JiraIssue TrackingTeam Collaboration Index
Team Collaboration Index quantifies the quality and frequency of collaboration across Jira teams. It combines signals such as cross-team issue assignments, comment interactions on shared issues, linked issues between projects, and collaborative resolution of blockers.
Jira metric
Team Collaboration Index quantifies the quality and frequency of collaboration across Jira teams. It combines signals such as cross-team issue assignments, comment interactions on shared issues, linked issues between projects, and collaborative resolution of blockers.
Full guide: definition, formula, and benchmarksWhy Team Collaboration Index matters for Jira users
Effective collaboration between teams is essential for delivering complex products, but it is difficult to measure objectively. This index reveals whether teams are working together effectively or operating in silos that slow down delivery.
For Jira organisations, the collaboration index helps identify team pairs that collaborate well and those that need better communication channels or shared processes. It provides evidence for decisions about team structures, shared tooling, and communication practices.
Driver
Conversion rate
Outcome · 58% contribution
Revenue
Understand and act on Team Collaboration Index with KPI Tree
KPI Tree computes the collaboration index from cross-project Jira interaction data in your warehouse. Place this in your organisational health tree alongside cross-team dependency and capacity utilisation metrics.
Assign RACI ownership to engineering leadership for collaboration targets. Set alerts when the index drops, potentially signalling emerging silos.
Get started with your Jira data
MCPPull metrics from Jira directly through the Model Context Protocol.
Connect your existing warehouse where Jira data already lands.
Our professional services team can build you turn-key AI foundations in a matter of weeks. Data warehouse on Snowflake/BigQuery, ELT with Fivetran, all modelled in dbt with a semantic layer.
Related Jira metrics Ready to add to your trees.
Cross-Team Dependency Analysis
Issue TrackingCross-Team Dependency Analysis maps the network of issue links, blockers, and handoffs between different Jira projects and teams. It quantifies how often teams depend on each other and measures the impact of those dependencies on delivery timelines.
View metricTeam Capacity Utilisation
Issue TrackingCapacity Utilisation = (Allocated Story Points / Available Capacity) × 100
Team Capacity Utilisation measures the proportion of available team capacity that is actively allocated to Jira issues. It compares assigned workload against available capacity, accounting for team member availability, leave, and non-project commitments.
View metricUser Productivity Analysis
Issue TrackingUser Productivity Analysis examines individual contributor patterns in Jira, including throughput, cycle time, issue type distribution, and work consistency. It identifies productivity trends and factors that influence individual effectiveness, supporting coaching and team optimisation.
View metricEscalation Pattern Analysis
Issue TrackingEscalation Pattern Analysis examines how issues are escalated in Jira, including priority changes, reassignments to senior staff, and cross-team handoffs. It identifies recurring escalation triggers and measures the impact of escalations on delivery timelines.
View metricExplore Team Collaboration Index across integrations
All Jira metrics
Backlog Health AnalysisBlocked Time PercentageCode Review Cycle TimeComponent Quality TrendsCross-Team Dependency AnalysisCycle TimeDefect DensityEpic Progress TrackingEscalation Pattern AnalysisFlow EfficiencyIssue Age DistributionIssue Resolution RateLead TimePriority Distribution AnalysisRelease Burnup AnalysisSprint Burndown AnalysisSprint Commitment AccuracySprint Goal Achievement RateSprint VelocityStory Point Estimation AccuracyTeam Capacity UtilisationTechnical Debt RatioUser Productivity AnalysisVersion Release Success RateWorklog AccuracyEmpower your team to understand and act on Jira data
Map what drives your metrics, measure progress at any grain, prove what works statistically, and deliver personalised action plans to every team member.
