Rapid Software Testing (RST) emphasizes human-driven, exploratory testing as a flexible framework prioritizing critical thinking, contextual judgment, and early detection of flaws in complex systems. It challenges rigid methodologies, over-automation, and universal testing practices, advocating for nuanced risk assessment, ethical reporting, and the integration of domain knowledge over scripted processes.

How To Test This?

interview episodes where Mamadou N’diaye talks with with software testing experts

• https://podcasters.spotify.com/pod/show/spidey1944
• https://www.youtube.com/@HowToTestThis
• https://www.linkedin.com/in/mamadou-ndiaye-consultant/

Episode Details

• Show Notes: https://podcasters.spotify.com/pod/show/spidey1944/episodes/How-to-Test-with-Rapid-Software-Testing-RST---Michael-Bolton-e3jd21e
• Published: 2026-05-15T00:57:41Z
• Duration: 00:54:31
• Author: Mamadou N’diaye

Overview

The podcast delves into the philosophy and practice of software testing, emphasizing its role as a human-driven process rooted in exploration, experimentation, and critical thinking. It highlights Michael Bartons career and contributions to Rapid Software Testing (RST), a context-driven approach that prioritizes efficiency, shallow testing (to identify surface-level issues quickly), and the integration of human judgment over rigid methodologies. RST challenges misconceptions that testing is about proving a product works, instead focusing on identifying critical flaws early by leveraging experience, domain knowledge, and an investigative mindset. The discussion underscores the importance of testers as skilled investigators rather than passive executors of tasks, advocating for a balance between speed and depth in testing, especially in complex or AI-driven systems where automated checks alone cannot capture nuanced risks or user needs.

Key themes include the necessity of deep testing for hidden, subtle bugs in complex systems, the erosion of reflective testing due to industry pressures for speed, and the risks of over-reliance on automation or certifications that prioritize process over practical skills. The conversation critiques the mischaracterization of testing as a universal “best practice” and stresses the value of human-centric approaches that acknowledge fallibility and prioritize communication, ethical issue reporting, and contextual understanding. It also addresses the limitations of traditional metrics and KPIs, advocating instead for metrics that reflect meaningful risk assessment. Ultimately, the dialogue promotes RST as a flexible framework that empowers testers to adapt their methods, prioritize critical issues, and engage with users and developers to uncover problems that scripted or automated approaches might miss.

What If

• What if you replaced scripted test cases with a two-hour exploratory testing session each week?

  • Move: Dedicate focused time to unstructured testing, simulating user scenarios and probing edge cases without predefined scripts.
  • Why now: The text highlights that informal, experience-driven testing (like that of tech support teams) can uncover critical issues faster than rigid frameworks. As a solo operator, this reduces reliance on automation and leverages your domain knowledge.
  • Expected upside: Faster identification of critical bugs, reduced test maintenance overhead, and improved alignment with real user behavior.

• What if you created a risk-based testing checklist prioritizing high-impact areas over full coverage?

  • Move: Use RST principles to identify 3-5 critical risks (e.g., user data handling, payment processing) and design targeted tests for them.
  • Why now: The text stresses that testings mission is to find critical problems early, not exhaustive coverage. This approach avoids burnout from overtesting while aligning with business priorities.
  • Expected upside: Higher-value test results, more informed stakeholder decisions, and fewer wasted resources on low-risk areas.

• What if you replaced 20% of your automation scripts with a deep-dive analysis of user workflows?

  • Move: Allocate time to map out 1-2 key user journeys, test them manually with a focus on usability, and document insights for developers.
  • Why now: The text critiques GUI automation for oversimplifying testing and emphasizes the need for human judgment in interpreting outcomes. This shift prioritizes user-centric understanding over automation volume.
  • Expected upside: Deeper insight into user pain points, fewer superficial bugs, and stronger stakeholder trust in your testing rigor.

Takeaway

• Prioritize Human-Driven Testing Over Automation: Implement Rapid Software Testing (RST) principles by focusing on context-driven, exploratory testing instead of rigid automation. Use tools like Playwright or Selenium only to augment your investigative work, not replace it, and dedicate time to understanding product risks through hands-on experimentation.

• Leverage Domain Knowledge to Identify Critical Issues: Before writing test cases, immerse yourself in the products purpose, user workflows, and potential pain points. Use this understanding to design targeted tests that uncover high-impact defects, rather than chasing exhaustive coverage of low-risk areas.

• Engage with Users and Stakeholders for Contextual Insights: Conduct interviews, observe user interactions, or analyze feedback to build a deeper understanding of user needs. Use this data to shape your testing priorities, ensuring you address risks that align with real-world usage scenarios rather than theoretical edge cases.

• Adopt a Tool-Agnostic Approach to Testing: Select tools based on how well they address specific testing goals (e.g., data analysis, API validation) rather than industry trends. Avoid becoming reliant on GUI automation; instead, explore alternatives like data pipelines or behavioral testing that align with your products unique requirements.

• Separate Testing from Product Release Decisions: Document risks and issues clearly in test reports, but do not sign off on product releases. Hand over decision-making to managers, ensuring they understand the technical, social, and business risks involved. Communicate findings with clarity and minimal formality to drive actionable outcomes.