📌 Tech Debt Manager Summary
A Tech Debt Manager is a person, tool, or process dedicated to identifying, tracking, and reducing technical debt in software projects. Technical debt refers to shortcuts or temporary solutions in code that make future changes harder or slower. Managing tech debt helps teams maintain software quality and allows for smoother updates and improvements over time.
🙋🏻♂️ Explain Tech Debt Manager Simply
Imagine you are building a treehouse and you use a few wobbly planks because you are in a rush. A Tech Debt Manager is like someone who keeps a list of those wobbly planks and reminds you to fix them before the treehouse gets bigger or more complicated. By keeping track of these small problems, you make sure the treehouse stays safe and easy to improve.
📅 How Can it be used?
A Tech Debt Manager can help a project team track and prioritise fixes for quick coding shortcuts that may cause issues later.
🗺️ Real World Examples
A software company uses a Tech Debt Manager tool to log all instances where developers have used temporary solutions in their code. The team reviews this log during sprint planning and allocates time to resolve the most critical issues, preventing bigger problems as the product grows.
An agile team appoints a dedicated Tech Debt Manager who collaborates with developers to document known code shortcuts and technical compromises, then schedules regular sessions to address these before major product releases.
✅ FAQ
What does a Tech Debt Manager actually do?
A Tech Debt Manager helps keep software projects healthy by finding and keeping track of messy shortcuts in the code that could cause trouble later. By spotting these issues early and making plans to fix them, teams can avoid bigger problems down the line and keep their software running smoothly.
Why should we care about technical debt in our projects?
Ignoring technical debt is a bit like ignoring small cracks in a wall. Over time, those cracks can grow and make repairs much harder and more expensive. By managing technical debt, teams can make sure updates and new features are easier to add, saving time and effort in the long run.
Can using a Tech Debt Manager really make a difference for a team?
Yes, having someone or something dedicated to managing technical debt means that small problems are less likely to become big headaches. Teams often find it easier to keep their code clean, release updates faster, and spend less time sorting out old mistakes.
📚 Categories
🔗 External Reference Links
👏 Was This Helpful?
If this page helped you, please consider giving us a linkback or share on social media!
📎https://www.efficiencyai.co.uk/knowledge_card/tech-debt-manager
Ready to Transform, and Optimise?
At EfficiencyAI, we don’t just understand technology — we understand how it impacts real business operations. Our consultants have delivered global transformation programmes, run strategic workshops, and helped organisations improve processes, automate workflows, and drive measurable results.
Whether you're exploring AI, automation, or data strategy, we bring the experience to guide you from challenge to solution.
Let’s talk about what’s next for your organisation.
💡Other Useful Knowledge Cards
Mailchimp
Mailchimp is an online platform that helps people create, send, and manage email campaigns. It provides tools for designing emails, organising contact lists, and tracking how recipients interact with messages. Businesses and individuals use Mailchimp to stay in touch with their audience, promote products, or share updates in a professional way.
Consent-Driven Output Filters
Consent-driven output filters are systems or mechanisms that check whether a user has given permission before showing or sharing certain information or content. They act as a safeguard, ensuring that sensitive or personal data is only revealed when the user has agreed to it. This approach helps protect privacy and respects user choices about what information is shared and when.
Feature Selection Strategy
Feature selection strategy is the process of choosing which variables or inputs to use in a machine learning model. The goal is to keep only the most important features that help the model make accurate predictions. This helps reduce noise, improve performance, and make the model easier to understand.
BGP Hijacking Mitigation
BGP hijacking mitigation refers to the set of methods and practices used to prevent or reduce the risk of unauthorised redirection of internet traffic through the Border Gateway Protocol (BGP). BGP hijacking can allow attackers to reroute, intercept, or block data by falsely announcing ownership of IP address ranges. Mitigation techniques include route filtering, route validation, and using security frameworks like Resource Public Key Infrastructure (RPKI) to verify the legitimacy of routing announcements.
Data Quality Roles
Data quality roles refer to the specific responsibilities and job functions focused on ensuring that data within an organisation is accurate, complete, consistent, and reliable. These roles are often part of data management teams and can include data stewards, data quality analysts, data owners, and data custodians. Each role has its own set of tasks, such as monitoring data accuracy, setting data quality standards, and resolving data issues, all aimed at making sure data is trustworthy and useful for business decisions.