Engineering Transformation Intelligence Platform
Assess engineering maturity across 13 domains. 462 evidence-based assessment objects. Deterministic scoring with industry benchmarks (Google SRE, DORA, CNCF, ITIL 4).
Customers
0
Total registered
Domains
13
Engineering disciplines
Assessment Objects
462
Factual questions
Frameworks
15
Industry standards
Domain Maturity
Scores across 13 engineering domains
| Domain | Weight | Score | Health % | Maturity | Gap | Priority |
|---|---|---|---|---|---|---|
| Reliability Engineering | 12% | — | 0% | — | — | |
| Observability & Monitoring | 10% | — | 0% | — | — | |
| Platform Engineering | 10% | — | 0% | — | — | |
| DevOps Engineering | 10% | — | 0% | — | — | |
| Automation Engineering | 10% | — | 0% | — | — | |
| AI-Led Operations | 10% | — | 0% | — | — | |
| IT Service Management | 10% | — | 0% | — | — | |
| Cloud Engineering | 8% | — | 0% | — | — | |
| Security & Governance | 8% | — | 0% | — | — | |
| Knowledge Management | 6% | — | 0% | — | — | |
| Engineering Governance | 6% | — | 0% | — | — | |
| Continuous Improvement | 5% | — | 0% | — | — | |
| Developer Experience | 5% | — | 0% | — | — |
How It Works
- 1. Create a customer profile
- 2. Start an assessment
- 3. Import operational data (incidents, changes)
- 4. Complete 462 factual questions
- 5. Consultant validates evidence
- 6. View scores and recommendations
Scoring Model
- • 50% — Customer Assessment (factual answers)
- • 30% — KPI Data (from operational imports)
- • 20% — Evidence Confidence (consultant validation)
- All scoring is deterministic. Same inputs = same outputs.
Maturity Levels
- 5 — Optimized (4.5–5.0)
- 4 — Managed (3.75–4.49)
- 3 — Defined (3.0–3.74)
- 2 — Developing (2.0–2.99)
- 1 — Initial (1.0–1.99)