Implementing Scrum · Case Studies · Podcast Episode3 min read

SLAY The Technical Debt Monster: The 3-Step Script To Get Leaders To Say 'YES' To Cleanup

Technical debt isn't a developer chore, it's product risk. Three counter-intuitive shifts in perspective to get leaders to prioritize the invisible work.

Introduction: The Invisible Anchor Dragging Your Team Down

Does your development team (officially “Developers” in Scrum) feel like they’re in a state of constant firefighting? Running just to stay in place, unable to deliver new value without breaking something else?

This is a classic symptom of accumulated technical debt — an invisible sludge building up in your product’s engine, grinding everything to a halt. When it gets bad enough, forecasting becomes impossible, and the value curve you’re working so hard to raise just flattens out, no matter how hard the team works.

The core dilemma: while the development team feels this pain acutely, stakeholders often see the necessary cleanup work as mere “developer chores.” They prioritize the “shiny objects” (new, visible features) over fixing a leaky foundation they can’t see. Three counter-intuitive shifts in perspective that can help:

Takeaway 1: It’s Not A Chore, It’s A Risk

Stop calling it “Technical Debt.” Start calling it “Product Risk.”

The fundamental mistake is treating technical debt as a problem that belongs solely to the developers — an internal, technical issue to be handled behind the scenes. In reality, it’s a collection of ticking time bombs inside your product. Reframing the conversation moves the topic from “housekeeping” to “risk management,” aligning the work with business priorities and elevating its importance in the eyes of decision-makers.

It’s not just about clean code — it’s about the health and viability of the product. At its core, it’s organizational risk, product risk, something that can genuinely threaten the whole business if it gets bad enough.

Takeaway 2: If It’s Not In The Backlog, It Doesn’t Exist

The most important place for debt is in plain sight.

Technical debt thrives in the absence of a core Scrum pillar: Transparency. When the fragility of the product is invisible to key decision-makers, they’re forced to make choices based on incomplete information. The Scrum Guide is clear:

“Low transparency leads to decisions that decrease value and increase risk.”

To combat this, all work related to technical debt — bug fixes, platform upgrades, architectural improvements — must be made into visible Product Backlog Items. The Product Backlog is the single, authoritative source for all work the team undertakes. If it isn’t there, it doesn’t exist. All work means all work — if it takes team capacity, it belongs in the backlog. Period.

Takeaway 3: Translate Technical Jargon Into Business Impact

Frame the work around the cost of inaction.

Simply making technical debt visible in the backlog isn’t enough — to be prioritized, it must be described in a language the Product Owner and other stakeholders understand: the language of business consequences. Two practical reframes:

This translation is precisely what arms the Product Owner for conversations with stakeholders — ammunition to justify prioritization against the constant pressure for new features. Always tie it back to a measurable business outcome. That’s how you justify the investment. That’s the language of value.

Conclusion: From Firefighting To Strategic Investment

By changing how you talk about technical debt, you can transform it from an ignored “developer chore” into a strategic business conversation. The key is to reframe it as risk, make it fully transparent in the backlog, and translate the technical details into the language of business value. This isn’t about winning an argument — it’s about creating shared understanding and protecting the future of your product.

What Next?

What is one small change you can make tomorrow to shift this conversation and slay your technical debt monster? Let me know via LinkedIn.

Need some real-world assistance? Contact me today.


Full disclosure: this article was created using NotebookLM, an AI tool by Google, based on my own curated sources about Implementing Scrum in the real world. Content has been carefully reviewed for accuracy. Opinions and insights shared are my own.

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Written by Michael Vizdos

35+ years working with teams around the world on Implementing Scrum. Found this useful? Feel free to share it with your team, or send feedback — I read all of it.