Technical Debt - A Product Manager's Guide to the Invisible Threat

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Technical Debt - A Product Manager's Guide to the Invisible Threat

September 2017 finds product teams across the industry grappling with a growing challenge: how to balance the pressure for new features with the need to address technical debt. As codebases mature and development teams scale, this "invisible threat" is increasingly impacting velocity, quality, and team morale. For product managers, understanding and managing technical debt has become a critical skill.

Understanding Technical Debt: Beyond the Metaphor

While the term "technical debt" has become ubiquitous, many product managers still struggle to grasp its full implications:

What Technical Debt Really Is

Technical debt encompasses several distinct types of issues:

  • Deliberate short-term compromises: Conscious decisions to implement quick solutions with known limitations
  • Design and architectural issues: Structural problems that make code difficult to modify
  • Code quality issues: Poor implementation practices that increase maintenance costs
  • Outdated dependencies: Aging libraries, frameworks, and platforms that create security and compatibility risks
  • Knowledge gaps: Inadequate documentation and tribal knowledge that create development bottlenecks

Technical Debt Types

Understanding these distinctions helps product managers have more productive conversations with engineering teams about specific debt-related challenges.

The Real Cost of Technical Debt

Technical debt impacts product development in multiple ways:

  • Decreased velocity: Teams spend increasing time working around limitations
  • Reduced quality: Higher defect rates as changes have unexpected consequences
  • Increased risk: Security vulnerabilities and stability issues
  • Team morale: Developer frustration and burnout
  • Innovation barriers: Inability to adopt new technologies or approaches

Stripe's engineering team estimates that the average organization spends 33% of development time dealing with technical debt, representing a massive opportunity cost.

The Product Manager's Role in Technical Debt Management

Product managers play a crucial role in addressing technical debt:

1. Creating Visibility

Making the invisible visible:

  • Debt inventory: Working with engineering to catalog significant debt items
  • Impact assessment: Quantifying how debt affects development velocity and quality
  • Visualization: Creating dashboards that track debt-related metrics over time

Atlassian's approach of maintaining a "tech debt wall" with visible cards for each debt item helps make abstract issues concrete for all stakeholders.

2. Strategic Prioritization

Determining which debt to address and when:

  • Risk-based assessment: Prioritizing debt that creates security or stability risks
  • Impact-based assessment: Focusing on debt that most affects development velocity
  • Opportunity-based assessment: Addressing debt that blocks strategic initiatives

Spotify uses a simple but effective framework that categorizes debt as "blocks future work," "slows us down," or "hurts quality" to guide prioritization discussions.

3. Stakeholder Communication

Building understanding and support:

  • Translating technical concerns: Explaining debt in business terms
  • ROI articulation: Demonstrating the return on investment for debt reduction
  • Expectation management: Setting realistic timelines for addressing debt

Practical Strategies for Managing Technical Debt

Leading product teams are implementing several effective approaches:

1. The Debt Allocation Model

Dedicating a fixed percentage of development capacity to debt reduction:

  • Fixed allocation: Reserving 20-30% of each sprint for technical debt work
  • Rotating focus: Alternating between feature-focused and debt-focused sprints
  • Dedicated teams: Creating specialized teams focused on infrastructure and debt reduction

Google's practice of dedicating 20% of engineering time to technical debt has become a benchmark for many organizations.

2. The Boy Scout Rule

Encouraging incremental improvements during regular development:

  • Clean as you go: Improving code that developers touch during feature work
  • Definition of Done: Including debt reduction in acceptance criteria
  • Code review standards: Enforcing quality standards that prevent new debt

This approach distributes debt reduction across the team and prevents debt from accumulating in actively developed areas.

3. Technical Debt Sprints

Periodically focusing the entire team on debt reduction:

  • Hackathons: Organizing focused events to address specific debt categories
  • Cleanup sprints: Dedicating entire iterations to debt reduction
  • Major refactoring projects: Planning larger restructuring efforts between feature releases

Etsy's practice of "Code Health Week" every quarter gives teams dedicated time to address accumulated debt.

4. Debt-Aware Planning

Incorporating debt considerations into product planning:

  • Technical feasibility assessment: Evaluating how debt affects new feature implementation
  • Dependency mapping: Identifying debt that must be addressed before specific initiatives
  • Capacity planning: Accounting for debt-related work in roadmap timelines

Measuring Progress and Impact

Tracking debt reduction efforts requires appropriate metrics:

1. Leading Indicators

Measures that predict future development health:

  • Code complexity: Tracking cyclomatic complexity and other static analysis metrics
  • Test coverage: Monitoring automated test coverage percentages
  • Build health: Tracking build failures and warning counts
  • Dependency freshness: Measuring the age of dependencies relative to current versions

2. Lagging Indicators

Measures that show the impact of debt reduction:

  • Development velocity: Story points or features delivered per sprint
  • Defect rates: Bugs reported in production
  • Time to implement: Duration required to implement new features
  • Developer satisfaction: Team surveys about codebase health

Case Studies: Technical Debt Management in Practice

Several organizations have developed effective approaches to technical debt:

Shopify: The Maintenance Week Model

Shopify implements a regular cadence of maintenance:

  • One week out of every six dedicated to technical debt and infrastructure
  • Clear themes for each maintenance week (e.g., performance, security, developer experience)
  • Celebration of maintenance achievements alongside feature launches

This approach has helped Shopify maintain a sustainable development pace while scaling rapidly.

LinkedIn: The Engineering Efficiency Team

LinkedIn created a dedicated team focused on developer productivity:

  • Identifying and addressing systemic causes of technical debt
  • Building tools to help teams measure and manage their own debt
  • Creating standards and best practices to prevent new debt

This investment has paid dividends through improved development velocity across the organization.

Common Pitfalls and How to Avoid Them

Several common mistakes undermine technical debt management efforts:

1. The "Rewrite Trap"

Complete rewrites rarely solve technical debt problems:

  • Focusing on incremental improvements to existing systems
  • Breaking large refactoring efforts into smaller, value-delivering chunks
  • Ensuring new development doesn't repeat the same patterns that created debt

2. Treating All Debt Equally

Not all technical debt needs to be addressed:

  • Distinguishing between "active" debt in frequently modified code and "passive" debt in stable areas
  • Accepting that some debt may never be worth paying down
  • Focusing efforts on debt with the highest impact on current development

3. Failing to Prevent New Debt

Addressing existing debt while accumulating new debt is counterproductive:

  • Implementing code quality gates and automated checks
  • Creating architectural review processes for significant changes
  • Building technical excellence into team culture and incentives

Looking Ahead: The Evolution of Technical Debt Management

As we progress through 2017, several trends are emerging:

  1. Automated Debt Detection: Tools that automatically identify and quantify technical debt
  2. Technical Debt as a Service: Specialized consultancies focused on debt assessment and reduction
  3. Developer Experience Focus: Treating developer productivity as a product discipline
  4. Cross-Functional Ownership: Shared responsibility for code quality across product and engineering

Conclusion: A Balanced Approach

The most successful product teams recognize that technical debt management isn't about achieving perfection—it's about finding the right balance between short-term delivery and long-term sustainability.

By making technical debt visible, creating space to address it systematically, and preventing excessive new debt, product managers can help their teams maintain a sustainable pace of innovation. This balanced approach ensures that teams can continue to deliver customer value today while preserving their ability to adapt and evolve tomorrow.

As product complexity continues to increase, effective technical debt management will become an increasingly important competitive advantage. Product managers who develop this skill will be better positioned to lead their teams through the challenges of scaling and evolving their products in an increasingly dynamic technology landscape.


This article was written by Nguyen Tuan Si, a product management specialist with experience balancing feature development with technical sustainability across various product categories.