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Executive Summary
Release Intelligence · GitHub Analysis
Key Finding
Issues logged per fortnight — inflow trend
Total merged PRs (Backend + Frontend) — proxy for engineering change velocity
Per-fortnight volume
✅ Pace
📈 Concentration
🔧 Severity
Overview
Section 1 — Severity
Stacked by severity across bi-weekly periods
Tracks highest-severity issues per period — key risk indicator
Section 2 — Engineering Throughput
% of tickets with Status = Done within each period
Count of non-Done tickets by status category
Section 3 — Direction of Travel
Actual bug count per bi-weekly period with trendline
Bug % change vs previous period
% of bugs that are Critical or High priority each period
Each functional area shown separately across all 6 periods
Section 4 — Critical Load Concentration
Top 10 clients — which clients carry the most critical load
Top 10 functional areas — which areas attract the highest-severity issues
Section 5 — Product Engineering Focus
Top 9 issue labels + Other as doughnut
Stacked bar — which areas were most affected each period
Section 6 — Customer Impact
Horizontal bar sorted by total issue count (excl. "All")
Stacked bar — which clients drove volume each period
Section 7 — Nature of Problems
Stacked count by issue type across all periods
Count of each type per period — spot shifts in the mix
100% stacked — share of bugs vs all other types each period
All-time breakdown across all filtered issues
Section 8 — Volume Context
Bi-weekly issue volume
Running total — shows overall pace of issue reporting
Section 9 — Operational Detail
Repository split across periods
Breadth of impact — distinct clients raising issues
Issue count by priority (row) and type (col) — darker = higher