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

# Quests Overview

> Understand quests — Fusion's product object for configuring and running a study.

A **Quest** is Fusion's product object for configuring and running a **study**. It bundles together the pieces your study needs: optional prompts for recurring data collection, experiments for interactive tasks, onboarding for consent and screening, health data configuration, participant operations, and collected datasets.

## Quest Anatomy

Every quest contains a configuration object with the following components:

| Component                  | Required? | Description                                                                                                                                       |
| -------------------------- | --------- | ------------------------------------------------------------------------------------------------------------------------------------------------- |
| **Prompts**                | Optional  | Recurring questions delivered on a schedule. See [Prompts](/prompts/overview).                                                                    |
| **Onboarding Questions**   | Optional  | Pre-join screening questions for eligibility. See [Onboarding](/onboarding/overview).                                                             |
| **Onboarding Overview**    | Optional  | Rich HTML consent language shown before questions. See [Full-Text Overview](/onboarding/full-text-overview).                                      |
| **Experiments**            | Optional  | Interactive jsPsych tasks. See [Experiments](/experiments/overview).                                                                              |
| **Health Data Config**     | Optional  | Toggles for collecting `steps`, `sleep`, and `heart_rate` from wearables.                                                                         |
| **Assignment**             | Optional  | Python script for counterbalancing / conditional experiment assignment. See [Ordering & Assignment](/experiments/ordering-and-assignment).        |
| **Analysis Scripts**       | Optional  | Python scripts that run against collected datasets for quality checks, metrics, and processing. See [Analysis Scripts](/quests/analysis-scripts). |
| **Post-Experiment Script** | Optional  | Python code to run after experiment completion.                                                                                                   |

Researchers can also use the quest workspace to:

* review participants and cohort assignments
* update participant lifecycle status
* monitor collected datasets
* configure a compact baseline / follow-up schedule for cohorts
* review simple due / overdue compliance state

<Info>
  Prompts are no longer required to create or save a quest. This means you can run experiment-only, onboarding-only, or recording-focused studies without adding scheduled surveys first.
</Info>

## Quest Lifecycle

1. **Draft** — Quest is created and saved but not yet visible to participants
2. **Published** — Quest is live and accessible via its URL (consumes credits — see [Pricing](https://usefusion.ai/pricing))
3. **Participant operations** — Researchers manage participants, cohorts, and schedule/compliance state
4. **Data collection** — Participants submit prompts, onboarding responses, experiments, recordings, and health data
5. **Unpublished** — Quest is taken offline; existing data is preserved

## Organization Scope

Every quest belongs to an **organization**. When creating a quest, you select the organization using a dropdown. All billable actions on the quest (publishing, participant joins, data submissions) are charged to the quest's organization.

<Info>
  You must create an organization before creating a quest. See [Creating an Organization](/organizations/creating-an-org) to get started.
</Info>

## Data Types Collected

| Dataset Type           | Source       | Description                                         |
| ---------------------- | ------------ | --------------------------------------------------- |
| `prompt_responses`     | Web / Mobile | Answers to recurring prompts                        |
| `onboarding_responses` | Web / Mobile | Answers to onboarding questions (free — not billed) |
| `experiment_trials`    | Web / Mobile | jsPsych experiment results (stored in Azure Blob)   |
| `brain_recordings`     | Web / Mobile | EEG recordings from Neurosity Crown or Muse         |
| `health`               | Mobile       | Steps, sleep, heart rate from wearables             |

## Next Steps

<CardGroup cols={2}>
  <Card title="Creating a Quest" icon="plus" href="/quests/creating-a-quest">
    Step-by-step guide to building your first quest.
  </Card>

  <Card title="Participant Journey" icon="users" href="/quests/participant-journey">
    See how participants move from onboarding into prompts, experiments, and study activities.
  </Card>

  <Card title="Prompts" icon="bell" href="/prompts/overview">
    Configure recurring data-collection questions.
  </Card>

  <Card title="Onboarding" icon="clipboard-check" href="/onboarding/overview">
    Set up consent and eligibility screening.
  </Card>

  <Card title="Experiments" icon="flask" href="/experiments/overview">
    Add interactive jsPsych experiments.
  </Card>

  <Card title="Analysis Scripts" icon="code" href="/quests/analysis-scripts">
    Automate data analysis with Python scripts.
  </Card>
</CardGroup>