Complexity Prism Documentation
Complexity Prism helps teams assess how effectively AI tools can handle work tracked in Jira. The app introduces two core concepts:
- AI Complexity Score - a team-voted signal from 1 to 5 that captures how ready a ticket is for AI-assisted delivery
- AI Blockers - structured reasons why AI may struggle, such as missing documentation, weak acceptance criteria, or complex integration points

What You Can Do
- Run collaborative voting sessions directly inside Jira issues
- Reveal scores and discuss divergence with your team
- Capture blockers and notes explaining why complexity is high
- Save final results back to Jira custom fields
- Use Quick Score for async workflows without live sessions
- Review active sessions from project and global dashboards
No external backend
Complexity Prism stores all data in Jira custom fields and entity properties. There is no external database or external analytics pipeline for customer issue data. Key Screens
Voting Session
Participants vote privately. The facilitator reveals scores when the team is ready.

Quick Score
Save a score without running a live session using the async Quick Score workflow.

Dashboards
Review active sessions and complexity trends at both project and cross-project levels.

Documentation Sections
Getting Started
Installation, team member workflows (voting, Quick Score), and facilitator workflows (sessions, reveal, blockers).
Admin Setup
Field mapping, behavior settings, privacy, dual-track estimation, custom blockers, and project/global dashboards.
Security
Where app data is stored, what is retained, how permissions are enforced, and what the architecture does not send outside Atlassian.
Quick Links
- Getting Started - Install, vote, facilitate, and run your first session
- Admin Setup - Field mapping, dashboards, dual-track, and privacy settings
- Security - Architecture, data storage, permissions, and retention