How to Get Tech-Debt on the Roadmap

24 May 2024 (7 months ago)
How to Get Tech-Debt on the Roadmap

Prioritization of Engineering Work

  • The engineering team faces numerous potential projects and must prioritize based on their impact on the business.
  • Product managers use tools and frameworks to evaluate projects based on potential impact, return on investment (ROI), and user sentiment.
  • Prioritization should consider both the ROI and the cost of the work, viewing tech debt as part of the business context rather than a separate category.
  • Engineers play a crucial role in translating business requirements into technical solutions and understanding the impact of changes on the system.
  • A clear business case helps gain support and prioritization for engineering work, ensuring alignment with organizational goals.

Tech Debt Prioritization

  • To prioritize tech debt work, understand its business value and translate it into impact-based terms rather than technical changes.
  • Use data from SLOs, metrics, chaos experiments, incidents, and qualitative surveys to back up arguments and make a business case.
  • Consider the impact on revenue, customer experience, and operational efficiency when prioritizing tech debt work.
  • Address technical debt to ensure service scalability and reliability, prioritizing projects based on their impact on business goals and sales targets.
  • Use data and metrics to support the business case for technical debt reduction.
  • Communicate security concerns in the language of business impact using frameworks, agreements, and risk analysis to assess and prioritize security-related technical debt.
  • Frame the benefits of tech debt projects that primarily benefit engineering velocity in terms of freeing up resources for more impactful work.

Incremental Deployment and Improvements

  • Break down toil tasks into smaller, incremental improvements.
  • Start with simple solutions and gradually build upon them.
  • Use qualitative surveys with on-call engineers to gather feedback and identify common toil-related issues.
  • Analyze the data to prioritize improvements and reduce wasted engineering time.

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