S Steer Pre-launch

Run engineering like you have a chief of staff.

Spend your week leading — not hunting through dashboards for what's slipping.

30-min walkthrough with a founder. We'll reach out within one business day.
Reads Jira GitHub CI/CD Delivers to Slack Email
S
Steer
Monday briefing · assembled 7:00 AM
Org 70% At risk
Good morning, Edward. I read 1,240 Jira issues and 38 GitHub repos over the weekend — 3 things need you this week.
1 Team Delta Critical
Cut Sprint 5 commitment 30% and put a director review on this week.
CRR 58% ↓62 sprints < 70%§9.5
2 Team Beta At risk
Ask Beta's lead to run a backlog refinement before Sprint 5 planning.
Backlog 1.5 sprintsPlanning in 9 days§3
3 Cross-team Decision
Decide Friday: re-sequence the billing migration, or lend Alpha an engineer.
2 stories blocked11 days§7
🔒 Steer drafts the messages and the fix — you approve and send. Nothing changes in Jira on its own.
30
health signals
6
categories
22
auto-calculated
16
operating-model sections

Measuring your engineering is solved. Knowing what to do about it isn't.

Jellyfish, LinearB and Swarmia will show you the numbers — down to how much AI your teams are using. What none of them do is hand you the specific move to make when a signal slips, grounded in a real operating model. The gap isn't measurement. It's the prescription — and a playbook that can actually see your data.

Dashboards that measure — but don't prescribe

Jellyfish · LinearB · Swarmia · Allstacks · DX
"They'll even chart your Copilot acceptance rate now. What they won't tell you is the play to run when commitment reliability slips at sprint 4."
Measurement without a prescription.

Playbooks that can't see your data

SAFe · Team Topologies · Accelerate · An Elegant Puzzle
"A static operating model in a book or a PDF — it never reads your Jira, never notices the drift, never updates when the signal moves."
A playbook with no live signal.

Steer: the operating model and the signal engine, together

"Steer reads your live signals and carries the prescriptive operating model — so when something drifts, you get the specific fix, and the section it came from."
New role map for AI-augmented teams. The operating model's Engineering Producer collapses Tech Lead + delivery PM into one role — provisioned into your Confluence + Jira by the free template.
Read §11.8 →

From connect to your first briefing in an afternoon

No agents in your repos, no rip-and-replace. Steer reads what you already have and starts surfacing the signal within a sprint.

01

Connect

Authorize Jira and GitHub with OAuth and a read-only GitHub App. Map each team to its board and repo. Tokens are encrypted at rest; nothing is written back without your approval.

~5 min · read-only · OAuth
02

Steer reads & scores

It ingests your sprints, PRs, deployments and CI continuously, then scores 30 signals Red/Amber/Green against the operating model — per signal, per category, per team, rolled up for the org.

continuous · 22 auto-calculated
03

You get the briefing

Every Monday: the few things that need you, the evidence behind each, and the prepped fix that cites the operating model — delivered to Slack or email. You approve and send.

weekly · you stay in control

See it running on a fictional 5-team org

Five teams. 30 signals each. One healthy, one in crisis, one shipping fast on AI but quietly breaking more. Click any RAG badge to drill into the calculation. Open the Leadership Rollup tab to see the four things a VP should do this week.

app.steer.ellaloop.com/acme · Q2 2026 · Sprint 4 of 6
Open in new tab ↗
Synthetic data. Same UI as the live product. Open in a full window →

30 signals across 6 categories

Pulled from Jira, GitHub, and a small set of manual inputs. Scored at the signal, category, and team level. Rolled up across the org for leaders.

New · AI Leverage
Measure whether AI is helping — or quietly raising your change-failure rate.

Adoption, suggestion acceptance, AI-assisted throughput, and a quality guardrail on AI-written code. Other tools show you the AI numbers. Steer also hands you the fix from the operating model.

Book a Demo
5 signals

Planning

  • Backlog grooming readiness
  • Dependency coverage at QP
  • Cognitive load score
  • Incoming rate trend
  • Pre-planning data readiness
5 signals

Delivery

  • Commitment Reliability Ratio
  • Velocity stability
  • Sprint commitment
  • Deployment frequency (DORA)
  • Cycle time
5 signals

Quality

  • SLA compliance
  • Defect trend
  • Escaped defects
  • Defect Removal Efficiency
  • Change Failure Rate (DORA)
5 signals

Engineering

  • Lead time for changes (DORA)
  • MTTR (DORA)
  • Flow efficiency
  • Cross-team dependency impact
  • Investment allocation vs plan
5 signals

Team Health

  • Cognitive load
  • Focus time
  • Unplanned work accuracy
  • Team stability
  • Retro action efficacy
New · 6th category
5 signals

AI Leverage

  • AI tool adoption rate
  • AI suggestion acceptance rate
  • AI-assisted PR throughput delta
  • AI quality guardrail
  • AI use-case breadth

Steer vs. an engineering dashboard

Jellyfish, LinearB and Swarmia measure your engineering — down to how much AI your teams are using. Steer reads the same data, then tells you the few things that need you and the fix — grounded in a real operating model.

Steer
Jellyfish, LinearB, Swarmia
Tells you the fix, not just the metric
Steer AI recommendations that cite the operating model
Others Charts you interpret yourself
Grounded in a real operating model
Steer A 16-section playbook is the AI's knowledge base
Others Metrics with no opinionated model behind them
Turns AI metrics into a decision
Steer Cites the operating-model play for each AI signal
Others Report AI adoption & acceptance; you decide what to do
A leadership briefing, not dev nudges
Steer Ranked actions + prepped drafts for the leader
Others Dashboards + dev-level Slack nudges
Pricing
Steer Per team — no per-seat surveillance optics
Others Often per contributor / per seat
Free installable template
Steer A Confluence + Jira operating-model bundle
Others None

Start free. Add the platform when you're ready.

The operating model is a free Confluence + Jira template. Steer — the paid platform — layers live signals and AI recommendations on top, in three plans. Priced per team, not per developer — health is measured at the team level, so no per-seat surveillance optics and no procurement headaches. The template stays free at every plan.

Free · Template Bundle
$0
Installable Confluence + Jira template · yours to keep
  • Full 16-section operating model in Confluence
  • AI-era role map (Engineering Producer)
  • §11 AI engineering adoption playbook
  • Jira hierarchy, dashboards, JQL, JPD project
  • Standard-tier fallback if you're not on Premium
  • Live auto-calculated signals
  • AI recommendations & weekly briefings
Starter
$99 /team/mo
$83/team/mo billed annually · Up to 3 teams
  • Everything in Free, plus the live platform
  • 30-signal dashboard, auto-calculated from Jira + GitHub
  • RAG scoring per team
  • AI Migration Concierge (every paid plan)
  • Basic AI recommendations
  • 1 quarter of trend history
  • Leadership Rollup view
  • Slack / Teams integration
For a single team or small org
Scale
$299 /team/mo
$249/team/mo billed annually · Unlimited teams
  • Everything in Growth
  • Custom signal thresholds
  • SAML SSO
  • API + webhooks
  • Real-time Slack alerts with AI guidance
  • Custom email cadence
  • Unlimited trend history
  • Priority support + onboarding call
For multi-org and enterprise

Every paid plan includes the AI Migration Concierge — Claude reads your existing Jira, drafts the migration, you approve. See it on the live demo →

Questions engineering leaders ask

The short version: read-only, you stay in control, and it installs in an afternoon.

Does Steer act on its own or write to my Jira?
No. Steer reads your data and drafts the messages and the fixes — you approve and send. Nothing changes in Jira or GitHub without you. Augmentation, not autonomy.
What access does it need to GitHub and Jira?
A read-only GitHub App that reads pull requests, deployments and CI — it never reads your source code. Jira connects over OAuth with read scopes. All tokens are encrypted at rest, and each org's data is isolated.
How long does setup take?
About an afternoon. Authorize Jira and GitHub, map each team to its board and repo, and signals start landing within a sprint. No agents in your repos, no rip-and-replace.
Do I have to adopt your operating model or reorganize my team?
No. Steer reads the Jira you already have and maps to it — adopt-and-map, not rebuild. The operating model powers the recommendations; you adopt as much or as little of it as you want, and the free template is optional.
Why per team instead of per developer?
Health is measured at the team level, so pricing is too — no per-seat surveillance optics and no procurement headaches. The free template stays free at every plan.
What does the AI actually do?
It scores 30 signals Red/Amber/Green, surfaces the few that need you, and generates the fix — grounded in the operating model and drafted in your voice. Then it preps the messages so you can review, edit, and send. You stay in control of every action.
When can I get it?
The beta is open now — book a demo and we'll run it on your own (anonymized) Jira data. Public launch is targeted for Month 6; beta partners get 6 months free on the Growth plan in exchange for product feedback.

Book a Demo

30-minute walkthrough with a founder. We'll show you the dashboard running on your own (anonymized) Jira data, walk through how the AI recommendations work, and discuss whether the beta is a fit. Beta partners get 6 months free on the Growth tier in exchange for product feedback.

We'll reach out within one business day · No credit card · No obligation