
Every Product Owner/Product Manager (POPM) working within the Scaled Agile Framework (SAFe) faces a common tension — delivering continuous business value while keeping technical debt under control. It’s like driving fast enough to reach your destination (customer value) but still taking time to service the car (system health). Ignore either, and you’ll end up with costly delays or unstable releases.
Let’s break down how a SAFe POPM can manage this delicate balance — not by luck or pressure, but through structured thinking, clear prioritization, and collaboration with Agile teams and stakeholders.
Business value in SAFe isn’t just about short-term revenue or delivering shiny new features. It’s about maximizing outcomes that move the organization closer to its strategic goals — whether that’s increasing customer satisfaction, improving efficiency, or reducing operational risks.
A POPM defines and communicates business value through features, enablers, and capabilities aligned with business objectives. During Program Increment (PI) planning, each feature gets a business value score assigned by Business Owners, helping the team focus on the outcomes that truly matter.
This is where Leading SAFe training becomes valuable — it helps POPMs understand how to connect business strategy with team-level execution while maintaining flow.
Technical debt is the cost of shortcuts in development. Sometimes, these shortcuts are intentional — taken to meet a market window or experiment quickly. Other times, they’re accidental — the result of poor design decisions, lack of automation, or skipped testing.
Here’s the thing: a small amount of debt can be strategic. But when left unmanaged, it compounds over time, slowing down delivery, increasing defects, and frustrating teams. POPMs need to view technical debt as an invisible product backlog that demands constant attention, not something developers complain about in retrospectives.
If a team focuses only on business value, they risk creating brittle systems that can’t scale. If they focus too much on technical perfection, they might lose sight of customer needs and market opportunities. The best POPMs understand that both are interdependent — sustainable value delivery depends on technical health.
A mature Agile organization, guided by the principles from SAFe agile certification, treats business value and technical debt as two sides of the same coin. Every sprint or PI must consider both dimensions intentionally.
You can’t manage what you can’t measure. POPMs should work with System Architects and teams to create a shared understanding of:
Business Value Metrics: Customer adoption rate, NPS, revenue impact, lead time, and feature usage.
Technical Health Metrics: Code quality (SonarQube metrics), build times, test coverage, defect rates, and the number of open enabler stories.
When both sets of metrics are visible during PI Planning or Inspect & Adapt sessions, decisions move from subjective debates to data-driven trade-offs.
Treat technical debt as a first-class citizen in the Program Backlog. Instead of burying refactoring or automation under vague “tech tasks,” create Enabler Features that clearly articulate the business impact of addressing them.
For example:
“Improve test automation to reduce regression time by 40%.”
“Refactor payment module to enable easier integration with third-party APIs.”
By framing debt reduction as enablers, POPMs help leadership see the why behind the investment. This approach is reinforced in SAFe agilist certification programs, where participants learn to balance value streams with system sustainability.
PI Planning is the ideal time to negotiate the balance between new feature work and system improvement. A good rule of thumb is to allocate 15–25% of capacity to technical debt or enablers, depending on the current system state.
However, it’s not just about setting percentages. The POPM’s role is to facilitate transparent conversations between Product Management, System Architects, and Business Owners:
What technical debt is blocking business outcomes?
Which improvements will accelerate future delivery?
How does this align with the business roadmap?
By connecting technical discussions to business priorities, the POPM ensures that debt work never feels like “maintenance” but as an essential part of delivering value.
In SAFe, flow is the measure of how smoothly value moves from concept to cash. Technical debt is one of the biggest flow disruptors — it increases handoffs, delays integration, and slows down feedback loops.
POPMs can use flow metrics (Flow Time, Flow Load, Flow Efficiency) to justify debt reduction work. For instance, if flow time is increasing due to unstable environments or manual testing, investing in automation becomes a business decision, not a technical one.
External frameworks like the Flow Framework by Mik Kersten can complement SAFe practices by quantifying how debt impacts throughput — helping POPMs make stronger, data-backed arguments during prioritization.
Sometimes, the hardest part isn’t identifying technical debt — it’s convincing business stakeholders to address it. The POPM plays a communication role here. They must translate technical terms into business outcomes.
For example:
Instead of saying “we need to refactor legacy code,” say “we’re spending 30% of our sprint fixing bugs in this module — refactoring will recover that capacity for feature delivery.”
When stakeholders understand that addressing debt creates more future business value, they’re more likely to support it.
This mindset shift is something you refine through SAFe agile certification training, where POPMs learn how to build consensus and articulate value across business and technology teams.
Transparency drives accountability. Use dashboards to make technical debt visible to everyone — not just developers. Include metrics like:
Time spent on maintenance vs. new work
Number of open defects
Code coverage trends
Build success rates
During Inspect & Adapt (I&A) events, review these metrics alongside business outcomes. This reinforces the idea that technical excellence is part of value delivery, not a separate activity.
External tools like Jira Align, Rally, or Azure DevOps can be configured to track enabler work visually, giving both executives and teams a shared view of system health.
A POPM’s decision-making often involves trade-offs:
Should we deliver a high-value feature now or pay off debt to avoid future slowdowns?
Should we push a release or stabilize the infrastructure first?
There’s no universal answer. But using the SAFe principle of economic decision-making, POPMs can evaluate both cost of delay (CoD) and implementation effort. If a piece of debt carries a high CoD (because it slows multiple teams), fixing it becomes a high-priority item.
The Lean-Agile mindset encourages optimizing the system, not just individual features. And that’s where SAFe’s emphasis on continuous learning and relentless improvement ties back to sustainable delivery.
At the end of every PI, the Inspect & Adapt workshop offers a chance to reflect. Use this time to review not only what value was delivered, but also how much technical debt was reduced — or created.
Ask:
Did new features introduce complexity?
Were any enablers postponed?
What’s the trend in system stability?
Documenting these insights and making them part of the improvement backlog ensures the team doesn’t repeat the same patterns in future PIs.
Balancing business value and technical debt isn’t solely the POPM’s job. It’s a shared responsibility between the Product Management, System Architect, and Agile teams.
The POPM’s role is to facilitate the right discussions and keep the focus on long-term system health. Developers should feel empowered to raise technical concerns early, and Business Owners should understand that system quality directly impacts delivery velocity.
Teams that invest in this balance see faster innovation, lower maintenance costs, and more predictable releases — outcomes every SAFe enterprise wants.
Continuous Exploration (CE), one of SAFe’s key elements, encourages early validation of ideas before heavy investment. POPMs can use CE practices to catch potential technical risks during exploration, reducing future debt.
For example:
During hypothesis testing, involve architects to assess scalability.
During customer validation, consider performance and integration constraints.
By baking technical considerations into exploration, POPMs prevent future debt instead of managing it reactively.
A SAFe POPM’s strength lies in their ability to connect business strategy with technical execution. Balancing business value and technical debt isn’t a one-time decision — it’s an ongoing discipline of trade-offs, transparency, and alignment.
When done right, it ensures:
Teams deliver value sustainably
Stakeholders stay confident in long-term outcomes
The system remains resilient and adaptable to change
And if you’re aiming to strengthen your understanding of these dynamics, Leading SAFe training is a great place to start. It builds the mindset and tools you need to make decisions that benefit both the business and the system — the hallmark of an effective POPM.
Also read - How POPMs Leverage Inspect & Adapt Workshops to Improve Value Flow
Also see - Using Data and Feedback Loops to Drive Continuous Improvement