Product Technical Debt: When Ignoring It Costs Too Much

The issue of technical debt is especially relevant today, where the speed of getting a product to market often wins out over the quality of the code. 

Agile methodologies, continuous integration and delivery (CI/CD), and the ever-increasing complexity of software systems create a perfect storm where technical debt can pile up quietly but very, very quickly.

The main challenge for any development team is finding the right balance between building new features quickly and maintaining a healthy codebase. Ignoring technical debt can lead to serious problems, from critical system failures to a point where you can't develop the product any further at all.

In this article, we'll explore where technical debt comes from, look at the real consequences of ignoring it, and suggest smart strategies for its effective management.

Sources of Technical Debt

Technical debt doesn't appear overnight. It builds up gradually from different sources throughout the entire process of developing and running software.

Incidents and Problems from ITSM Processes

IT Service Management (ITSM) processes are often the first to flag issues that can turn into technical debt. For example:

• Recurring incidents that keep happening, pointing to a deeper problem in the software's architecture or code;
• Temporary workarounds that are put in place to get a service back up and running quickly but don't actually fix the root cause;
• Delays in fixing known problems because there aren't enough resources, or because building new features is seen as a higher priority.

These aspects of ITSM can create a "hidden" technical debt that isn't always visible to the development team but has a big impact on your product's quality and users' satisfaction.

Internal Development Processes

The development process itself can generate technical debt:

• Regression testing finds new bugs caused by recent changes, but fixing them gets pushed back to meet a release deadline;
• Bugs that developers find themselves often lead to quick-and-dirty fixes or a decision to deal with "non-urgent" problems later;
• Tight deadlines can force teams to make poor architectural choices or skip important refactoring work.

These sources are particularly sneaky because they often feel like a "normal" part of development, which means they tend to be systematically ignored. 

Other Sources

Technical debt can also creep in from less obvious places:

• Poor documentation: When technical documentation is missing or out of date, it makes it much harder to support and improve the product;
• Known performance issues: A decision is made to put off optimization until a certain scale of use is reached;
• Outdated technology: Using old libraries and frameworks because it's too complicated to migrate to newer versions;
• Inconsistent development standards: Different parts of the system, written to different standards, complicate maintenance.

The Consequences of Accumulating Technical Debt

Ignoring technical debt might seem harmless in the short term, but its long-term effects can be disastrous. Let's look at the real-world consequences of letting technical debt build up, which can cause serious damage to your business and reputation.

Critical Failures and Financial Losses

Unexpected system crashes during busy periods or security holes that lead to data breaches can cost a company a fortune. This is especially true for "Business Critical" systems — the ones your core business operations depend on. These kinds of incidents don't just lead to direct financial losses; they also do long-term damage to your company's reputation, which can mean losing customers and seeing your market value drop. Ignoring technical debt makes these situations more likely, putting your business's stability and competitiveness at risk.

More Time Spent Analyzing and Solving Problems

As technical debt grows, your system becomes more complex. This leads to:

• It taking longer to figure out what's causing a bug and how to fix it;
• Needing to pull in more people to solve even relatively simple problems;
• A higher risk that any new changes will have unexpected side effects because the system has become so tangled.

All of this not only slows down the development of new features but also makes it much more expensive to support the product.

A Drop in Development Efficiency

Lower development efficiency is an unavoidable result of piling up technical debt. New developers take longer to get up to speed with the architectural base, and your experienced team members have to constantly switch between building new features and putting out fires caused by old technical debt. This leads to a drop in team morale and a significant reduction in its productivity.

Reduced Product Quality and User Satisfaction

Your end-users also feel the pain of technical debt through a lower-quality product. Crashes become more frequent, new features take longer to appear, and the system's performance gets worse over time. All of this makes users less satisfied with your product, which can lead to them leaving for a competitor and you losing market share.

Effective Technical Debt Management

Let's look at some key ways to manage technical debt that will help your development teams keep their projects healthy and sustainable.

The "20% Time" Principle

This approach has become a kind of gold standard in software development. The idea is that the team dedicates about a fifth of its time to refactoring, optimizing, and paying down technical debt. This allows you to continuously improve the quality of your code and architecture without having to stop developing new features. It's important to remember that this isn't a strict rule, but more of a guideline that you can adjust based on your project and current situation.

Prioritizing Tasks

Prioritizing technical debt tasks is a critical part of managing it. Not all technical debt is equally urgent, and your team needs to be able to identify the most critical areas to fix. The prioritization process should look at the impact on business goals, the risks involved, and how difficult a fix will be.

Teams can use different methods to help with prioritization:

• MoSCoW (Must have, Should have, Could have, Won't have): Helps prioritize tasks based on their importance for the project;
• RICE (Reach, Impact, Confidence, Effort): Evaluates tasks based on their potential reach, impact, confidence in estimates, and required effort;
• ICE (Impact, Confidence, Ease): A simplified version of RICE, focusing on impact, confidence, and ease of implementation;
• WSJF (Weighted Shortest Job First): Considers both the business value of a task and the time to complete it.

The right method depends on your project and what your team prefers. For example, technical debt that's hurting your system's performance or security should almost always be a top priority. Using a prioritization matrix that considers both urgency and importance can be a big help here.

Integrating Technical Debt Work into the Development Lifecycle

Instead of thinking of work on technical debt as something separate, it should be a regular part of your development process. This could mean adding refactoring tasks to your sprints, holding regular code reviews that specifically look for potential technical debt, or using automated code analysis tools as part of your continuous integration process.

Bringing SDLC and ITSM Together 

Integrating your Software Development Life Cycle (SDLC) and IT Service Management (ITSM) approaches gives you a complete picture of your product's health, combining development data with information about how the system is running in the real world. 

For example, analyzing incidents and problems from your ITSM system can uncover hidden technical debt that the development team might not see. And in turn, information from the development processes can help the support team better understand the root causes of recurring problems.

For this integration to work well, your tools should:

• Allow you to manage your backlog, including technical debt tasks, in one central place;
• Have features for visualizing and analyzing the connections between technical debt and your business processes;
• Support automated metric collection and reporting to see your progress on paying down debt;
• Be flexible enough to set up workflows that work for both development and operations.

Practical Steps for Managing Technical Debt

1.Create and Keep Up a Technical Debt Backlog

The first step is to get all your technical debt organized. Create a separate backlog just for these tasks. Make sure it's accessible to the whole team and is regularly updated. This backlog should include:

• A description of the problem;
• An assessment of its impact on the product and the business;
• A rough estimate of the complexity and time to fix;
• The potential risks of not fixing it.

 2.Regularly Review and Re-Prioritize

Technical debt is always changing, and so are its priorities. Set up a regular process to review your technical debt backlog:

• Hold monthly or quarterly reviews of the backlog;
• Bring in developers, architects, and business representatives to the discussion;
• Assess changes in business priorities and their impact on technical debt;
• Adjust your priorities based on the new information and changing circumstances.

3.Incorporate Technical Debt Work into Sprints

It's crucial that work on technical debt is seen as an integral part of the development process, not a separate or secondary activity. Building this work into your regular process is key to making steady progress:

• Set aside a certain percentage of each sprint for technical debt tasks (e.g., 15-20%);
• Include refactoring and optimization in your "Definition of Done" for new features;
• Encourage developers to suggest improvements to the code and architecture as part of their daily work;
• You can create a separate swimlane on your task board for technical debt or use special tags to make these tasks visible.

4.Monitor and Measure Your Progress

To effectively manage technical debt, you need to measure it and track your progress.  Visualizing your progress will help keep the team motivated and make it easier to justify this work to stakeholders. Try these practices:

• Define key metrics for your technical debt (e.g., build time, test coverage, code complexity);
• Use static code analysis tools to automatically spot problem areas;
• Create a dashboard to show the current state of your technical debt and your progress in reducing it;
• Regularly report on progress to the team and leadership.

5.Integrate with Your Change Management Processes

Connect your technical debt management with your organization's overall change management processes. This approach ensures that technical debt is considered at all stages of the product lifecycle.

• When planning big changes or new features, think about how they might affect your existing technical debt;
• Look for opportunities to reduce technical debt when you're bringing in new technologies or making architectural changes;
• Integrate an analysis of technical debt into your product development decision-making process.

Conclusion

• Technical debt is an unavoidable reality of software development. Ignoring it can lead to serious consequences, like critical failures, a drop in your team's efficiency, and a lower-quality product.
• It comes from many sources, including your ITSM processes and your internal development workflows.
• Managing it effectively requires a systematic approach. This means regularly setting aside time to work on it and closely integrating your development (SDLC) and IT service management (ITSM) processes.
• Practical steps you can take include creating a dedicated backlog, regularly reviewing your priorities, and making work on technical debt a normal part of your sprints.
• Investing in managing your technical debt is an investment in your product's future, ensuring it stays flexible and competitive. SimpleOne SDLC provides a comprehensive set of tools to help you manage your technical debt effectively, including tools for visualization, prioritization, and integrating these tasks into your overall development process.