# Ask Analysts — Get Answers From Your Data in Plain English

> Ask a question the way you'd say it out loud and get the chart, the numbers and the SQL behind them. Works in Supaboard, Slack, Claude and ChatGPT, across 700+ connectable sources.

HTML version: https://supaboard.ai/product/ask-analysts

Type a question the way you'd say it out loud. You get back the chart, the numbers and the query that produced them, so you can check the answer before you act on it.

## The question is easy. Getting the answer isn't.

### You need SQL to ask anything

Everyone in the room has questions about the business. Two people in the building can write the query that answers them.

### Your answer is in someone's queue

A request that takes 30s to run waits days behind work an analyst already had.

### Nobody trusts a number they can't check

An answer with no query behind it gets argued about instead of acted on.

## Answers you can check

### Ask from the app you're already in

Tag the analyst in the Slack thread where the question came up and the answer lands in the thread. Claude, ChatGPT and anything else that speaks MCP reach the same analyst over the same read-only tool surface.

- Answer in the Slack thread that asked
- Claude, ChatGPT and any MCP client
- Read-only, so a chat can never change your data

### Every answer carries its query

Open an answer to see the sources it read, the query it ran and the steps it took. The disagreement moves from the number to the logic, which is where it can be settled.

- The SQL and Python it ran
- A confidence score on each answer
- Every step, in order

### Walk out with the deck, not the tab

The answer becomes the file the meeting needs. Ask once, get the spreadsheet, the slides or the PDF.

- Excel and CSV
- PowerPoint and PDF
- Custom HTML pages

## What an answer costs you now

| Figure | What it measures |
| --- | --- |
| 40% Fewer hallucinations | than a general-purpose model asked the same question of the same schema. |
| 99% Queries checked before they run | are validated and auto-corrected before they touch your database. |
| 30s From question to chart | Typical time to a finished answer, start to end. |

## FAQ

### What is Ask Analysts?

Ask Analysts is Supaboard's chat interface for your own data. You type a question in plain English, it writes and runs the query, and it returns a chart or a table along with the SQL it used.

### Do I need to know SQL?

No. You write the question, Supaboard writes the query. The SQL stays one click away for anyone who wants to read it, reuse it or argue with it.

### Can I ask from Slack or ChatGPT?

Yes. Supaboard installs into Slack, and exposes the same analyst to Claude, ChatGPT and any other MCP client over its MCP server. Every one of those surfaces is read-only, so a question asked from a chat can look at your data but never change it.

### How do I know the answer is right?

Every answer shows the sources it read, the query it ran and a confidence score. A tuned agent holds 97.8% accuracy in production.

### How long does setup take?

About 15 minutes. Connect one source from the 700+ catalogue and ask your first question. There is no modelling step to finish first.

## The other surfaces

- [Datasites](https://supaboard.ai/product/datasites): Describe the site you want. Supaboard builds it from your live data, styles it to your brand and puts it on a link you can send the same afternoon.
- [Dashboards](https://supaboard.ai/product/dashboards): Say what you want to track. Supaboard picks the charts, wires them to your data and hands back a board you can filter, embed and ask questions of.
- [Automations](https://supaboard.ai/product/automations): Set a question to run on Monday morning, or the moment a number crosses a line. The answer arrives already written up, as an email, a deck or a spreadsheet.
- [Query Builder](https://supaboard.ai/product/query-builder): A proper editor over every source you have connected, with autocomplete that has read your schema and a check that runs before your query does.
- [Agents](https://supaboard.ai/product/agents): Each agent carries a confidence score, an evaluation suite it has to keep passing, and 7 tuning surfaces — identity, knowledge, memory, rules, tables, verified queries and skills — under your control.

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