The Framework Graveyard: What the Consulting Industry Did to Good Research

Key Takeaways

• Maslow's hierarchy was a consulting simplification, not his original concept
• Kübler‑Ross grief stages are clinical, yet often forced onto corporate restructurings
• Lewin never used 'refreeze'; the three‑box model was assembled after his death
• MBTI has weak job performance validity, yet persists as simple personality language
• Consulting firms package nuanced research into slide‑ready frameworks, trading depth for scalability

Pulse Analysis

The consulting industry has a long‑standing habit of distilling complex academic theories into bite‑size visual tools that fit neatly on a PowerPoint slide. This process began with Charles McDermid’s 1960 pyramid, which re‑imagined Abraham Maslow’s fluid needs landscape as a rigid ladder, and has since proliferated across dozens of models—from Kübler‑Ross’s five grief stages to Lewin’s unfreeze‑change‑refreeze diagram. Each iteration strips away the original nuance, replacing it with a checklist or a three‑box graphic that can be sold, certified, and deployed at scale across multinational corporations.

While such simplifications accelerate decision‑making, they also embed a false sense of certainty into organizational change initiatives. Managers may treat a stage in the Kübler‑Ross curve as a problem to be managed rather than a signal to listen, or rely on MBTI types to assign roles despite the instrument’s limited predictive power. The result is a systematic undervaluing of frontline insights and a tendency to attribute human behavior to static categories, which can lead to misaligned strategies, employee disengagement, and costly rework when the underlying reality diverges from the model.

The broader market consequence is a feedback loop that rewards the most marketable frameworks, reinforcing the consulting industry’s productization model. Academic researchers see their work diluted, while firms that invest in deeper, evidence‑based diagnostics may struggle to compete on price and speed. To break the cycle, leaders should prioritize direct observation, data‑driven experimentation, and contextual judgment over ready‑made diagrams. By treating frameworks as optional accelerators rather than substitutes for critical thinking, organizations can preserve the richness of original research while still benefiting from the clarity that well‑crafted tools can provide.