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Before adopting a new framework like OVIS or RACI, analyze it as a political tool. Map it against your current org chart to see who gains and who loses power. These frameworks often serve to concentrate authority rather than genuinely streamline decision-making.

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Companies mistakenly bundle management with authority, forcing top performers onto a management track to gain influence. Separate them. Define management's role as coordination and context-sharing, allowing senior individual contributors to drive decisions without managing people.

Use a simple chart mapping project types (e.g., blog posts, ad campaigns) to required approval levels (e.g., individual, team, VP). This lightweight RACI framework clarifies decision-making authority, empowering team members to act autonomously on low-risk items without getting stuck in approval loops.

The primary barrier to AI adoption in large companies is not technological but organizational. Success depends on understanding the 'real' org chart—the informal network of influencers who control data and approve projects, which often differs from the official hierarchy.

Removing middle management doesn't speed up decisions; it slows them down. Senior leaders become overwhelmed with the volume of tactical requests they previously delegated, causing 'decision latency' across the entire organization as they become a bottleneck.

The "bottom-up" management approach is not a true alternative to "top-down" leadership because it maintains a hierarchical worldview. It forces individuals to see colleagues as either above or below them, reinforcing the very pyramid structure it purports to escape.

Many leaders fight bureaucracy like an external threat. The real cause is the organization's design: too many layers, functional silos, and distant decision-making. To fix bureaucracy, you must fundamentally change the organizational structure, not just treat symptoms.

While frameworks like RICE appear scientific, their inputs are highly subjective. Their primary value isn't for making decisions, but for providing a seemingly objective, data-driven justification to decline stakeholder or management feature requests that don't align with the current strategy.

The change management industry defaults to selling scalable, technical solutions like models and frameworks because they are easily productized. The messier, more effective work of teaching conversational skills is harder to package. Leaders should be wary of partners who deliver a plan but build no lasting capability.

Companies like Amazon and Meta that cut middle management are not necessarily wrong to flatten their organization, but they err by doing so without first redesigning the underlying system. The true mistake is removing the people responsible for coordination and decision-making without fixing the processes they managed, leading to chaos.

Enforce a strict separation between who provides input and who makes the decision. Input should be broad (customers, data, stakeholders), but the decision must be singular and accountable. When the input group is also the decision group, you get a committee that optimizes for safety, not outcomes.

New Management Frameworks Often Rebrand Existing Authority, Not Improve Process | RiffOn