Individual & Team Insights

Engineering metrics that explain how work moves. Individual and team insights show your team's velocity: throughput, review speed, workload, and delivery, for the whole team and for each engineer.

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Velocity, with the detail behind it.

Individual & team insights to understand your team's velocity.

Team Metrics · Payments team · Team, last 14 days

Team

Total PRs merged4612% more than last week
PRs merged per engineer5.8
Review response time (mean)3h 20m
Publish to merge time (mean)1d 4h

User Weekly Stats

User	PRs merged	PRs reviewed	Wait time to first review
Priya S.	7	9	2h 10m
Marco D.	6	4	5h 45m
Lena K.	4	11	1h 30m
Sam O.	5	2	9h 05m

Sam's pull requests wait longest for a first review. The review load chart shows who picks them up.

Team Metrics · Payments team · Per engineer

Per engineer

The team dashboard shows throughput and review speed, compared with the previous week. The user view shows each engineer's activity, focus, and pull requests.

Filter by team, provider, and repository
Activity, focus, and pull requests
Week-over-week comparison

User view · Priya S.Activity · Focus · Pull requests

PRs merged7
PRs reviewed9
Active tasks3
Jira transitions14

Team Metrics · Payments team · Flow

Flow

Pickup time, cycle versus idle time, and time to merge versus review latency show where pull requests stall, so you can fix the process instead of guessing.

Pickup time by day and hour
Cycle time vs idle time
Time to merge vs review latency

Pickup time (median)4h 10m
Wait time to first review6h 30m
Cycle time (average)2d 3h
Idle share of cycle31%

Pull requests opened on Friday afternoon wait longest for pickup.

Team Metrics · Payments team · Workload

Workload

The investment split shows how much work goes to bugs versus features, and the review load chart shows who reviews whose code, so one person does not quietly carry the team.

Bug vs. story split
Who reviews whose code
PR size distribution

Investment splitLast 14 days

Work type	Share	vs previous
Story	58%	+4 pts
Bug	31%	−3 pts
Task	11%	−1 pt

Lena reviews 40% of the team's pull requests.

Team Metrics · Payments team · Review health

Review health

See which pull requests merged without a review, how open pull requests look, and how CloudAEye reviews compare with human ones.

Merged without review
Open PR quality
CloudAEye vs human reviews

14 pull requests merged without reviewReviewAll in billing-service
26 open pull requests over 800 linesSplitHard to review well
3CloudAEye reviewed 92% of PRs before a human didHealthyUp from 85%

Visibility to coach,
not to rank.

A count of closed tickets says little about how work moves. CodeCortex connects pull requests, reviews, and Jira activity, so you can see where work flows, where it waits, and who is carrying too much.

Monitor productivity and impact.

Track individual and team productivity, work patterns, task completion, throughput, and engineering contributions to understand performance and identify opportunities for improvement.

Team viewThroughput and review speed
Per engineerActivity, focus, pull requests
Compared withThe previous week

See an example

Spot trends and workload imbalances.

Analyze delivery trends, workload distribution, bug vs. feature work, and collaboration patterns to identify bottlenecks, capacity constraints, and resource allocation opportunities.

Investment splitBugs vs. stories
Review loadWho reviews whose code
IncludesPR size distribution

See workload and flow

Plan sprints you can deliver.

Analyze historical delivery metrics, task completion, cycle times, and engineering trends to improve sprint planning, allocate work effectively, and identify potential delivery risks.