SAFE: Program increment

PI Phases:

1. Preparation: Business context, vision, backlog readiness.

The organization prepares the ART for the upcoming increment.

Key activities include:

• Confirming business context and strategic priorities.

• Communicating the product/solution vision.

• Reviewing and prioritizing the Program Backlog.

• Refining epics, features, and enablers.

• Ensuring sufficient backlog readiness for PI Planning.

• Identifying architectural and technical dependencies.

• Preparing capacity, environments, data, and tooling.

• Ensuring business stakeholders and Product Owners are aligned.

Output: A sufficiently prepared backlog, clear vision, priorities, and planning inputs.

5. Inspect & Adapt: Final event with retrospective, metrics review, and improvement plans.

• Similar to retrospective, but across all teams

• Includes all team members, even business teams and POs

Inspect & Adapt occurs toward the end of the PI and is the ART-level equivalent of continuous improvement.

It is broader than a normal team retrospective.

A typical I&A includes:

1. PI System Demo
Demonstrate the solution developed during the PI.

2. Quantitative measurement
Review metrics such as:

• PI Objectives achievement

• Predictability

• Quality

• Defects

• Flow

• Delivery performance

• Business outcomes

3. Problem-solving workshop
Identify significant systemic problems and determine improvement actions.

Who participates?

Unlike a normal team retrospective, I&A involves representatives from across the ART, including:

• Development team members

• Product Owners

• Scrum Masters

• Product Management

• System/Solution Architects

• RTE

• Business Owners

• Other relevant business stakeholders

So your statement is essentially correct:

I&A is similar in purpose to a retrospective, but it operates at the ART/system level rather than the individual team level.

The objective is not simply:

“What did our team do well or poorly?”

It asks:

“What happened across the ART, what systemic problems affected delivery, and what should we change in the next PI?”

1. Strategy & Investment Funding

• Align portfolio vision with enterprise strategy

• Define value streams

• Allocate budgets to value streams (not projects)

• Use Lean Budgets and Guardrails

• Fund long-lived teams instead of temporary projects

2. Lean Governance

• Enable decentralized, yet controlled execution

• Track portfolio metrics (e.g. epic progress, budget burn)

• Apply Agile forecasting and rolling-wave planning

• Use participatory budgeting

• Support audit/compliance without waterfall artifacts
  
  

3. Agile Portfolio Operations

• Coordinate value delivery across value streams

• Use Portfolio Kanban to manage Epics

• Drive LPM syncs and collaboration across ARTs

• Empower Epic Owners to lead epics through the lifecycle

• Connect LACE (Lean-Agile Center of Excellence) for enablement
  
  

4. Portfolio Vision

• Define a compelling future state for the portfolio

• Developed by LPM stakeholders

• Communicated through portfolio canvas, roadmap, solution intent

5. Enterprise Architecture Alignment

• Guide architectural evolution and technology strategy

• Enterprise Architects collaborate with System/Solution Architects

• Ensure solutions align with strategic intent and NFRs

6. Epic Lifecycle Management

• Manage large initiatives (business or enabler epics)

• Use Lean Business Cases

• Go through funnel → review → analysis → approval → implementation

• Track via Portfolio Kanban system

The absence of having program increment practices lead to program risks, that impact the program, solutions, costs, and reputation.

We can highlight the following top 10 Risks for those enterprises, sprcially the government, that need to deploy anytime, without understanding the impact, as follows:

1. Constant Team Pressure: Continuous deadlines can increase stress, overtime, context switching, and shortcuts.

    Measure: Overtime, unplanned work %, velocity stability, satisfaction.

2. Increased Technical Debt: Short-term delivery may replace refactoring, clean code, and automation.

    Measure: Complexity, duplication, technical-debt backlog, defect density.

3. Deadline-Driven Agile: Teams may optimize for “release this week” instead of customer value.

    Measure: Business value delivered, feature adoption, outcome achievement.

4. Reduced Testing Depth: Limited time can reduce regression, UAT, security, and performance testing.

    Measure: Test coverage, escaped defects, incomplete testing.

5. More Regression Bugs: Frequent changes increase opportunities for existing functionality to break.

    Measure: Regression defects, production incidents, rollback rate, MTTD.

6. Immature Releases: Features may be released before documentation, usability, monitoring, or acceptance is complete.

    Measure: Open defects, hotfixes, rollback rate, post-release fixes.

7. Delayed Architecture & Security: Refactoring, upgrades, security hardening, and performance work may be repeatedly postponed.

    Measure: Security vulnerabilities, dependency age, architecture backlog, NFR capacity.

8. Higher Operational Risk: More deployments create more potential failure points, especially in integrated environments.

    Measure: Change-failure rate, deployment failures, incidents, MTTR.

9. Release Fatigue: Repeated preparation, deployment, monitoring, and support can consume engineering capacity, which impacts the overall program commitments and leads to overall program plan delay.

    Measure: Release hours, release-related capacity %, after-hours support.

10. Higher Support & Maintenance Costs: More releases can generate additional incidents, tickets, fixes, and customer support.

    Measure: Tickets/incidents per release, fix hours, deployment cost, support effort.

Key Principle: Sprint Cadence ≠ Release Cadence

A team can work in weekly/two-week Sprints while releasing based on business value, readiness, risk, and operational capability—not simply because the calendar says it is release day.