See every initiative across your teams, and drill straight to what's slipping

AndonPulse gives engineering leaders one live picture of delivery, then lets you drill from initiative to the exact task, team, or person behind a delay, so you catch problems while you can still fix them. No analyst required.

Request free access Book a demo

The slide says on track. The work says Dec 26.

The status slide says everything is on track. The work says something else.

Friday status slide

Live

Checkout redesign On track
On track · Nov 10
Payments API v2 On track
+14 days
At risk · Dec 26
Mobile onboarding On track
On track · Nov 22
Data export On track
+8 days
Watch · Dec 1
SSO for admins On track
On track · Nov 14
Search relevance On track
On track · Dec 2

2 of 6 Deliverables are slipping. The slide shows none of them.

  • Getting the full picture takes hours To see how delivery is really going, you click through board after board and lose your place between hundreds of tasks.
  • You find out about delays too late By the time a slip reaches your staff meeting, it has been going wrong for weeks.
  • Finding out why takes forever You ask a manager and get a filtered answer, or dig through tickets yourself for an afternoon.
  • Your deadlines are guesses You commit to dates in front of stakeholders based on optimistic estimates grounded in nothing.

From a slipping initiative to a decision, in five clicks

Deliverables flagged this week, with plan, forecast and drift.

Spot the risk

Two of 14 Deliverables are flagged this week. Payments API v2 moved the most.

Flagged from real progress, not from a status someone typed.

Payments API v2: 38 of 70 Issues done by Nov 8, planned for Dec 12, forecast Dec 26. Below, the weekly burnup of scope and completed work, with straight forecast lines for scope and completion that meet in late December.

Open the Deliverable

The forecast for Payments API v2 moved from Dec 12 to Dec 26. Scope grew by six Issues, and progress slowed over the last two weeks.

The forecast comes from completed work so far and the scope that is left.

Time in stage by team.

Find the waiting

Most of the delay sits in one stage. Pull requests wait 3.4 days for a first review, up from 1.1 days a month ago.

Stages come from your own statuses.

Review load by person.

See the constraint

Nine open pull requests wait on two reviewers from the Platform team. The other teams are on schedule.

A review bottleneck in one team, not a slow initiative.

Scope and completed work.

Make the call

Add reviewers from another team, cut scope, or move the date with evidence stakeholders can check.

AndonPulse doesn't make the decision. It shortens the way to an informed one.

Stay ahead of every initiative without hunting for it

See every team in one place

Today
You check on delivery by digging through five boards and opening initiative after initiative.
With AndonPulse
One live view shows the health of every initiative across every team, so you get the full picture in seconds without chasing it or pinging your engineers.
Deliverables across teams on one timeline. Payments API v2 is at risk and Data export needs watching.

Get warned before things slip

Today
You hear something is off only after it is already too late to fix.
With AndonPulse
At-risk initiatives are flagged automatically from real work data, so the slipping ones surface before they become a crisis.
Work items flagged for stalled progress, review queues and overdue dates.

See why something's stuck in seconds

Today
You ask a manager and get a filtered answer, or dig through tickets yourself for an afternoon.
With AndonPulse
Drill from the initiative down to the exact task, team, or person that is blocked, and find the real cause yourself in seconds.
Time in workflow stages by team. The Platform team waits 3.4 days for review.

Commit to dates you can actually hit

Today
You promise stakeholders dates based on optimistic estimates grounded in nothing.
With AndonPulse
Completion is forecast from real progress and flagged before a deadline slips, so the dates you commit to hold up.
Share of releases on the agreed date, month by month, from 60% in June to 81% in October.

Works with the tools your teams already live in

Connect once. Every view reads the same model.

Issue tracking

  • Jira
  • Linear
  • Azure Boards
  • Shortcut
  • Asana
  • ClickUp

Code hosting

  • GitHub
  • GitLab

AI coding tools

  • Claude Code
  • Cursor
  • Codex
  • GitHub Copilot

People and teams

  • BambooHR
  • Workday
  • HiBob
  • Personio
  • Sage HR
  • UKG
  • Dayforce

Messaging

  • Slack
  • Microsoft Teams
Your delivery model Statuses, teams and initiatives, mapped once. Connect the work your teams plan with the work they deliver. Bring repositories, pull requests and reviews into your delivery picture. Understand how AI-assisted development fits into your engineering work. Keep people, team structure and capacity connected to your work. Keep delivery insights close to the conversations where work happens.
  • Risk and forecasts
  • Cycle time and DORA
  • AI adoption and impact
  • Allocation and cost
  • Capitalization reports
Your solution maps directly to our needs. We can capitalize engineering, design, and QA. The math is fully transparent — because we write the rules ourselves in the platform.
Eugene Gusarov Director of Product and Engineering, NetNation
Read the NetNation story

More of what you'd expect, on the same data

Connect your tools once. Every view uses the same delivery model, so the numbers agree.

Engineering delivery

AI analytics

Planning & finance

Initiatives across teams on one timeline.
One Deliverable bar: work done so far, work left at the current pace, the planned date and the forecast.

Every initiative, its forecast, and the work behind it.

Open this view
DORA metrics: deployments by month, change failure rate by month, lead time for changes of 19 hours and time to restore service of 0.7 hours.

Delivery speed and stability, with the deployments and pull requests behind each change.

For each sprint, carryover, newly committed and added work next to completed and added-and-completed work.

Which sprint work is at risk before the review, and why it carried over.

Pull request metrics: time to merge for each pull request, lifetime by stage with 14 hours waiting for the first review, and 219 merged pull requests.

Where reviews wait, and who carries the load.

Share of merged pull requests with AI assistance, by team.

See how much of your work involves AI coding tools, by team.

Cycle Time with and without AI.

Compare Cycle Time for work with and without AI assistance.

Active AI tool users by month.

Follow how AI coding tools spread across teams over time.

AI tool cost next to the value of engineering hours saved.

Put the cost of AI tools next to what they change.

Share of effort by type of work, month by month.

Where engineering capacity goes, compared with the plan.

Capitalizable hours and cost, with engineering hours by category.

Audit-ready R&D reports from measured work.

Open this view
Your data. Our help getting started.

Get started with our help

Request free access to AndonPulse. We’ll schedule a guided session and help you get from connected tools to useful insights.

  1. 01

    Tell us about your team

    A few details help us tailor the session to your tools and goals.

  2. 02

    Get a guided setup session

    We’ll help you connect your tools, set up your workspace, and understand your data.

  3. 03

    Start with free access

    Use the free Developer Productivity plan for teams of up to 10, or try paid capabilities free for 14 days.

Connect your existing tools without changing your workflow.

Free access, with a helping hand

Request free access

We’ll email you to arrange a guided session before you receive access.

People whose engineering work you want to understand.