For teams
Reduce sprint planning complexity while keeping the final decision visible.
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 Jira admins
Forge-first implementation with explicit permissions and controlled write-back.
Documentation Map
Getting Started
Open StoryScale in Jira, choose a sprint or JQL scope, and start a session.
Read setup flowEstimation Method
How readiness, comparisons, historical anchors, and guided calibration work.
Understand the methodPermissions & Data
Scopes, storage, Jira fields, and data boundaries for admin review.
Review data handlingInformation security policy
Plain-language controls for access, development hygiene, logging, and trust requests.
Read policyPublishing
How controlled Story Point write-back works and what is never modified.
Read publish guideFAQ
Common product, admin, and workflow questions.
Open FAQSupport
What to include when asking for help or reporting a problem.
Get support infoPrivacy Policy
What data is processed, for what purpose, and how to contact us for privacy requests.
Read privacy policySecurity Policy
How we handle incidents, vulnerability reports, and baseline security controls.
Read security policyTerms / EULA
License grant, termination conditions, governing law, and service terms.
Read terms