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How To Test With An Holistic Approach  Lisa Crispin thumbnail

How To Test With An Holistic Approach Lisa Crispin

Published 29 Apr 2026

Duration: 00:54:21

Focuses on holistic testing as a shared team responsibility across the SDLC, stressing collaboration, adaptability, user-centricity, balanced use of automation and human judgment, quality engineering, iterative practices, and systemic learning for long-term success.

Episode Description

With 40 years in tech, Lisa Crispin is an independent consultant, author, and international speaker. She is the co-founder of the Agile Testing Fellow...

Overview

The podcast discusses strategies for effective software testing, emphasizing a holistic approach that integrates testing across all stages of development. It highlights the importance of team collaboration, where developers, testers, and stakeholders collectively address technical and non-technical aspects like user experience and documentation. Key principles include continuous testing throughout development, fostering inclusivity by involving all team members in quality assurance, and adapting Agile practices to fit project dynamics. The discussion critiques superficial Agile adoption, such as rigid processes or ritualistic stand-ups, and instead advocates for a focus on sustainable value delivery and trust-based collaboration.

The role of testers is evolving from traditional roles to that of quality engineers or consultants, emphasizing coaching, shared understanding, and risk management. The conversation underscores the need for cross-disciplinary knowledge, balancing specialized expertise with generalized awareness of tools and concepts to improve communication. Challenges like over-reliance on automation or AI are addressed, with a call for maintaining human judgment in testing to avoid devaluing critical roles. The podcast also stresses the importance of psychological safety, iterative testing, and user-centric practices to ensure alignment with customer needs and long-term quality.

Future trends include the necessity of adaptability, continuous learning, and leveraging AI to enhance efficiency while preserving the irreplaceable value of human-led exploratory testing. The discussion emphasizes early risk assessment, iterative improvements, and fostering trust within teamsdrawn from personal anecdotes like working with donkeysto achieve sustainable outcomes. Addressing systemic issues like burnout and workload management is also highlighted, alongside the importance of community-driven learning and collaboration to advance quality practices.

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