Install a complete, prescriptive engineering operating model into your Atlassian stack — 16 sections of content, a full Jira hierarchy, a JPD roadmap pipeline, governance dashboards, and automation rules. Everything a VP of Engineering wishes they had when starting from scratch.
Team formation, quarterly planning, governance, scaling tiers, AI engineering, onboarding, roles — installed as Confluence pages with ceremony blueprints.
4-level hierarchy (Strategy → Initiative → Epic → Story), custom fields, issue templates, workflows with risk overlay, and governance dashboards.
Specific cadences, specific thresholds, specific templates. Battle-tested at engineering orgs from 10 to 200 engineers. No blank canvases.
These 4 questions shape what comes next. The template bundle adapts to your scale, maturity, and priority — so your first recommendations are specifically useful, not generic.
Explore what we just provisioned in your Atlassian stack. Each tab previews the actual artifact — in a real install, these open directly in Confluence, Jira, or JPD.
The template comes pre-loaded with opinionated next moves tailored to what you told us in step 2. Continue to step 4 to see them.
Reduce P1 incidents by 50%. Bring MTTR under 1 hour for tier-1 services. Deliver SLO-driven engineering culture across all teams.
Feature parity and 4.6+ store rating on iOS and Android by EoY. Offline mode, push rework, and Android 15 adoption.
Roll out AI tooling org-wide with measured adoption. Target 20% cycle time reduction without regressions in change failure rate.
| Idea | Source | Reach | Impact | Confidence | Effort | RICE | Status |
|---|---|---|---|---|---|---|---|
| SSO for customer admins | Enterprise requests (5) | High | 3 | 80% | M | 9.6 | Promoted → Initiative |
| Bulk export to CSV | Support tickets (18) | Medium | 2 | 90% | S | 7.2 | Promoted → Epic |
| Scheduled report emails | Top-requested feature | High | 2 | 85% | S | 8.5 | Under Review |
| Custom webhook per workspace | Customer interviews (3) | Low | 3 | 70% | M | 4.2 | Under Review |
| Dark mode | User feedback | Medium | 1 | 95% | S | 5.7 | Parked |
| Multi-tenant workspace switcher | Customer interviews (2) | Low | 2 | 60% | L | 1.8 | Parked |
The template alone gives you structure. Adding the Steer SaaS auto-calculates team health from your Jira and GitHub — and then recommendations become signal-driven, not just profile-driven.
The template gave you the structure. Steer SaaS reads that structure — your Jira hierarchy, custom fields, and Quarterly Risk Review — and auto-calculates 25 team health signals across 5 categories, with AI recommendations grounded in the operating model itself.
What Acme Engineering would look like on day 1 of the SaaS — auto-calculated from the Jira hierarchy the template just provisioned.
Live signals include Commitment Reliability Ratio, Velocity Stability, Cycle Time, DORA metrics, Cognitive Load, and 20 more — with AI recommendations for every Red or Amber category.
The template bundle is yours. No expiration, no feature throttling, no pressure. Upgrade to the SaaS when real-time signals are worth paying for — not before.