HealthCare.gov — the centerpiece of the Affordable Care Act — was meant to be a digital success. Instead, it crashed within minutes. Millions of Americans faced glitches, crashes, and endless loading screens.
The culprit? Technical debt: rushed development, patchy systems, and last-minute fixes that weren’t ready to scale.
Many businesses fall into the same trap, cutting corners to move faster — only to spend more time and money fixing issues later. If your team is stuck firefighting bugs or delaying launches, it’s time to face the real cost of those shortcuts. Here are five warning signs that technical debt is dragging you down — and how to fix them before it breaks your business.
1. Slow Product Development and Delivery
Are your product updates, new features, or system improvements taking far longer than they should? Technical debt may be the culprit.
What should be a simple update turns into weeks — or even months — of delays because your team is stuck untangling old workarounds, fixing past shortcuts, and navigating outdated systems that weren’t built to scale. Instead of focusing on growth and innovation, they’re spending time paying off past decisions that prioritized speed over long-term efficiency.
According to Libor Suchý, CEO and Solution Architect at Argo22, points out that technical debt doesn’t usually start with major flaws. “In client projects, it often starts as small inefficiencies — an undocumented function here, a quick workaround there,” he says. Over time, these add up. Even the smallest change can become risky and time-consuming, forcing teams to focus more on firefighting than on feature delivery.
According to Suchý, this shift can frustrate both developers and stakeholders alike, as momentum stalls and progress feels sluggish. And the problem isn’t just technical — it ripples throughout the entire business, delaying roadmaps, slowing time-to-market, and sapping team morale.
In software development, for instance, 69% of developers report spending at least eight hours per week on technical debt which accounts for about 20% of their workweek. But the same problem applies across operations, marketing, and other teams when businesses rely on outdated or inefficient systems.
The impact: Slower time to market, missed revenue opportunities, and competitors with more efficient systems gaining the advantage while your teams struggle to keep up.
HealthCare.gov Launch
A high-profile example of how technical debt can derail product delivery is the launch of HealthCare.gov in 2013. The US government’s health insurance website was plagued with performance issues, bugs, and downtime from day one. These problems stemmed from a complex and poorly designed architecture, rushed development, and lack of testing — all hallmarks of unchecked technical debt.
The result? What should have been a straightforward launch turned into a public crisis. Fixing the site required months of work and a massive refactoring effort. By March 2014, the total cost to develop and repair HealthCare.gov had reached $840 million, illustrating how early shortcuts can lead to steep delays and long-term financial consequences.
Is the same happening to your company?
What Can You Learn from This
Fixing slow product development caused by technical debt doesn’t mean stopping everything for a complete overhaul. Instead, businesses should prioritize, refactor, and modernize gradually while keeping operations running.
Here’s how:
- Identify the biggest blockers first: Conduct an internal review to pinpoint which outdated systems, inefficient workflows, or past shortcuts are causing the most delays. Focus on the areas impacting revenue and customer experience first.
- Refactor in phases: Instead of rewriting everything from scratch, break fixes into manageable phases. Tackle critical pain points first, then optimize over time.
- Improve documentation and workflows: Many delays happen because teams waste time deciphering old processes. Standardizing documentation and improving workflows removes friction in product development.
- Invest in scalable solutions: If outdated systems are slowing teams down, transition to modern, integrated tools that support long-term growth rather than just patching existing ones.
2. Inefficient Workflows
Your team is busy — but are they actually productive? If employees spend more time navigating clunky systems, manually entering data, or switching between too many tools, technical debt is likely slowing them down.
Instead of running smoothly, daily operations become fragmented. Teams juggle outdated systems, disconnected tools, and inconsistent processes leading to constant friction. These workflow gaps drain productivity, drive up operational costs, and create scalability challenges that only grow over time.
Inside Amedisys’ IT Breakdown
For example, Amedisys, a home healthcare provider, struggled with inefficient workflows due to technical debt in their IT systems. Employees had to wait for IT support to troubleshoot devices manually — often requiring laptops to be shipped for servicing. This created unnecessary delays and disrupted daily operations, slowing down staff responsible for critical tasks like patient scheduling.
What Can You Learn from This
Fixing inefficient workflows starts with eliminating unnecessary complexity and reducing friction in daily operations. Amedisys streamlined their workflow by switching to a remote management system, allowing IT to resolve issues faster without disrupting employees’ work. This meant fewer delays, less wasted time, and more focus on essential tasks.
Here’s how you can fix yours:
- Map out inefficiencies: Identify which workflows cause bottlenecks, require excessive manual effort, or involve disconnected tools. These are prime areas for improvement.
- Reduce tool sprawl: Many businesses use too many separate apps that don’t sync properly, forcing employees to switch between systems. Replacing redundant tools with one integrated platform improves efficiency.
- Automate high-volume manual tasks: If employees spend hours each week on data entry, approvals, or scheduling, introduce automation tools to eliminate repetitive work and free up time.
- Improve IT support efficiency: Returning to Amedisys, their outdated IT troubleshooting process forced employees to waste time on manual laptop repairs, scheduling remote sessions, and shipping devices for servicing. By switching to a remote management system, they eliminated these unnecessary steps, reducing downtime and improving efficiency.
3. Rising Operational Costs
Upgrading outdated systems may seem expensive at first, but holding onto them is even costlier in the long run. Companies using outdated software face breaches 2.7 times more often than those with updated systems, costing enterprises an average of $554,250 more per incident.
Businesses often delay modernization because of the upfront costs, but outdated technology requires more frequent repairs, specialized support, and inefficient workarounds that drain resources over time.
Fernando Torres, CEO of IEConsultores, highlights the challenge of cost uncertainty when modernizing infrastructure: “Cloud platforms are an excellent option, but we don't know the exact cost projections.”
This lack of clear cost estimations can deter businesses from upgrading, even when modernization would reduce long-term operational costs.
As technology evolves, clinging to legacy systems becomes a financial burden. Older systems often lack compatibility with modern applications, require expensive maintenance, and slow down operations.
Bank of America
Bank of America ran into major roadblocks caused by technical debt in 2024. Its outdated IT infrastructure made it tough to launch new digital services and keep up with ever-evolving financial regulations.
Maintaining these legacy systems reportedly cost the bank around $3 billion a year. Eventually, it had to face the issue head-on, investing over $1 billion in a large-scale modernization effort to streamline operations and reduce the long-term cost of technical debt.
What Can You Learn from This
Instead of treating upgrades as an expense, businesses should see them as an investment in long-term efficiency and cost savings. Here’s how to do it strategically:
- Conduct a cost-benefit analysis: Assess the total cost of maintaining outdated systems versus the investment needed for modernization. Many companies delay upgrades due to upfront costs, but a long-term analysis often reveals significant savings from reduced maintenance, fewer breakdowns, and improved efficiency.
- Prioritize system upgrades: Identify the most costly and inefficient systems and replace them first. Modernizing in phases prevents disruption while gradually reducing technical debt.
- Adopt scalable technologies: Investing in Industry 4.0 solutions — such as automation, real-time data tracking, and smart manufacturing — helps companies future-proof their operations and cut long-term costs.
- Optimize production processes: Returning to the plastics manufacturing company, they optimized their production by implementing Lean Manufacturing principles and upgrading to Industry 4.0 technologies. This included value stream mapping, Six Sigma, and the Theory of Constraints to eliminate inefficiencies.
As a result, they reduced production costs by 15% and increased production speed by 20%, making operations more cost-efficient and competitive.
4. Frustrated Employees and High Turnover
Technology should make work easier — but when outdated systems create more problems than they solve, employees get frustrated. Instead of doing their jobs efficiently, they waste time dealing with slow software, fixing recurring issues, or finding workarounds for broken processes.
For highly skilled employees, this friction is especially demotivating. When they constantly battle inefficiencies instead of focusing on meaningful work, engagement drops. Over time, they burn out, disengage, or leave for companies with better technology and smoother workflows.
Suchý also notes that poor documentation and outdated systems make onboarding difficult: “Hiring new developers becomes a challenge because they struggle to navigate a messy codebase.”
ORGUS’ Burnout Crisis
An example of high turnover caused by technical debt is ORGUS, an IT department providing software, infrastructure, and other IT services. In a case study published in 2020, employees weren’t just frustrated — they were exhausted. Instead of working on new projects, they spent most of their time battling outdated systems, fixing old code, and navigating poor documentation.
The constant firefighting took a toll, making their work feel more like a maintenance job than an opportunity for growth.
It resulted in a staggering 32.28% turnover rate. As experienced employees left, knowledge gaps widened, and new hires struggled to get up to speed. With critical system knowledge undocumented, productivity dropped, and turnover triggered a cycle of increased hiring and training expenses — estimated at 50% of an employee’s annual salary.
What Can You Learn from This
Companies often assume that high turnover is just a talent retention issue, but when employees leave due to technical debt, the real problem isn’t culture — it’s friction. Fixing the root cause means removing inefficiencies that frustrate employees and make their jobs harder.
Here’s how to do it:
- Reduce daily frustrations: Identify the most time-consuming bottlenecks in your systems. If employees frequently fix the same recurring issues, wait on slow tools, or struggle with outdated processes, those pain points need immediate attention.
- Improve knowledge documentation: ORGUS faced knowledge gaps because critical system information wasn’t well-documented. Businesses can prevent this by implementing clear documentation practices, internal wikis, and standardized onboarding guides.
- Dedicate time for technical debt reduction: Instead of letting issues pile up, set aside regular time for refactoring and process improvements — even small fixes can improve daily workflows and prevent burnout.
- Upgrade outdated tools strategically: Investing in better collaboration software, automation, and modern infrastructure makes work more efficient and prevents frustration from inefficient tools.
5. Declining Customer Satisfaction and Churn
Technical debt slows down internal teams and directly impacts customers. When companies build on outdated code, rely on legacy systems, or delay critical fixes, customers experience bugs, slow performance, and service disruptions — and they may take their business elsewhere.
Even if your product is great, technical debt can create friction points — slow checkout processes, constant service outages, or laggy interfaces — that make customers reconsider their loyalty. Over time, these seemingly small issues add up, damaging your reputation and bottom line.
Knight Capital’s Costly Software Failure
In 2012, Knight Capital Group, a prominent financial services firm, experienced a catastrophic software failure that underscores the severe impact technical debt can have on customer trust and business viability. The company deployed new trading software without adequate testing, which inadvertently activated obsolete code.
This oversight caused the system to execute unintended trades, resulting in a loss of approximately $440 million in under an hour. The incident not only led to significant financial loss but also severely damaged Knight Capital's reputation, ultimately leading to its acquisition by another firm.
What happened illustrates how unaddressed technical debt can lead to system failures that directly affect customers, causing service disruptions and eroding trust.
What Can You Learn from This
Fix customer-facing technical debt before it starts driving users away. Here’s how to do it:
- Prioritize customer-impacting issues: Identify the most frustrating bugs, performance bottlenecks, or service interruptions affecting users — and fix those first.
- Monitor technical debt proactively: Regularly audit your systems for slow load times, frequent crashes, and outdated dependencies before they escalate.
- Invest in scalable infrastructure: If legacy systems are slowing your business down, upgrading to modern, cloud-based solutions ensures long-term reliability and better performance.
- Create a long-term tech roadmap: Balance new feature development with consistent technical debt reduction to avoid patchwork fixes that frustrate customers over time.
How To Fix Technical Debt Strategically — and When To Bring In Experts
Not all technical debt needs immediate attention, and not all of it can (or should) be solved in-house. The key is to fix what matters most without disrupting business operations.
- Identify and prioritize what’s holding you back most: Focus on revenue-critical systems and customer-impacting issues first. Use internal reviews, team feedback, and tech audits to map out problem areas. Also, don’t fix everything — prioritize solutions that move the needle.
- Balance quick wins and long-term solutions: Address urgent issues that disrupt daily operations. Plan for long-term fixes like system overhauls, integrations, or rebuilds. Document everything to prevent new debt from forming.
- Know when to seek external help: Sometimes, technical debt runs too deep for internal teams to handle alone. If your team is stretched thin, lacks expertise, or keeps applying short-term fixes, it’s time to bring in experts.
Agencies and expert partners can:
✔ Run comprehensive tech audits to uncover hidden inefficiencies.
✔ Implement scalable, long-term solutions that prevent future debt.
✔ Optimize systems efficiently without disrupting business operations.
Our team ranks agencies worldwide to help you find a qualified partner. Visit our Agency Directory for the top software development companies, as well as:
- Top Software Companies in Nashville
- Top Software Consulting Companies
- Top Custom Software Development Companies for Small Business
- Top Mobile App Development Companies
- Top Software Outsourcing Companies
Our design experts also recognize the most innovative design projects across the globe. Visit our Awards section for the best & latest in app designs.
Technical Debt: FAQs
1. How do I know if my business has technical debt?
If your team spends more time fixing issues than innovating, struggles with slow or outdated systems, or finds that new updates break existing functionality, technical debt is likely a problem. Regular tech audits and team feedback can help identify hidden inefficiencies.
2. Can technical debt ever be a good thing?
Yes — when managed strategically. Some technical debt is intentional, allowing businesses to launch faster and iterate later. The key is ensuring it’s documented, planned for, and addressed before it becomes a long-term liability.
3. How much does it cost to fix technical debt?
Costs vary depending on the severity and scope of the debt. Small fixes may require in-house optimization, while larger issues — like system overhauls or cloud migrations — often need external expertise. A cost-benefit analysis helps determine the smartest investment.
