Many industrial tech solutions fail because they are designed as standalone engineering fixes. True success requires embedding the technology into daily operations, like shift meetings and handovers, making it a time-saver for workers rather than an additional analytical burden to drive behavioral change.

Shift focus from the physical object to the process it enables. Whether for surgery, labs, or logistics, successful product development requires deeply understanding and improving the underlying workflow. The specific technology is secondary to a system design that correctly supports the process.

The industry's costly drug development failures are often attributed to clinical issues. However, the root cause is frequently organizational: siloed teams, misaligned incentives, and hierarchical leadership that stifle the knowledge sharing necessary for success.

Companies run numerous disconnected AI pilots in R&D, commercial, and other silos, each with its own metrics. This fragmented approach prevents enterprise-wide impact and disconnects AI investment from C-suite goals like share price or revenue growth. The core problem is strategic, not technical.

A COVID-19 trial struggled for patients because its sign-up form had 400 questions; the only person who could edit the PHP file was a grad student. This illustrates how tiny, absurd operational inefficiencies, trapped in silos, can accumulate and severely hinder massive, capital-intensive research projects.

In complex systems (e.g., electromechanical devices with software), problems often arise not within a single discipline but in the interactions between them. Engineers must adopt a systems-level view to anticipate and address these "undefined requirements" where different components intersect.

The best products are built when engineering, product, and design have overlapping responsibilities. This intentional blurring of roles and 'stepping on each other's toes in a good way' fosters holistic product thinking and avoids the fragmented execution common in siloed organizations.

To ensure a smooth transition from development to production, an operations or manufacturing SME must be part of the design process from the start. Otherwise, products are developed without manufacturability in mind, leading to expensive, reactive fixes and subjective quality control during scale-up.

In environments with highly interconnected and fragile systems, simple prioritization frameworks like RICE are inadequate. A feature's priority must be assessed by its ripple effect across the entire value chain, where a seemingly minor internal fix can be the highest leverage point for the end user.