Answer.

Background:

Initially, IT teams did not always pay attention to technical debt, focusing on releasing a minimally viable solution. However, as the load and number of changes in systems grew, the need arose for formalizing and accounting for technical debt to ensure sustainable development.

Problem:

Technical debt hinders the timely development of new features. Unidentified or unmanaged debt leads to increased support costs, the emergence of "patchy" solutions, and complication of architecture. Important: how can a systems analyst account for and document existing debt while analyzing new requirements?

Solution:

A systems analyst must:

• Identify potential technical debts when analyzing existing processes, documenting constraints and flaws
• Include tasks for eliminating/simplifying/refactoring debt in the backlog
• Find a balance between creating new functionality and addressing technical issues while maintaining dialogue with architects and the development team

Key features:

• Early identification and documentation of technical constraints
• Inclusion of debt elimination tasks in the overall product development plan
• Retrospective analysis of each change and its impact on system architecture

Tricky questions.

Should all technical debt be corrected immediately upon identification?

Not necessarily. It is important to assess priorities based on business impact and technical risks. Sometimes, addressing debt is postponed to a more appropriate stage.

Can a systems analyst make decisions about technical debt independently without interacting with the development team?

No, the analyst documents the debt but decisions about how and when to address it are made jointly with the architect and the team.

Is it advisable to "hide" part of the technical debt in documentation to expedite approval of new changes?

No, there should be a complete and up-to-date registry of debts and constraints — this protects the product and the team from surprises in the future.

Common mistakes and anti-patterns

• Ignoring or downplaying the scale of technical debt
• Formalizing debt only in verbal form
• Lack of prioritization of debts based on business risks

Real-life example

Negative case: The analyst ignored outdated system modules and implemented a new feature on top of old code. Later, further development was needed, which became problematic due to excessive technical debt. Pros:

• Quick launch of new functionality Cons:
• Increased time and costs for product improvement, complicating testing

Positive case: The analyst prepared a technical description of "bottlenecks," agreed on a refactoring plan, and only after minimizing debt implemented a new module. Pros:

• Consistent product development
• Reduction in the number of defects Cons:
• Slower release schedule