# Phases

## What are Phases in Vectice?

Phases help organize project objectives, ensure best practices, maintain consistency, and document knowledge.

{% hint style="info" %}
Phases can represent stages of the Data Science project lifecycle, like Business Understanding, Data Preparation, Modeling, Evaluation, and Deployment.
{% endhint %}

## Phase Features

<table><thead><tr><th width="164">Feature</th><th>Description</th></tr></thead><tbody><tr><td>Documentation</td><td>Document the milestones, assets, and results of each phase to present to stakeholders.</td></tr><tr><td>Iterations</td><td>View all completed and ongoing work for each phase. Track and manage iterations once they're in the Vectice app.</td></tr><tr><td>Requirements</td><td>Create requirements outlining the needs and goals for each phase to direct your team towards success.</td></tr><tr><td>Use requirements to structure future iterations</td><td>Requirements will be used as section titles and descriptions to guide your team's future iterations of a phase.</td></tr><tr><td>Reviews</td><td>Use reviews to track phase progress, share results, and get feedback from stakeholders and experts.</td></tr><tr><td>Duplicate phases</td><td>Duplicating a phase makes a new one in the project, keeping the documentation and requirements but not copying iterations and reviews.</td></tr><tr><td>Phase settings</td><td>Manage your phase by setting a phase owner and requirements.</td></tr></tbody></table>

## Phases best practices

* Update the phase status as work progresses to increase visibility into whether the phase is **Not Started**, **In Progress**, or **Completed**.
* Ensure each phase has an owner. The phase owner is responsible for requesting phase reviews.


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