Reports (Connecting Health Signals to Delivery, Code, People, and Audit)

Introduction

Governance Deep-Dive Reports provide topic-based, investigative views across the software delivery lifecycle. While health reports highlight what is at risk, deep-dive reports explain why—by enabling structured drill-downs into delivery execution, code changes, contributor actions, and audit outcomes.

Together, they form a closed-loop governance system.

The Governance Journey of Code

Deep-dive reports represent the journey of code across the SDLC:

Delivery intent → Code changes → People accountability → Audit outcomes

Each stage is explicitly linked to health governance layers, ensuring that risks identified at a high level can always be traced to their source.

Delivery Reports – Execution Context

Delivery reports govern how work progresses through the delivery system, including:

• Portfolio and sprint progress

• Story, task, and defect status

• Sprint execution flow and completion patterns

These reports answer:

• Where are delivery risks originating?

• Are delays execution-related or structural?

• How do sprint outcomes compare over time?
  
  

They provide the execution context behind sprint and portfolio health scores.

Code Reports – Technical Reality

Code reports explain how delivery intent materialises in code, covering:

• Repository and branch summaries

• Pull request status and lifecycle

• Code review quality and outcomes

• Merged PR traceability and documentation

They allow teams to trace portfolio or sprint health degradation directly into:

• Code quality issues

• Security or performance risks

• Review and merge practices

Code reports form the bridge between delivery signals and technical reality.

Team Reports – Accountability and Ownership

Team reports connect delivery and code activity to people and ownership, including:

• Work item, PR, and branch assignments

• Review participation and load

• Concentration of risk across contributors

These reports enable:

• Constructive accountability
  
  

• Capacity and workload balancing

• Targeted coaching and intervention

They ensure governance is actionable and fair, not abstract.

Audit Reports – Compliance and Evidence

Audit reports capture deviations from defined governance expectations, including:

• Workflow and process violations

• Missing approvals or traceability gaps

• Deviations in merged pull requests

• Immutable audit logs for ongoing and completed artifacts

Audit reports provide the evidentiary layer required for compliance, reviews, and regulatory assurance.

Linking Health Reports to Deep-Dive Reports

Health reports (Sprint Health, Portfolio Health, Predictive Repository Health) identify where risk exists. Governance deep-dive reports explain why that risk exists.

This linkage enables:

• Direct drill-down from health signals to root cause

• Faster, evidence-based remediation

• Elimination of manual investigation and data stitching

Governance becomes continuous, explainable, and closed-loop.

Role-Based Value

• Delivery Leaders diagnose execution and flow issues

• Engineering Leaders trace quality and risk to code and practices

• Team Leads manage accountability and capacity

• Audit & Compliance Teams validate adherence with evidence

All roles operate on a shared governance foundation, viewed through role-specific lenses.

Conclusion

Governance Deep-Dive Reports ensure that no health signal exists in isolation. By linking delivery, code, people, and audit outcomes, Cubyts enables end-to-end traceability, faster resolution, and sustained governance maturity across the SDLC.

Video: https://www.loom.com/share/f125a949aa054a45a0035a2b6927e0b0