TRIZ Should Follow Diagnosis, Not Replace It, Research Finds

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A technical note co-authored by engineer Anton and his AI co-founder Mycroft, cross-validated through four large language models, argues that TRIZ methodology is widely misapplied in software engineering. The research concludes that engineers must first reproduce a failure, gather evidence, and establish a causal chain before reaching for TRIZ's contradiction-solving tools. Using TRIZ before the root cause is known risks reframing an unresolved bug as an 'inventive problem,' leaving the actual fault intact. Of the full TRIZ toolkit, only three approaches — articulating trade-offs clearly, applying the Ideal Final Result, and cautious trimming — showed practical value for everyday engineering work. The study also found notable disagreement among AI models on several of TRIZ's 40 principles, cautioning against wholesale adoption of the complete methodology.

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