do? #

These tools sit inside your spreadsheet and work on it directly: Claude for Excel can clean messy data, write and debug formulas, explain how an inherited model works, and build multi-tab financial models with charts and dashboards from a plain-English prompt. In Google Sheets, Gemini can analyze your data conversationally, and the =AI() function lets you categorize, summarize, or generate text across a whole column. They're genuinely useful for 80% of founder spreadsheet work, but always review the output before it goes to an investor, because they can still make mistakes.