Know which initiatives are slipping, and why, while you can act

AndonPulse connects Jira, GitHub, GitLab and Linear into one live view of every initiative. It flags delivery risk early and takes you to the Issue, stage and rule behind it.

12
On track
1
Watch
1
At risk
  • Done so far
  • Forecast
  • Planned date
  • Today

8 of 14 Deliverables

On track Growth team

Checkout redesign

Plan
Nov 10
Forecast
Nov 10
Drift
On plan

61 of 64 Issues done

+1
Scope added
0.9 d
First review
2
Open pull requests

Scope is stable and progress is steady.

At risk Platform team

Payments API v2

Plan
Dec 12
Forecast
Dec 26
Drift
+14 days

38 of 70 Issues done

+6
Scope added
3.4 d
First review
9
Open pull requests

Nine pull requests wait on two reviewers.

Open the work behind it

On track Growth team

Mobile onboarding

Plan
Nov 22
Forecast
Nov 22
Drift
On plan

29 of 38 Issues done

0
Scope added
1.1 d
First review
3
Open pull requests

No stage is slower than usual for this team.

Watch Data team

Data export

Plan
Nov 23
Forecast
Dec 1
Drift
+8 days

28 of 44 Issues done

+2
Scope added
1.3 d
First review
4
Open pull requests

Two Issues wait for Payments API v2.

On track Identity team

SSO for admins

Plan
Nov 14
Forecast
Nov 14
Drift
On plan

28 of 31 Issues done

0
Scope added
0.9 d
First review
1
Open pull requests

QA is in progress.

On track Discovery team

Search relevance

Plan
Dec 2
Forecast
Dec 2
Drift
On plan

31 of 52 Issues done

+1
Scope added
1.0 d
First review
3
Open pull requests

Scope is stable.

On track Billing team

Billing migration

Plan
Jan 12
Forecast
Jan 12
Drift
On plan

22 of 80 Issues done

+2
Scope added
1.2 d
First review
2
Open pull requests

Progress matches the plan.

On track Identity team

Audit log

Plan
Nov 19
Forecast
Nov 19
Drift
On plan

21 of 26 Issues done

0
Scope added
0.8 d
First review
1
Open pull requests

Review wait is normal.

Read-only connections to the tools your teams already use

  • Jira
  • GitHub
  • GitLab
  • Linear
  • Claude Code
  • Cursor
  • Codex
  • BambooHR
All integrations

Plenty of dashboards, and delivery problems still show up late

The status report says on track. The work under it says something else.

What the team says next to what the work shows. On track, but the forecast is Dec 26, 14 days after the plan. Just a few tickets left, but 32 of 70 Issues are open. Testing starts Monday, but 9 pull requests still wait for review.

Status is assembled by hand

Someone pulls Jira, Git and Slack threads into a slide, and it is out of date by Friday.

Twelve weekly reports for Payments API v2. The status report stays green until Dec 11. The forecast from the work passes the plan on Oct 16, 8 weeks earlier.

Risk shows up at the deadline

A green status says little about the work under it, so the slip appears when the date passes.

Median time in each stage. Waiting for review is the longest at 3.4 days.

Nobody can see where work waits

Work sits in review, in QA or in another team's queue, and no report shows which stage holds it.

From a slipping initiative to a decision, in five clicks

Deliverables flagged this week, with plan, forecast and drift.
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.
Time in stage by team.
Review load by person.
Scope and completed work.

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.

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.

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.

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.

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.

Book a demo

What you can do with an engineering management platform

Which initiatives are at risk this week?

Every initiative across every team in one live view, with risky ones flagged automatically.

A 120-engineer custom development company cut its weekly status report from 8 to 2 hours in two months.

Work items flagged for stalled progress, review queues and overdue dates.

When will it actually ship?

AndonPulse forecasts the finish date from real progress, so you see the risk before the deadline passes.

An 80-engineer online retailer raised releases on the agreed date from 60% to 80% in four months.

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.

Where do engineering time and money go?

Effort and cost by initiative, team and type of work, from the same data. Finance gets numbers it can trace.

The same data feeds software capitalization reports, so nobody runs a separate time tracker.

Cost by Deliverable and type of work.

What it answers for each role

Which initiatives need my attention this week, and what do I tell the CEO?

Start from risks and forecasts, then open the evidence. Share a link instead of a slide.

Scope and completed work for one initiative.

Will this ship on the agreed date, and what changed since last week?

The forecast, the scope added since planning, and the blockers. Engineering and product read the same forecast.

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.

Where is work waiting in my team: review, QA or another team?

Time in each workflow stage, down to the Issue and the pull request. A growing queue shows up before the sprint review.

Time in workflow stages by team.

What is waiting on my review, and what is blocking my work?

See the review queue and blocked work for your team, so the process gets fixed instead of the people.

Median wait for the first review over ten weeks.

AndonPulse shows how work flows, not how good an engineer is. There are no developer leaderboards or individual scores.

Built around your delivery model

Most tools give you their definitions. AndonPulse uses yours. You decide which statuses mean active and which mean waiting, and every metric follows.

Try it. Change a status on the right and watch the metric move.

PAY-437 · Webhook retries · 17 days

Flow efficiency

Change a rule and past periods recalculate, so trends stay comparable.

One platform. Engineering management is one of its views.

Connect your tools once. The same delivery model powers every view.

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.

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.

Open this view
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.

Open this view
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.

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

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

Open this view
Cycle Time with and without AI.

Compare Cycle Time for work with and without AI assistance.

Open this view
Active AI tool users by month.

Follow how AI coding tools spread across teams over time.

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

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

Open this view
Share of effort by type of work, month by month.

Where engineering capacity goes, compared with the plan.

Open this view
Capitalizable hours and cost, with engineering hours by category.

Audit-ready R&D reports from measured work.

Open this view

Up and running on your data

No new fields and no timesheets. Our customers saw first results in 2 to 4 weeks.

  1. 5–15 minutesConnect your tools

    Jira, GitHub, GitLab, Linear, your AI coding tools and your HR system, with read-only access.

  2. Same dayLoad your history

    Past months come in at once, so trends have a baseline from day one.

  3. With our teamMap your delivery model

    Initiatives, teams and statuses, checked on your real data.

  4. Weeks 2 to 4Run your first risk review

    Every initiative with its forecast and flags, checked against what your managers know.

  • Separate database for each customer
  • SSL/TLS and encryption of sensitive data
  • Read-only integrations
Trust Center

Questions about engineering management in AndonPulse

How does AndonPulse measure delivery risk and forecast dates?

AndonPulse reads status changes, issue links and pull request events from your tools and forecasts each initiative’s finish date from the progress made so far. An initiative is flagged when its forecast passes the planned date, or when work sits in one stage much longer than usual for that team. Every flag opens the tasks and stages behind it, with the time each task spent in every workflow stage, so you can check why it fired. A forecast is built on progress so far. It can’t see a decision that hasn’t reached the tracker yet, so the date moves as soon as the work does.

How is this different from engineering project management software like Jira?

Project management software for engineering tracks tasks, owners and plans. An engineering management platform reads that data together with Git activity and shows how the work is actually moving. AndonPulse adds forecasts, early risk flags and time in each workflow stage across all teams. Jira stays where your teams plan and work, and AndonPulse doesn’t add fields or steps to it.

Is engineering management a separate product?

No. AndonPulse is one software engineering management platform. The delivery overview, DORA metrics, sprint reports, resource allocation and capitalization reports all run on the same connected data. You connect your tools once, and every view uses the same rules for statuses, teams and initiatives. A delay flagged in the delivery overview opens the same tasks you see in cycle time and sprint reports.

Can AndonPulse adapt to different team workflows?

Yes. Each team can keep its own statuses, issue types and board setup. You map them once to shared stages and initiatives, for all teams or team by team. The AndonPulse team does this with you during guided setup and checks the result on your real data before you rely on the numbers.

Does AndonPulse rank or monitor individual developers?

No. AndonPulse is built to show where work waits in the process, such as a review queue, a blocked dependency or an overloaded team. You can drill down to a task or a contributor to find the cause. Contributor data gives context to a process decision, such as who needs help with reviews. There are no leaderboards or individual productivity scores.

How long does setup take, and when will historical data appear?

Connecting your tools takes 5–15 minutes, and larger accounts take longer. Historical data loads right away, so you see trends without months of waiting. Mapping your delivery model with our team usually comes next. In our customer stories, teams had their first insights or reports within 2 to 4 weeks. Nobody has to change their workflow for it.

Which data and permissions do the integrations need?

Integrations are read-only, so AndonPulse never changes your boards or repositories. Each customer’s data is stored in a separate database and protected with SSL/TLS and encryption of sensitive fields. AndonPulse follows SOC 2 and GDPR best practices. It reads metadata such as statuses, timestamps and pull request events, not your source code. The Trust Center has the details. If you want to look around first, you can ask for a sandbox account that doesn’t need your data.

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.

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People whose engineering work you want to understand.