StoryScale docs

Documentation for comparative estimation in Jira.

Everything a buyer, Jira admin, or Agile team needs to understand how StoryScale works, what data it uses, and how estimates are published.

What StoryScale Does

StoryScale helps Agile teams estimate a bounded slice of Jira work by comparing stories relative to each other instead of debating isolated point values. It imports issues, checks readiness signals, builds a live complexity ranking, calibrates estimates, and publishes approved Story Points back to Jira.

For teams

Reduce sprint planning complexity while keeping the final decision visible.

For Jira admins

Forge-first implementation with explicit permissions and controlled write-back.

Documentation Map

Start

Getting Started

Open StoryScale in Jira, choose a sprint or JQL scope, and start a session.

Read setup flow
Method

Estimation Method

How readiness, comparisons, historical anchors, and guided calibration work.

Understand the method
Trust

Permissions & Data

Scopes, storage, Jira fields, and data boundaries for admin review.

Review data handling
Jira

Publishing

How controlled Story Point write-back works and what is never modified.

Read publish guide
Help

FAQ

Common product, admin, and workflow questions.

Open FAQ
Support

Support

What to include when asking for help or reporting a problem.

Get support info