for engineering leaders

Stop losing €5K
per engineer
on hidden delays.

Most delays aren't in your code. They're in waiting, handovers, and overload. Agile Analytics shows you where engineering productivity leaks — and how to get it back.

See where you're losing time →Start a workshop
Grounded inDORASPACESLOs · Error budgets
// the AA way · live
DevExAGILEExOpsExbottleneckCODE · BUILD · TESTDEPLOY · RUN · OBSERVE
One loop. Three lenses. Real engineering productivity.
02 · The problem

Most delays aren't where you think.

Hidden bottlenecks cost more than you realise. Three patterns drain almost every engineering team — and none of them appear on a CI dashboard.

01 / Pipeline

Slow feedback loops

Builds, tests, and deployments take too long.

Developers wait instead of ship.
02 / People

Handoffs

Work gets stuck between teams.

Delays hide in ownership and coordination.
03 / Cognitive

Cognitive overload

Too much context, too many interruptions.

More mistakes, slower delivery.
03 · The cost — blocked devops loops cost you

€5K

per engineer · per year · per 30min of daily delay

30 min
Blocked per engineer, per day — across builds, approvals, and waits
×100
Engineers in a mid-size org — half a million euros, quietly
€500K
Annualised drain — doesn't appear in any P&L line
04 · The switch

No more costly delays.

Flip the switch and see what changes when Agile Analytics is on. Same team, same tools — just no hidden waiting time.

Agile Analytics
click me
— OFF —Most delay isn't in code — it's waiting for builds, approvals, tests and deployments
— OFF —Most incidents causing slowness or downtime aren't random — they're systemic
— OFF —Most teams optimise pipelines — Agile Analytics optimises flow
05 · Engineering productivity

One platform. Three perspectives.
One continuous loop.

Most tools show DevOps metrics. Agile Analytics connects how work flows through your entire system — from intent to incident, around the loop.

All lensesAgileExDevExOpsEx
live · sprint 47
PlanCodeBuildTestReleaseReviewRefineBacklogDeployRunObserveAlertResolvePostmortemSLOLearnENGINEERING84%HOUR EFFECTIVITYtarget ≥ 80%bottleneck
14d → 7d
Loop time, this quarter
+31%
Throughput, same headcount
€512K
Reclaimed (100-eng team)
// AgileEx

How work moves

The flow of value, end to end.

  • Lead time, bottlenecks, and team flow
  • Where work waits between teams and steps
// DevEx

How work feels

The human side of velocity.

  • Developer friction, interruptions, cognitive load
  • Why engineers slow down (even when metrics look “fine”)
// OpsEx

How systems behave

The reliability of what you ship.

  • SLOs, incidents, reliability patterns
  • Where delivery issues turn into production risk

Eliminate delay — not just measure it.

Acceleration

Agile Analytics Acceleration

Quickscan & Flow Insights — find where time is lost in hours, teams, and € impact.

Full Stack

Agile Analytics Full Stack

Metrics + Automation — connect Git, CI/CD, Jira → turn data into actionable flow insights.

Dev Support

Agile Analytics Developer Support

Interruptions & SLO visibility — make hidden work and support load measurable.

Dev Portal

Agile Analytics Developer Portal

Golden paths & onboarding — reduce friction before it becomes a delay.

06 · The demo

See where your delivery slows down — and what it costs.

In your demo, you'll see:

✓ Where work is waiting between teams and steps
✓ How much delay is costing you in € per sprint
✓ Which bottlenecks drive your lead time
✓ Why your SLOs fail — before customers notice
Book a demo →
LEAD TIME · DAYS€ RECOVERED · QTR€127K↓ 41% lead time
[demo · live dashboard preview]
“

We thought our bottleneck was deployment speed. It turned out to be handovers.

JB
Jeroen BultjeMaxeda
08 · FAQ

Frequently asked questions.

Who is Agile Analytics for?
For engineering and platform leaders who want to reduce delivery delays, improve DevEx, and make bottlenecks measurable instead of guesswork.
How does Agile Analytics collect data?
We combine:
  • Engineering data — Git, CI/CD, Jira
  • Developer input — surveys and interviews
You get both the numbers and the context behind them — not just dashboards.
What metrics do you use?
Proven frameworks like DORA, SLOs / Error Budgets, and SPACE — translated into where time is lost and what it costs your teams.
How is this different from DevOps monitoring tools?
Monitoring tells you what broke. Agile Analytics shows you where time is lost before things break — and how to fix it.

Less delay.
Higher engineering productivity.

Typical results when teams switch on Agile Analytics:

30–60%
reduction in lead time
20–40%
fewer failed deployments
€5K+
saved per engineer, per year
Request a demo →