Engineering Throughput & Sprint Predictability

Meridian Labs · Logistics SaaS · 4 Squads / 28 Engineers

Story point velocity charts reward gaming and hide structural flow problems. This dashboard reframes throughput as a predictability signal: commitment reliability, cycle time distribution, PR review queue depth, and escaped defect rates by squad.

Updated
2024-01-15
Sprint Commitment Reliability
78%
+7% vs Q3
Cycle Time Per Story Point
0.94d
−0.18d improved
Work-in-Progress Ratio
2.8/dev
Healthy
PR Review Throughput P90
6.2h
−2.1h faster
Carryover Debt Rate
14%
+3% vs target
Escaped Defect Rate
4.1%
Payments 8.4%

Cycle Time Breakdown by Stage (Median Days)

Squad × Sprint Reliability Heatmap (%)

S1
S2
S3
S4
S5
S6
S7
S8
Payments
67
62
58
71
69
54
66
74
Platform
89
92
87
91
88
94
90
93
Analytics
76
79
82
77
81
84
83
86
Mobile
72
75
73
78
76
80
79
82
≥85%
70–84%
60–69%
<60%

Throughput Trend (Points/Sprint, Normalized)

Scope Creep Index by Squad (% Added Mid-Sprint)

WIP Ratio vs Cycle Time Correlation

Flow Efficiency (Active vs Wait Time)

68%
Active Time Percentage
32% Wait Time · Target ≥70%

Sprint Detail (Last 8 Sprints)

Sprint Squad Committed Completed Reliability % Carryover Pts Added Mid Escaped Defects Avg Cycle (d)
S8 Platform 58 54 93% 4 2 1 0.71
S8 Analytics 42 36 86% 6 3 2 0.89
S8 Mobile 39 32 82% 7 4 1 1.02
S8 Payments 35 26 74% 9 8 3 1.24
S7 Platform 55 50 90% 5 1 1 0.76
S7 Analytics 41 34 83% 7 2 1 0.91
S6 Payments 37 20 54% 17 11 6 1.58
S5 Platform 52 46 88% 6 3 2 0.82

Key Insights

ALERT

Payments squad escaped defect rate spiked to 8.4% in Sprint 6 after test suite disabled during infra migration — immediate remediation required.

WIN

Platform squad leads deploy frequency at 9.1/week post-CD refactor, driving 93% sprint reliability and 0.71d cycle time.

WATCH

Carryover debt rate trending +3% above 11% target — Mobile and Payments squads carrying 7–9 points/sprint, signaling chronic over-commitment.