Technical Debt: What It Is and How to Keep It Under Control

Why Technical Debt Becomes a Business Problem, Not Just a Developer Problem

Technical debt becomes a serious problem when quick technology decisions start slowing delivery, increasing cost and making software harder to change. Founders and business owners may first notice it as missed deadlines, vague supplier updates, repeated bugs, rising support effort or developers saying “that simple change is more complex than expected.” The good news is that technical debt can be managed when it is visible, prioritised and connected to business outcomes. I have seen teams regain confidence by treating technical debt as a normal leadership issue, not a shameful technical mess hidden under the rug.

Technical debt is not always bad.

That may sound odd, but it is true. Sometimes a business takes a shortcut to test an idea, launch faster or meet an urgent need. That can be sensible if the trade-off is understood.

The trouble starts when the shortcut is forgotten.

That forgotten shortcut becomes a slow leak in the business. It adds friction to delivery, frustrates people, increases risk and makes future change harder.

Takeaways

What Is Technical Debt?

Technical debt is the future cost created when software, systems or technology decisions are made in a way that is faster now but harder to maintain later.

It is called “debt” because the business gets a short-term benefit, but may need to pay interest later. That interest appears as slower delivery, more bugs, higher maintenance costs, weaker security, harder onboarding and more time spent fixing old issues.

IBM describes technical debt as the future costs linked to shortcuts or suboptimal decisions in software development, including quick fixes, poor documentation and reliance on outdated code. (IBM)

Atlassian describes technical debt as future costs from quick or suboptimal software solutions that can increase maintenance and risk. (Atlassian)

In plain English:

Technical debt is what happens when yesterday’s shortcuts make today’s work harder.

That does not mean everyone made poor decisions.

Technical debt can appear because:

• The business needed speed.
• Requirements changed.
• The team lacked time.
• A supplier made weak design choices.
• Documentation was skipped.
• Testing was thin.
• The platform grew faster than expected.
• A temporary workaround became permanent.
• The original team left.
• The product succeeded and outgrew its early design.

Success can create technical debt too.

A product built quickly for 100 users may struggle at 10,000. That is not always failure. It may simply mean the business has reached a new stage and needs stronger foundations.

Technical Debt Examples Business Owners Can Recognise

Technical debt is often invisible to non-technical leaders until it affects delivery.

Here are common examples.

Old Code That Is Hard to Change

Developers avoid changing certain parts of the system because they are fragile, poorly written or poorly understood.

The business impact is simple: small changes take too long.

Poor Documentation

No one clearly understands how the system works, why decisions were made or how to support it.

This creates risk when developers leave or suppliers change.

Manual Deployment

Releases require manual steps, special knowledge or late-night heroics.

This increases the chance of mistakes and makes delivery stressful.

Weak Automated Testing

The team does not have enough automated tests to catch problems early.

Bugs appear late. Releases become risky. Confidence drops.

Poor Architecture

The system was not designed to support current business needs.

This may affect performance, reporting, integrations, security or future growth.

Duplicated Code or Systems

The same logic, data or process exists in multiple places.

This creates inconsistency and makes changes more expensive.

Fragile Integrations

Systems connect through brittle scripts, manual exports or unsupported workarounds.

The business impact shows up as data errors, broken workflows and staff frustration.

Outdated Technology

The business relies on old frameworks, unsupported versions or systems that are hard to maintain.

This can increase cyber risk and make hiring harder.

One Person Holds Critical Knowledge

One developer, supplier or staff member knows how everything works.

That may feel convenient until they go on leave, resign or decide to move to Tasmania and grow garlic. Good for them. Less good for your platform.

Technical Debt vs Bugs

Technical debt and bugs are related, but they are not the same.

A bug is something that does not work as expected.

Technical debt is a weakness in how the system is built, maintained or supported.

Area	Bug	Technical Debt
Meaning	A defect or incorrect behaviour	A design, code, process or system weakness that creates future cost
Visibility	Often visible to users or testers	Often hidden until change is needed
Example	Payment button fails	Payment code is fragile and hard to update
Impact	Immediate problem	Ongoing slowdown, risk or cost
Fix approach	Repair the defect	Improve structure, quality, process or documentation
Business question	What is broken?	Why is change becoming harder?

A bug may be caused by technical debt.

For example, repeated payment errors may be symptoms of deeper problems in payment integration, testing or system design.

Fixing the bug may solve today’s issue. Managing the technical debt reduces the chance of tomorrow’s repeat issue.

Why Technical Debt Matters to Founders and SMEs

Technical debt matters because it affects business performance.

It is not just a developer complaint.

Uncontrolled technical debt can cause:

• Slower delivery
• Higher development cost
• More rework
• More bugs
• Poor customer experience
• Staff frustration
• Increased supplier dependency
• Higher cyber risk
• Lower investor confidence
• Harder hiring
• More expensive future rebuilds
• Reduced ability to scale

A systematic literature review on technical debt in Agile software development found common consequences including reduced productivity, system degradation and increased maintenance cost. It also found that making technical debt visible and refactoring are important management strategies. (arXiv)

That lines up with what I see in practice.

Businesses rarely wake up one morning and say, “We have technical debt.” They say things like:

• “Why is everything taking longer?”
• “Why does this supplier keep saying it is complicated?”
• “Why do small changes keep breaking other things?”
• “Why do we need a rebuild?”
• “Why can’t anyone give me a straight answer?”
• “Why are developers so nervous about releasing?”

Those are often business symptoms of technical debt.

What Causes Technical Debt?

Technical debt has many causes. Some are intentional. Some are accidental.

Speed Pressure

The team takes shortcuts to meet a deadline.

This may be reasonable for an MVP, emergency fix or temporary workaround. But the shortcut must be recorded and repaid later.

Unclear Requirements

The business keeps changing direction, or the team builds before the problem is understood.

This creates rework and messy design.

Weak Product Ownership

Developers receive tasks without clear business context.

They build what is requested, but the product becomes harder to maintain because no one is guiding the whole picture.

Poor Supplier Management

External developers or agencies make technical decisions without enough oversight.

The business may not know whether the choices are sensible until later.

Lack of Testing

Testing is skipped to save time.

The team moves faster briefly, then slows down later because each change becomes risky.

No Time for Refactoring

Refactoring means improving the structure of code without changing what the software does for users.

If refactoring is never allowed, the system becomes harder to change.

Outdated Technology

Old frameworks, libraries, plugins or platforms are left untouched for too long.

This can lead to security, hiring and support problems.

Poor Documentation

The team does not write down key decisions, system behaviour or support steps.

This makes onboarding harder and increases dependence on individuals.

AI-Generated Code Without Review

AI tools can help developers move faster, but code still needs review, testing and architectural judgement.

A recent CIO article warned that AI-generated code should not be given a free pass and stressed the need for governance, measurement and prioritisation when managing technical debt. (CIO)

AI is a useful tool. It is not a substitute for engineering discipline.

Different Types of Technical Debt

Technical debt is not only code.

It can appear across the product, system and team.

Type of Debt	What It Means	Business Impact
Code debt	Messy, duplicated or hard-to-change code	Slower development and more bugs
Architecture debt	Poor system design or weak foundations	Harder scaling and integration
Testing debt	Too little automated or repeatable testing	Risky releases and more defects
Documentation debt	Missing or outdated information	Harder onboarding and supplier dependency
Infrastructure debt	Fragile hosting, deployment or environment setup	Reliability and security risk
Security debt	Weak controls or unpatched systems	Higher cyber risk
Data debt	Poor data quality or inconsistent reporting	Weak decision-making
Process debt	Poor delivery practices or unclear ownership	Delays and rework
UX debt	Clumsy user experience from rushed design	More support calls and lower adoption
Vendor debt	Over-reliance on supplier knowledge or custom work	Higher switching cost and lower control

This is why technical debt management needs leadership.

If you treat debt only as code cleanup, you will miss the bigger picture.

How Much Technical Debt Is Acceptable?

Some technical debt is acceptable.

No business can make every technical decision perfectly. Time, money, market pressure and uncertainty always play a role.

The question is not, “Can we avoid all technical debt?”

The better question is, “Do we understand the debt we are taking on, and do we have a plan to manage it?”

Technical debt is more acceptable when:

• It is intentional.
• It is recorded.
• It has a clear reason.
• The business understands the trade-off.
• It does not create major security risk.
• It has an agreed repayment point.
• It helps test an idea or reach a valuable milestone.

Technical debt is dangerous when:

• No one knows it exists.
• It affects critical systems.
• It slows every change.
• It increases security risk.
• It depends on one person.
• It blocks scaling.
• It creates repeated customer problems.
• It is ignored in planning and budgets.

Think of it like financial debt.

A sensible business loan can help growth. Hidden debt with no repayment plan can sink the business.

How to Identify Technical Debt

You do not need to be a developer to spot signs of technical debt.

Look for patterns.

Delivery Signals

• Simple changes take too long.
• Releases are delayed.
• Estimates keep growing.
• Developers are nervous about touching parts of the system.
• New features require unexpected rework.
• Work gets stuck in testing.

Quality Signals

• Bugs keep returning.
• Support tickets are rising.
• Fixes create new problems.
• Testing is mostly manual.
• Customers report the same issues repeatedly.

People Signals

• Developers are frustrated.
• New team members take too long to onboard.
• One person holds too much knowledge.
• Suppliers give vague explanations.
• Staff create workarounds outside the system.

Business Signals

• Costs are rising without clear progress.
• The roadmap keeps slipping.
• Investors or buyers ask hard questions.
• Staff lose confidence in the platform.
• Customers complain about reliability or usability.

A technical debt review should gather evidence from several sources:

• Developer interviews
• Supplier review
• Code review
• Architecture review
• Support data
• Incident history
• Delivery metrics
• Customer feedback
• System documentation
• Security review

For businesses preparing for investment, acquisition or a major platform decision, Due Diligence Services can help identify debt before it becomes a negotiation problem.

How to Measure Technical Debt

You cannot manage technical debt well if it remains vague.

Useful measures include:

• Number of known debt items
• Severity of each item
• Time lost to rework
• Defect rate
• Support ticket volume
• Release failure rate
• Deployment time
• Time to onboard a developer
• Age of key dependencies
• Test coverage
• Number of undocumented systems
• Number of critical single-person dependencies
• Maintenance cost as a percentage of development effort
• Cycle time for common changes

Do not obsess over perfect measurement.

Start with simple signals that help decisions.

For example:

Debt Area	Simple Metric	Why It Matters
Testing debt	Percentage of critical workflows covered by tests	Shows release confidence
Documentation debt	Number of key systems with current support notes	Reduces knowledge risk
Code debt	Rework hours per month	Shows hidden delivery cost
Security debt	Critical vulnerabilities open	Shows risk exposure
Vendor debt	Systems only supplier understands	Shows dependency risk
Delivery debt	Average cycle time	Shows speed of change

Make debt visible enough that business leaders can discuss it.

Technical debt should not live only in developer complaints or vague supplier comments.

How to Prioritise Technical Debt

Not all technical debt deserves immediate attention.

Some debt is annoying but low risk. Some debt is dangerous and should be addressed quickly.

Use a simple prioritisation framework.

Score each debt item from 1 to 5 across these areas:

1. Business impact: Does it affect customers, revenue, staff productivity or delivery?
2. Risk: Does it create security, reliability, compliance or operational risk?
3. Frequency: How often does it cause pain?
4. Change impact: Does it slow important future work?
5. Fix effort: How hard is it to address?
6. Dependency: How many systems, teams or features depend on it?

A technical debt prioritisation framework should consider severity, system dependency, scale and cost of fixing, among other criteria. (help.ducalis.io)

Academic work has also explored business-driven technical debt prioritisation, connecting debt decisions to business processes and decision-making rather than treating debt as a purely technical backlog. (arXiv)

Here is a practical version:

Debt Item	Business Impact	Risk	Frequency	Future Impact	Fix Effort	Priority
Payment integration is fragile	5	5	4	5	3	Very High
Admin screen code is messy	2	1	2	2	2	Low
No automated tests for checkout	5	4	3	5	4	High
Outdated dependency with security issue	4	5	2	4	2	Very High
Missing onboarding documentation	3	3	4	4	2	High

This approach helps business leaders and developers have a better conversation.

It turns “the code is bad” into “this issue is slowing checkout changes and increasing payment risk.”

That is much more useful.

Add Technical Debt to the Product Roadmap

Technical debt should not sit in a hidden developer backlog forever.

If debt affects delivery, risk or customers, it belongs in roadmap conversations.

This does not mean every sprint becomes cleanup. It means technical health is treated as part of product health.

A practical roadmap might include:

• Customer-facing features
• Technical debt reduction
• Security improvements
• Reliability work
• Documentation
• Testing improvements
• Infrastructure updates
• Performance improvements

For example:

Roadmap Theme	Work Item	Business Reason
Improve checkout reliability	Refactor payment integration	Reduce failed payments and support calls
Improve release confidence	Add automated tests for core workflows	Reduce release risk
Reduce supplier dependency	Document deployment process	Improve business control
Improve security	Upgrade outdated libraries	Reduce cyber risk
Speed up delivery	Simplify order processing code	Reduce change effort

This is where IT Strategy and product roadmap planning connect.

A strategy that ignores technical debt may look good on paper, but delivery will eventually suffer.

Practical Strategies to Reduce Technical Debt

Technical debt management is a continuous process of identifying, monitoring, prioritising and reducing debt. (getstream.io)

Here are practical ways to keep it under control.

1. Make Technical Debt Visible

Create a technical debt register.

Keep it simple.

Include:

• Debt item
• Description
• Business impact
• Risk level
• Owner
• Proposed fix
• Estimated effort
• Priority
• Target timing
• Status

The goal is visibility, not bureaucracy.

2. Define a Clear Definition of Done

A definition of done sets the quality bar before work is considered complete.

It may include:

• Code reviewed
• Tests written or updated
• Security checked
• Documentation updated
• Acceptance criteria met
• Deployment process confirmed
• Support impact understood

Atlassian recommends strict definitions of done, automated testing and continuous integration as Agile practices that help control technical debt. (Atlassian)

3. Allocate Regular Capacity

Do not wait for a “technical debt month”.

That often becomes a battle between business and development.

Instead, allocate regular capacity.

For example:

• 10 to 20 percent of each sprint for technical health
• One debt item attached to each related feature
• Monthly technical risk review
• Quarterly architecture review
• Debt reduction built into roadmap themes

The exact number depends on your product and risk.

4. Fix Debt Near Related Work

The best time to fix debt is often when the team is already working in that area.

If you are changing checkout, improve checkout tests.

If you are updating user management, review access control.

If you are touching reporting, clean up the related data issues.

This reduces context switching and makes debt work easier to justify.

5. Use Refactoring Deliberately

Refactoring improves internal structure without changing external behaviour.

It is like reorganising a storeroom so staff can find things faster. Customers may not see it directly, but the business feels the benefit.

Refactoring should be purposeful.

Do it to reduce risk, improve maintainability or support upcoming change.

6. Improve Automated Testing

Automated tests help teams change software with more confidence.

They are especially useful around:

• Payments
• Login
• Customer workflows
• Data processing
• Integrations
• Reporting
• Security-sensitive actions

Testing does not remove all risk. It reduces avoidable surprises.

7. Strengthen Documentation

Documentation does not need to be perfect.

It needs to be useful.

Start with:

• System overview
• Key workflows
• Deployment steps
• Architecture decisions
• Support procedures
• Known risks
• Integration notes
• Supplier responsibilities
• Incident response steps

Memory is not a governance model.

Useful documentation reduces dependency on memory.

8. Review Supplier Decisions

If external suppliers build or maintain your software, technical debt management must include supplier oversight.

Ask:

• What technical debt exists?
• What shortcuts were taken and why?
• What documentation exists?
• What testing exists?
• What dependencies are outdated?
• What would slow future delivery?
• What should be fixed before the next major phase?

Vendor Management Services can help make these conversations clearer and more accountable.

9. Include Security Debt

Security debt is technical debt with sharper teeth.

It may include:

• Weak passwords
• No multi-factor authentication
• Old software versions
• Poor access control
• Unpatched systems
• Shared accounts
• Missing backups
• Unknown supplier access
• No incident response plan

Frameworks such as the ASD Essential Eight, NIST Cybersecurity Framework and ISO/IEC 27001 can help prioritise security improvements.

For SMEs, Cybersecurity Advice should focus on practical controls that reduce real risk.

10. Build Better Delivery Habits

Technical debt grows when poor delivery habits become normal.

Better habits include:

• Clear acceptance criteria
• Code reviews
• Automated testing
• Smaller releases
• Continuous integration
• Regular retrospectives
• Clear ownership
• Technical design review for major changes
• Better backlog refinement
• Stronger product ownership

For software teams, Agile Coaching can help improve these habits without turning delivery into process theatre.

The Agile Manifesto still has useful guidance here: working software, collaboration and response to change matter more than heavy process for its own sake. Agile Manifesto

Technical Debt Management Framework for SMEs

Here is a practical framework I use when helping business owners make sense of technical debt.

Step 1: Find It

Use interviews, reviews, support tickets, delivery metrics and supplier discussions to identify debt.

Do not rely on one person’s opinion.

Step 2: Describe It in Plain English

Avoid vague labels like “bad code”.

Describe the issue in business terms.

Example:

“The payment integration is fragile, so checkout changes take longer and create higher release risk.”

Step 3: Measure the Impact

Estimate the cost or risk.

Ask:

• How often does it slow us down?
• How many hours are lost?
• Does it affect customers?
• Does it increase security risk?
• Does it block roadmap work?
• Does it create supplier dependency?

Step 4: Prioritise

Use business impact, risk, frequency, future impact and fix effort.

Step 5: Add It to the Roadmap

Debt should compete fairly with features.

Do not hide it.

Step 6: Assign Ownership

Every debt item needs an owner.

This may be a tech lead, developer, supplier, product owner or CTO.

Step 7: Fix in Small Batches

Avoid giant cleanup projects unless the situation is severe.

Small, steady improvement is usually better.

Step 8: Prevent New Debt

Use better delivery practices, reviews, testing, documentation and governance.

Step 9: Review Regularly

Hold a monthly or quarterly technical debt review.

Keep it practical.

How to Explain Technical Debt to Non-Technical Stakeholders

Technical debt becomes easier to manage when business leaders understand it.

Avoid developer-only language.

Use business impact.

Instead of saying:

“The service layer is poorly abstracted.”

Say:

“This part of the system is hard to change, which means the customer portal improvements will take longer and carry more risk.”

Instead of saying:

“We need to refactor the checkout module.”

Say:

“We need to improve the checkout code so payment fixes are faster and less likely to break other parts of the system.”

Instead of saying:

“There is no CI/CD pipeline.”

Say:

“Releases rely on manual steps, which increases the chance of mistakes and slows delivery.”

Plain English does not dumb things down.

It makes better decisions possible.

Technical Debt and Digital Transformation

Digital transformation can create technical debt if it is rushed or poorly governed.

This happens when businesses:

• Automate broken processes
• Customise platforms too heavily
• Skip integration planning
• Ignore data quality
• Build around one supplier
• Forget documentation
• Avoid change management
• Add tools without retiring old ones

Recent coverage of IT service management platforms warns that rapid expansion and customisation without governance can create technical debt that increases maintenance cost and blocks future change. (TechRadar)

For SMEs, Digital Transformation should focus on practical outcomes, not tool collecting.

A good question is:

Will this technology make work simpler, safer or more valuable?

If the answer is no, pause.

When Should You Pay Down Technical Debt?

You should pay down technical debt when the cost of carrying it is higher than the cost of fixing it.

Good times to address debt include:

• Before a major product release
• Before scaling user numbers
• Before investor due diligence
• Before changing suppliers
• Before hiring new developers
• Before building new features in a fragile area
• After repeated incidents
• When security risk is high
• When support tickets keep rising
• When delivery speed has clearly dropped

You do not need to fix everything.

Start with debt that affects customers, revenue, delivery speed, security or major roadmap work.

When Is a Rebuild the Right Answer?

A rebuild is sometimes needed, but it should not be the default answer.

Rebuilds are expensive, risky and often underestimated.

Before rebuilding, ask:

• What specific problems are we solving?
• Can targeted refactoring solve them?
• Which parts are actually broken?
• What business value will the rebuild create?
• What risks does the rebuild introduce?
• How will we avoid rebuilding the same problems?
• Can we migrate in stages?
• What happens to current customers during the rebuild?
• Who owns the architecture decision?
• How will we measure success?

A rebuild may be right when:

• The platform cannot support business goals.
• Security risk is too high.
• The technology is unsupported.
• Delivery is severely blocked.
• Maintenance cost is unsustainable.
• The architecture cannot support required change.

A rebuild is not right just because the code is untidy.

Untidy can often be managed.

Unfit for purpose is different.

This is where Fractional CTO services can help. A senior technology leader can assess whether the business needs refactoring, targeted repair, supplier change, architecture improvement or a full rebuild.

Technical Debt and Project Management

Technical debt affects project delivery.

It makes estimates harder, increases rework and creates hidden dependencies.

If your project plan does not account for technical debt, the plan may look neat but fail in delivery.

Project Management should include technical risk review, especially for software projects.

Useful project questions include:

• Which parts of the system are fragile?
• What technical risks could affect timelines?
• What assumptions are hidden in estimates?
• What dependencies are unclear?
• What testing is needed?
• What documentation is missing?
• What debt should be addressed before delivery?
• What debt can be safely delayed?

This helps avoid false certainty.

A good project plan tells the truth early.

Common Mistakes With Technical Debt

Mistake 1: Pretending It Does Not Exist

Ignoring technical debt does not remove it.

It usually compounds.

Mistake 2: Treating All Debt as Bad

Some debt is a conscious trade-off.

The problem is unmanaged debt, not every shortcut.

Mistake 3: Letting Developers Discuss It Only With Developers

Technical debt affects business outcomes.

Business leaders need plain-English visibility.

Mistake 4: Waiting for a Big Cleanup Project

Large cleanup projects are hard to fund and easy to delay.

Small, regular debt reduction usually works better.

Mistake 5: Fixing Low-Impact Debt First

Do not clean the tidy corner while the payment system is on fire.

Prioritise by business impact and risk.

Mistake 6: Blaming the Team

Blame does not fix systems.

Most technical debt comes from pressure, trade-offs, unclear ownership or past constraints.

Focus on better decisions now.

Mistake 7: Ignoring Supplier Debt

If a supplier created or owns the system, you still need visibility.

You cannot outsource responsibility for business risk.

Technical Debt Checklist

Use this checklist in your next software review.

• Do we know where our main technical debt sits?
• Can we explain the business impact in plain English?
• Do we have a technical debt register?
• Are debt items prioritised by risk and value?
• Is technical debt visible on the roadmap?
• Do we allocate regular capacity to reduce debt?
• Do we have automated tests for critical workflows?
• Is documentation good enough for onboarding and support?
• Are key dependencies current and supported?
• Do we have single-person knowledge risks?
• Are suppliers clear about known debt?
• Are security risks included?
• Do project estimates account for debt?
• Are we preventing new debt through better delivery habits?
• Do leaders review technical debt regularly?

If you answer “no” to most of these, do not panic.

Start with visibility.

You cannot fix what you cannot see.

Frequently Asked Questions

What is technical debt?

Technical debt is the future cost created when software or technology decisions are made quickly or poorly and become harder to maintain later. It often shows up as slower delivery, more bugs, higher maintenance cost and greater risk.

Is technical debt always bad?

No. Some technical debt is a reasonable trade-off, especially when testing an idea or meeting an urgent business need. It becomes a problem when it is hidden, unmanaged or allowed to grow without a plan.

How do you reduce technical debt?

Reduce technical debt by identifying it, explaining the business impact, prioritising it, adding it to the roadmap and fixing it in small regular batches. Better testing, documentation, code review and supplier governance also help prevent new debt.

How do you prioritise technical debt?

Prioritise technical debt by looking at business impact, risk, frequency, future roadmap impact, dependencies and fix effort. Debt that affects customers, revenue, security or delivery speed should usually be addressed first.

What is the difference between technical debt and a bug?

A bug is something that does not work as expected. Technical debt is a weakness in the system, code, process or architecture that makes future work harder or riskier. A bug may be a symptom of technical debt.

Final Thought

Technical debt is not a sign that your business has failed. It is a normal part of building and growing technology, especially when speed matters. The important thing is to make it visible, manage it deliberately and keep linking it back to business value. When you treat technical debt as a leadership issue, not just a developer problem, it becomes much easier to keep technical debt under control.