Analyse a spreadsheet without knowing formulas

The problem

Small businesses run on spreadsheets, and most of the people who depend on them are not spreadsheet people. The data is there: orders, hours, stock, expenses. The question is simple, such as which products actually made money last quarter. Getting from one to the other means a lookup, a pivot, and a formula you half remember.

So the question does not get asked. Not because it is unimportant, but because answering it costs forty minutes and might produce a number you do not trust.

The second problem is repetition. The monthly report is the same operation every month, done by hand, with the same chance of a range being off by one row.

What AI can actually do here

Asking in plain language is the real change. Describing what you want and getting the calculation, rather than writing the formula yourself, removes the specific barrier that stops most people. Treat the result as a draft: check it against a number you already know before trusting it on something that matters, because a confidently wrong aggregate looks exactly like a right one.

Automatic refresh removes the repetition. Once a calculation is defined, the sheet pulls current data on a schedule instead of being rebuilt.

Where it goes further is the shift from spreadsheet to database. A spreadsheet lets any cell hold anything, which is why they rot: a date typed as text, a total that silently excludes a row. Structured fields prevent that class of error entirely, and the cost is that you have to define the structure once.

For anything you look at repeatedly, a saved question against a database beats a spreadsheet, because it cannot drift.

How the tools differ

Rows is the closest to a spreadsheet, with data imports and AI built in. The free plan needs no credit card and gives 5 AI tasks per month, manual data import only, 10 integration accounts, 3 guest members and 7-day version history. Plus is $6 per user per month billed annually with daily automation, Pro $59 per month plus $6 per user with automation every minute. Note that on the free tier the automation is manual, which is the thing you probably came for.

Airtable is the structured middle: a database that behaves like a spreadsheet, so bad data cannot be typed in. There is a free plan, Team is $20 per user per month billed annually and Business $45. Monthly pricing is not stated on their pricing page.

Metabase is for when the data lives in a real database and you want saved questions and dashboards. The Open Source edition is free with unlimited users, which is a genuinely strong option if someone can host it. Starter is $100 per month or $1,080 per year including 5 users, then $6 per user; Pro $575 per month.

Notion vs Airtable covers the structure question if you are also choosing where documents live.

When you don't need a tool

If you ask the question once a year, ask a bookkeeper or spend the forty minutes. Tooling pays back on repetition.

If your data is a mess, no tool will fix the analysis, because the answer will be wrong faster. Clean the source first, which usually means deciding what one row represents.

And if what you want is a live view of business numbers rather than ad-hoc questions, see see your numbers without a BI team.