Jira Metrics

Engineering Flow

AI-first executive view · Custom scope · last 30d

AI Bottom Line

AI-narratedcached· 2026-07-21 09:39 UTC

Flow is effectively stalled this period: no issues were completed or deployed, while active and blocked work remain high.

AI ROI: data insufficient for the last 30d. 1 project in scope, none with stable AI vs Human cohort (n≥10 both sides) on Lead Time.
Investigate per project →

Headline KPIs · last 30d

Issues done
0 100.0%
no trend
AI participation
0.0% 100.0%
no trend
Lead Time (active)
no trend
Cycle Time (active)
no trend

AI insight

  • Where AI helps:None observable in this period: AI participation is 0% and there are no AI-owned completed samples.
  • Where AI hurts:AI is not affecting outcomes here because there is no recorded AI activity or ownership in scope.
  • Next focus:Triage and close or reclassify long-stuck In Progress items, then review the blocked queue as a separate recovery action.

AI in teams · 0 teams

No teams in scope have AI involvement in this window. As soon as an AI agent assignment, comment, transition, or reporter shows up, this section populates.

Active bottlenecks · top 5

Workflow stageRelative wait timeMedian time
In Progress
718.8dp50
On Hold
71dp50
In Testing
57.6dp50

Top teams · by throughput

KeyTeamThroughputLead Time (active)Cycle Time (active)Active WIPBlocked WIPAI %
No teams in scope.

Data quality amber

Sync freshness1/1 synced
Latest sync1/1 OK
Config coverageall configured
PR linkageno PR data

Report version: engineering-flow.v8 · metric definitions: 2026-05-24.audit18.v1

Period: 2026-06-222026-07-22 · scope: Custom scope (1 project)

Detail view (/overview) → — full per-metric tables, AI Period comparison, longest-stuck list.

155 tickets excluded — managed centrally.