Engineering Radar
Map engineering practices and team dynamics, identify technical debt and risks — and their often invisible cost.
The problem
Your teams are shipping — but do you really know where they stand? Inconsistent practices, ungoverned AI usage, invisible technical debt, demotivated developers: without an objective assessment, it's hard to prioritize the right investments.
Delivered in continuous improvement, M&A due diligence and tech team restructuring contexts — for scale-ups and mid-sized companies alike.
The 4 dimensions assessed
AI Practices
- Adoption and maturity level
- Governance and framing
- Production usage
- Legal and IP exposure
Code Practices
- Quality and readability
- Maintainability and architecture
- Estimated technical debt
- Remediation cost
Testing Practices
- Coverage and strategy
- Automation level
- Release risk
- Codebase fragility
Team Practices
- Collaboration and flow
- Delivery practices
- Key person dependencies
- Operational risk
How it works
Interviews
One-on-one conversations with team members to understand their experience, friction points and actual practices.
Code review
Analysis of repositories, review practices, architecture and patterns in use.
Self-assessment workshop
The team evaluates its own practices across each dimension. Surfaces collective blind spots.
Deliverables
Scored written report
Score per dimension using DORA + craft grid. Risk scoring: low / medium / high / critical.
Remediation cost estimate
Approximate quantification of required investments, prioritized by urgency.
Executive summary (board-ready)
Non-technical document for executives, investors or acquirers.
Dual presentation
Readout to executive / management. Readout to the technical team.
Prioritized recommendations plan
Actions ranked by risk level and estimated effort. Directly actionable.