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Managing Technical Debt Plays Benefits Against Risks

Charles Caldwell
Logi Analytics

Everyone laments technical debt like it were a high-interest credit card. But just like how your CFO uses debt as capital for the business, the intelligent Product Manager knows that technical debt can help finance your path to market if you know how to manage it well.

Product managers who choose when and where it's acceptable to take on technical debt to overcome limited budget, constrained resources or critical deadlines, and budget their resources to resolve that debt at reasonable points in the future, avoid those nightmare scenarios. They recognize that taking on some debt can deliver real benefits so long as it's managed.

Finding the sweet spot between avoiding all technical debt and leveraging the right amount to get to market on a timeline that matters is a key skill for successful product teams.

Don't Build Too Little … or Too Much

Speed to market is a constant driver for product teams, with a high focus on feature delivery that can lead to an anemic architectural ramp. This is the source of technical debt that most teams are used to seeing. All the velocity is on features, and architecture "just happens" (or doesn't). Features are delivered that are not fully fleshed out, and the foundation they are built on won't support the actual feature requirements. While this is fine for an initial feature release to get feedback, repeated iterations result in a brittle product.

While a lot of technical debt comes from investing too little in supporting architecture, we see too many teams swing the other way and build far too much "infrastructure" upfront. Trying to anticipate everything a feature will ever need to do and build out the most beautifully architected backend for high-scale perfection before a single feature ships.

If the team is building too much enabling architecture at the onset, it's setting itself up for technical debt resulting from a change in requirements. Failing to get features out the door, the team doesn't get feedback until a lot of code is built. If you've got it wrong, you end up with a ton of technical debt in the form of an architecture that will never result in value to the customer.

There are, of course, feature sets that require a large amount of enabling technology. Features that have significant, complex components across multiple application tiers often resist iterative, MVP-style implementation. There are times when the MVP requires a lot of backend capability just to get the most basic version of the feature out the door. These are great cases for a buy/partner/open-source approach. Yes, you may accept some technical debt in the form of integration or "someone else's code," but if there is any risk around feature requirements, technical debt will pay dividends in the short term as you validate the feature. Place finite resources, including talent, toward solutions that could be resolved more efficiently by third-party options instead is another way technical debt mounts.

In the simplest term, reasonable technical debt is a trade-off. It's the result of identifying what's acceptable now that's worth addressing later. That's wholly manageable. What's unforeseen or overlooked that demands attention later is technical debt that every product manager wants to avoid.

To solve this and other varieties of technical debt, choose off-the-shelf options, either at the project's beginning or when they're needed. As noted above, embedded analytics allows managers to place solutions right into the development pipeline and move on. Time and talent spent focusing on other areas of the project offset the costs of buying a solution.

Debt Equilibrium

Technical debt is acceptable and even desired in some instances. When creating a genuinely trendsetting product, getting it to market as soon as feasible is the best way to obtain crucial user feedback. Addressing every possible way the new product will be used may be impossible to predict. So, creating an operational framework with simple, adaptable features that can be reliably built out into a compelling business solution for the client is a terrific way to identify and accept technical debt and leverage it for a project's benefit.

Identify technical debt and prepare for it to eliminate unpleasant surprises. Avoid it where possible and accept it where the benefits outweigh its drawbacks.

Manage and pay down debt by planning for it, choosing where and when it serves project purposes. This will ensure team momentum, the efficient delivery of products with state-of-the-art functionality, and expand the number of viable solutions to consider for addressing technical debt on projects in the future.

Charles Caldwell is VP of Product Management at Logi Analytics

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Managing Technical Debt Plays Benefits Against Risks

Charles Caldwell
Logi Analytics

Everyone laments technical debt like it were a high-interest credit card. But just like how your CFO uses debt as capital for the business, the intelligent Product Manager knows that technical debt can help finance your path to market if you know how to manage it well.

Product managers who choose when and where it's acceptable to take on technical debt to overcome limited budget, constrained resources or critical deadlines, and budget their resources to resolve that debt at reasonable points in the future, avoid those nightmare scenarios. They recognize that taking on some debt can deliver real benefits so long as it's managed.

Finding the sweet spot between avoiding all technical debt and leveraging the right amount to get to market on a timeline that matters is a key skill for successful product teams.

Don't Build Too Little … or Too Much

Speed to market is a constant driver for product teams, with a high focus on feature delivery that can lead to an anemic architectural ramp. This is the source of technical debt that most teams are used to seeing. All the velocity is on features, and architecture "just happens" (or doesn't). Features are delivered that are not fully fleshed out, and the foundation they are built on won't support the actual feature requirements. While this is fine for an initial feature release to get feedback, repeated iterations result in a brittle product.

While a lot of technical debt comes from investing too little in supporting architecture, we see too many teams swing the other way and build far too much "infrastructure" upfront. Trying to anticipate everything a feature will ever need to do and build out the most beautifully architected backend for high-scale perfection before a single feature ships.

If the team is building too much enabling architecture at the onset, it's setting itself up for technical debt resulting from a change in requirements. Failing to get features out the door, the team doesn't get feedback until a lot of code is built. If you've got it wrong, you end up with a ton of technical debt in the form of an architecture that will never result in value to the customer.

There are, of course, feature sets that require a large amount of enabling technology. Features that have significant, complex components across multiple application tiers often resist iterative, MVP-style implementation. There are times when the MVP requires a lot of backend capability just to get the most basic version of the feature out the door. These are great cases for a buy/partner/open-source approach. Yes, you may accept some technical debt in the form of integration or "someone else's code," but if there is any risk around feature requirements, technical debt will pay dividends in the short term as you validate the feature. Place finite resources, including talent, toward solutions that could be resolved more efficiently by third-party options instead is another way technical debt mounts.

In the simplest term, reasonable technical debt is a trade-off. It's the result of identifying what's acceptable now that's worth addressing later. That's wholly manageable. What's unforeseen or overlooked that demands attention later is technical debt that every product manager wants to avoid.

To solve this and other varieties of technical debt, choose off-the-shelf options, either at the project's beginning or when they're needed. As noted above, embedded analytics allows managers to place solutions right into the development pipeline and move on. Time and talent spent focusing on other areas of the project offset the costs of buying a solution.

Debt Equilibrium

Technical debt is acceptable and even desired in some instances. When creating a genuinely trendsetting product, getting it to market as soon as feasible is the best way to obtain crucial user feedback. Addressing every possible way the new product will be used may be impossible to predict. So, creating an operational framework with simple, adaptable features that can be reliably built out into a compelling business solution for the client is a terrific way to identify and accept technical debt and leverage it for a project's benefit.

Identify technical debt and prepare for it to eliminate unpleasant surprises. Avoid it where possible and accept it where the benefits outweigh its drawbacks.

Manage and pay down debt by planning for it, choosing where and when it serves project purposes. This will ensure team momentum, the efficient delivery of products with state-of-the-art functionality, and expand the number of viable solutions to consider for addressing technical debt on projects in the future.

Charles Caldwell is VP of Product Management at Logi Analytics

Hot Topics

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Industry experts offer predictions on how AI will evolve and impact technology and business in 2025. Part 2 covers the challenges presented by AI, as well as solutions to those problems ...

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E-commerce is set to skyrocket with a 9% rise over the next few years ... To thrive in this competitive environment, retailers must identify digital resilience as their top priority. In a world where savvy shoppers expect 24/7 access to online deals and experiences, any unexpected downtime to digital services can lead to significant financial losses, damage to brand reputation, abandoned carts with designer shoes, and additional issues ...

Efficiency is a highly-desirable objective in business ... We're seeing this scenario play out in enterprises around the world as they continue to struggle with infrastructures and remote work models with an eye toward operational efficiencies. In contrast to that goal, a recent Broadcom survey of global IT and network professionals found widespread adoption of these strategies is making the network more complex and hampering observability, leading to uptime, performance and security issues. Let's look more closely at these challenges ...

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Gartner revealed its top strategic predictions for 2025 and beyond. Gartner's top predictions explore how generative AI (GenAI) is affecting areas where most would assume only humans can have lasting impact ...

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AWS is a cloud-based computing platform known for its reliability, scalability, and flexibility. However, as helpful as its comprehensive infrastructure is, disparate elements and numerous siloed components make it difficult for admins to visualize the cloud performance in detail. It requires meticulous monitoring techniques and deep visibility to understand cloud performance and analyze operational efficiency in detail to ensure seamless cloud operations ...

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