Lec 49: Cause-Effect Analysis

Lec 49: Cause-Effect Analysis

🎙 Prof. Sharmistha Banerjee 👥 228K 📅 September 2, 2026 ⏱ 25 min 👁 2 📄 tutorial 🧭 2026-09-02
Available in: English (current) Français

Keywords

root causesymptom5 Whysfishbone diagramA/B testing

Summary

This lecture from the NPTEL course ‘User Research Methods’ introduces cause-effect analysis as a critical step in user research. The instructor distinguishes between surface symptoms and underlying root causes, emphasizing that fixing symptoms leads to ineffective ‘band-aid’ solutions. Two primary methods are presented: the 5 Whys technique for deep, linear probing, and the fishbone (Ishikawa) diagram for broad, categorical exploration. The 5 Whys is demonstrated through a case study of users abandoning a password reset flow, revealing a trust deficit rather than a visibility issue. The fishbone diagram is illustrated with a case of high checkout abandonment, categorizing causes into people, process, technology, environment, and business factors. The lecture stresses the importance of validating root causes with evidence and confirming fixes through measurable methods like A/B testing. A practical example of solving elevator wait times by installing mirrors illustrates the value of addressing root causes. The session concludes with key takeaways: symptoms are visible complaints, root causes lie beneath, and addressing them leads to more durable design solutions.

168 words

Critical Evaluation

Value of the Information & Strength of the Argument

The lecture provides substantial value by clearly articulating the difference between treating symptoms and addressing root causes, a fundamental principle in user-centered design. The argumentation is solid, built on logical reasoning and reinforced with concrete case studies. The password reset example effectively demonstrates how a surface-level fix (making the link more visible) would fail if the underlying issue is user distrust. The elevator mirror anecdote further illustrates the power of root cause analysis in a relatable scenario. The methods are presented with practical steps, and the importance of validation through A/B testing is emphasized, grounding the approach in empirical evidence.

Scientific Rigor, Source Quality, Title Accuracy

The lecture is scientifically rigorous, drawing on established methodologies (5 Whys, Ishikawa diagram) that are widely recognized in quality management and UX research. The instructor, a professor at IIT Guwahati, provides a structured and clear presentation. The title ‘Cause-Effect Analysis’ accurately reflects the content. The description includes links to the course and playlist, but no specific external references are cited within the lecture itself. The content aligns with standard practices in the field, and the emphasis on evidence-based validation enhances its credibility.

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Title / Content Match

The title accurately reflects the content, which focuses on cause-effect analysis methods in user research.

Quality & Reliability

8/10

The lecture is part of a formal academic course (NPTEL) delivered by a professor at IIT Guwahati. It presents established methods (5 Whys, Ishikawa diagram) with clear examples and references to validation via A/B testing. The content is structured, pedagogically sound, and aligns with standard UX research practices.

Key Moments

Cited Sources

Concurring Sources

Contribution & Novelties

The lecture provides a clear, structured introduction to root cause analysis methods specifically applied to user research. It effectively bridges theory and practice with detailed case studies. The emphasis on validating root causes with evidence and measuring the impact of fixes (e.g., A/B testing) is a valuable addition to typical UX tutorials.

Pour aller plus loin :

  • Five Whys — Foundational technique for root cause analysis.
  • Ishikawa diagram — Visual tool for categorizing potential causes.
  • A/B testing — Method for comparing design variations to validate fixes.

86 words

Radar Profile

The radar profile shows high scores across all dimensions, indicating a well-rounded, informative, and reliable lecture. The balance between quantitative information and technical depth suggests it is suitable for both beginners and practitioners seeking a refresher.

Reliability 8/10