Evaluate five distinct tech debt avoidance strategies for a hypothetical SaaS startup developing a complex, feature-rich application.  For each strategy, consider the following factors: </p>
<p>1. **Proactive Measures:** Describe the specific proactive measures implemented to prevent tech debt accumulation (e.g., code reviews, automated testing, design sprints).<br />
2. **Reactive Measures:** Outline the procedures for addressing unavoidable tech debt (e.g., refactoring sprints, dedicated tech debt reduction time).<br />
3. **Cost-Benefit Analysis:** Quantify the short-term and long-term costs (time, resources, potential revenue loss) associated with each strategy.<br />
4. **Risk Mitigation:** Assess the potential risks (e.g., project delays, feature compromises) associated with each strategy.<br />
5. **Scalability:** Evaluate the scalability of each strategy as the startup grows and the application becomes more complex. </p>
<p>The five strategies to compare are:</p>
<p>* **Strategy A:**  Prioritizing modular design and microservices architecture from the outset.<br />
* **Strategy B:** Implementing a rigorous code review process and automated testing framework.<br />
* **Strategy C:** Allocating a fixed percentage of development time (e.g., 10%) to address existing tech debt.<br />
* **Strategy D:** Employing a technical debt tracking system to monitor and prioritize issues.<br />
* **Strategy E:**  Outsourcing certain aspects of development to specialized teams with strong expertise in preventing tech debt.</p>
<p>The output should be a comparative table summarizing the key findings for each strategy across all five evaluation factors.  Include a final section recommending the optimal strategy or a blended approach, justifying your choice based on the analysis.