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See how engineering leaders use Devstats to improve their team output
Each use case shows the exact workflow signals DevStats surfaces, and the specific improvements teams achieve when they act on them.
See how reports work, how key signals surface, and how teams use them daily.
#1 BENCHMARKING
See exactly where your workflow
falls behind + how to fix it now
DevStats gives you a clear baseline across speed, collaboration, delivery rhythm, and innovation. You see exactly where you’re ahead, behind, and what to fix first.
It gives leaders a baseline they can share internally without debate
Where the biggest drag is
Where your team is strong
Time spend new work vs KTLO
A baseline everyone agrees on
Watch How it Works
Reports showing your real workflow performance
PR Cycle Time
Shows how long work takes from start to merge.
Throughput
Tracks how much work your team completes weekly.
Reviews per Dev
Reveals uneven review load across the team.
Commits per Week
Shows how long work takes from start to merge.
Issue Cycle Time
Highlights how quickly issues move to done.
Innovation Allocation
Shows how much time goes to new work vs KTLO.
#2 PR FLOW
Find the real bottlenecks slowing your PRs & ship faster
Teams often assume coding is the bottleneck. DevStats shows the real one (usually review time, queue aging, or PR size) so you know exactly what’s blocking merges.
Fix the slowest PR step and merge faster
Reduce PR size to speed up reviews
Balance reviewer load using real workload data
Shorten cycle time by removing hidden bottlenecks
Watch How it Works
The PR blockers you couldn’t see before
(Devstats surfaces them instantly)
Review Wait Time
How long PRs sit untouched before anyone reviews them.
Queue Aging
Which PRs have been idle the longest and are slowing merges.
PR Size → Merge Speed
How lines changed actually impact cycle time.
Review Load Imbalance
Who carries most of the review burden, and who barely reviews.
#3 REAL-TIME BLOCKER DETECTION
Spot stalled word before it affects the releases
What you will see when you log in:
Branches that haven’t moved in days
Issues labeled “in progress” but actually idle
WIP far above team capacity
Work aging faster than safe thresholds
Watch How it Works
DevStats surfaces aging branches, idle issues, and overloaded WIP so you know exactly where work has stopped, before it derails a sprint or release.
See risks before work derails
Unblock flow without guessing
Keep delivery steady over time
“We stopped getting surprised by hidden blockers. DevStats flags stalled branches early enough to keep the sprint on track.”
Alex M.
Director of Engineering
#4 SPRINT ACCURACY
Finally, Fix the Real Issues Behind Missed SprintsSee exactly where your workflow
Teams often feel sprints are unpredictable. Now you get a clear view of whether your Scrum process actually works, and where you’re losing predictability.
The sprint signals you were missing before
Your true planning accuracy
How much planned work was actually delivered.
Carryover from past sprints
Which work keeps slipping and why.
Unplanned work added mid-sprint
How much new work disrupts your plan.
Team load vs. sprint capacity
Whether the sprint was overloaded from the start.
Here's what improves once DevStats shows you the missing sprint signals:
DevStats gives you a clear baseline across speed, collaboration, delivery rhythm, and innovation. You see exactly where you’re ahead, behind, and what to fix first.
Carryover drops once you see which work consistently slips
Sprint delivery stabilizes when unplanned work is tracked
Planning accuracy rises when capacity is based on actual load
Retros improve because slip points are already identified
Watch How it Works
#5 ENGINEERING INVESTMENT OPTIMIZATION
See Where Engineering Time Actually Goes
DevStats shows how effort splits across KTLO, New Work, Improvements, and Productivity so you can align engineering focus with business needs.
KTLO shrinks once the maintenance load is visible
Roadmap work increases with clear investment ratios
Planning improves when effort is measured weekly
Rebalancing becomes objective, not reactive
Watch How it Works
Word around town is...
“We thought most time went to features, DevStats showed 75% was KTLO.”
Alex M.
Director of Engineering
“We finally know where the engineering budget is actually spent.”
Jonas K.
Engineering Manager
“I didn’t realize how much work we were rebalancing blind.”
Priya K.
VP of Product
#6 DORA & SNAPSHOT METRICS
Track DORA instantly. No CI/CD setup required.
DevStats pulls deploys, lead time, change failure rate, and MTTR straight from Git, so you can start tracking DORA today without scripts or config. If you want more control, you can also send custom CI/CD events through our API.
What do DORA metrics show you?
Actual deploy frequency instead of estimates
Real lead time from first commit to production
How often deploys cause failures
Exact recovery time for every incident
Watch How it Works
Based on the Google-backed DORA research used by 30,000+ teams annually, worldwide.