How to Analyze Survey Results From a CSV With AI

Why survey CSVs are so hard to read

You ran the survey, closed it out, and exported the results. Now you have a CSV with one row per respondent and a column for every question — multiple choice, rating scales, and those long open-ended answers where people actually said what they think. Opening it in a spreadsheet gives you a wall of text, not insight. To properly analyze survey results CSV data, you usually need pivot tables, tangled formulas, or a data analyst on call. Most people have none of those on hand.

AskCSV changes that. It's a tool that lets you ask questions about your survey data in plain English and get answers and charts — with the arithmetic computed from a real SQL query over your file, and the query shown so you can see what was counted.

How your survey data is handled

This matters more for surveys than almost any other kind of data. Responses often carry names, emails, open comments, and opinions people shared in confidence, so here is exactly what happens to them.

Your file is opened in your browser and kept in this site's storage for your account or guest session; it is not uploaded. Questions are answered with read-only SQL over that local file, and the counts, averages, and shares in an answer come from the query result rather than from a model's reading of the rows. AskCSV keeps what the AI sees to a minimum: to write the SQL and explain the result, the AI provider (OpenAI) gets only your question, the file's name and row count, the columns you chose to share with up to 10 sample rows, up to 100 rows of each query result plus summary figures, and the earlier messages in the chat — never the file itself. Columns that look sensitive — emails, phone numbers, identifiers, comment or note columns, and long free text — start turned off; names and short text answers are not detected, so turn those off yourself if a question does not need them.

Guest credits expire 7 days after they are issued. Files and chats stay in this browser until you delete them or clear the site's data. The privacy policy lists every sub-processor, and the data-handling walkthrough explains what the AI provider sees.

How to analyze survey results CSV files

Here's the whole workflow, start to finish. Nothing needs to be installed or prepared first.

1. Open your survey CSV in the browser (or paste the data in). It is read on your device, not uploaded, and no account is needed to try it.
2. The AI sees the names and types of the columns you chose to share and up to 10 sample rows, so it can tell a rating column from a free-text column.
3. Ask a question in plain English, like "What's the average satisfaction score?" or "How many people chose each option?"
4. Read the answer, check the generated chart, and look at the SQL query behind it if you want to confirm what was counted.
5. Refine with a follow-up question until the story is clear.

That's it. No formulas, no pivot tables, and no chart wizard.

Working with open-ended answers

The hardest part of any survey is the free-text feedback. AskCSV answers with SQL, so it counts rather than reads: it is strongest when a question about comments can be counted. Try questions like:

• "How many comments mention pricing?"
• "What share of respondents left a comment?"
• "Show the comments that mention a refund."
• "Which option did people who left a comment choose most?"

The counts come from the whole file. To have the AI read comments at all, the comment column must be shared, and the comments a query returns then go to the AI — up to 100 rows (16 KB) per answer. A summary of those comments covers only the ones it saw, so for 300 comments, count by keyword first and read the matching rows in the result table.

Questions worth asking your data

A few more prompts to get you started:

• "Break down satisfaction by age group."
• "Which region gave the lowest ratings?"
• "How does the recommendation score compare across plans?"
• "Show me the trend in responses over time."

Answers include a chart where it helps, so a slide-ready visual is one question away. Trying it needs no account: guests get $0.25 of credits (about 5 answers). Sign in with Google to subscribe; your file stays in this browser either way. A $5/month subscription includes $5 of usage every month (about 100 answers), with extra credits from $10 (about 200 answers).

Try it with your own CSV

Making sense of survey data shouldn't require special software or a data team. Open the app, open your CSV, and start asking questions — no install, no sign-up, and every answer comes with the SQL behind it. Bring a survey export you are authorized to use to / and explore the results.