> ## Documentation Index
> Fetch the complete documentation index at: https://docs.usedaymark.io/llms.txt
> Use this file to discover all available pages before exploring further.

# Introduction

> Learn how Daymark helps teams explore data, ask better questions, and make confident decisions using AI.

## What is Daymark?

Daymark is an AI-powered data exploration platform that helps teams ask questions in plain language and instantly get clear, actionable insights from their data.

Instead of writing SQL, building dashboards from scratch, or waiting on analysts, Daymark lets you explore your data conversationally — turning everyday business questions into visual answers.

Daymark is built for speed, clarity, and decision-making.

***

## Who is Daymark for?

Daymark is designed for teams that work with data but don’t want to wrestle with it.

* **Product Managers** exploring usage, retention, and feature impact
* **Founders & Leaders** tracking growth, revenue, and performance
* **Analysts** accelerating exploration and reducing repetitive queries
* **GTM & Ops teams** answering questions without engineering support

If you can ask the question, Daymark helps you find the answer.

***

## How Daymark works

At a high level, Daymark helps you move from **question → insight** in minutes:

1. Connect your data sources (databases, spreadsheets, or CSVs)
2. Ask questions in natural language
3. Daymark interprets your intent and queries your data
4. Results are returned as tables, charts, or summaries
5. Save, share, and build dashboards from your insights

You stay focused on **what to learn**, not **how to query**.

***

## Get started in minutes

The fastest way to experience Daymark is to follow the Quickstart.

<Card title="Quickstart" icon="rocket" href="getting-started/quickstart" horizontal>
  Connect your data, ask your first question, and explore your first dashboard.
</Card>

***

## What you’ll find in the documentation

This documentation is organized to help you succeed quickly and then go deeper when needed.

<Columns cols={3}>
  <Card title="Getting Started" icon="play" href="/getting-started/quickstart">
    Set up Daymark, connect your first data source, and get your first insight.
  </Card>

  <Card title="Tutorials & Guides" icon="book" href="/tutorials/connect-postgresql">
    Step-by-step guides for connecting data, building dashboards, and best practices.
  </Card>

  <Card title="Glossary" icon="list" href="/glossary/glossary">
    Definitions of key terms used throughout Daymark and this documentation.
  </Card>
</Columns>

***

When you’re ready, start with the Quickstart and explore from there.
