AI · AI Data Analyst

Ask questions. Discover insights.

The AI Data Analyst is a chat assistant inside your dataset workspace. Ask about your data in everyday language and get clear summaries, trends and observations.

AI Data Analyst — Sample feedback dataset

Analyze my latest customer feedback.

Overall feedback trend is positive: average rating 4.4 / 5 across 120 sample responses.

What AI Data Analyst does

Open any dataset and ask the analyst a question, such as "Which topic gets the lowest rating?". It answers using statistics computed from your dataset, which helps you understand collected responses or imported spreadsheets without writing formulas.

AI answers can be imperfect; verify important numbers. Availability depends on your plan.

What can you do with it?

Conversational analysis

Ask follow-up questions in a chat, like talking to a colleague.

Trends

Understand how values change across categories or time.

Patterns

Find the groups, topics or values that stand out.

Summaries

Get a short overview of a large dataset.

Insight suggestions

Receive observations worth a closer look.

Works with your data

Use it on form responses and imported Excel or CSV datasets.

How does it work?

1
Collect responses with a form or import an Excel/CSV file.
2
Open the dataset in your workspace.
3
Open the AI analyst panel and type a question.
4
Read the answer and ask a follow-up to go deeper.
5
Build a dashboard for the findings you want to keep.

See it in action

Product preview with sample data.

AI Data Analyst — Sample feedback dataset

Analyze my latest customer feedback.

Overall feedback trend is positive: average rating 4.4 / 5 across 120 sample responses.

Real-world use cases

Students

Understand survey results for a project report.

Teachers

Summarize class feedback in minutes.

Business owners

See what customers say most often.

Professionals

Prepare quick talking points before a meeting.

Developers

Explore a dataset before writing analysis code.

Analysts

Get a first read on new data before deeper work.

Teams

Agree on what the data says from one shared answer.

Individuals

Make sense of personal tracking spreadsheets.

Key benefits

Plain language

No formulas or query language needed to start.

Faster first look

Move from raw rows to key observations quickly.

Better questions

Follow-ups help you understand why, not just what.

Stays with your data

Answers are based on the dataset you open.

Frequently asked questions

What data does the analyst use?

The dataset you have open. It works from computed statistics and aggregates.

Are AI answers always correct?

AI can make mistakes. Treat answers as a starting point and check important figures in the table or a dashboard.

Do I need to write formulas?

No. Just type your question.

Is it available on every plan?

AI features depend on your plan. See the Pricing page.

Ready to try AI Data Analyst?

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