What goes wrong when you ignore that distributed decision-making?

The most common reason fails: Distributing decisions without distributing information. The most common failure in distributed decision-making is giving people authority without giving them the information, context, and criteria they need to exercise it well. A product manager authorized to set prices without access to margin data, competitive intelligence, and strategic positioning guidelines will make worse decisions than the pricing committee — not because the product manager is less capable but because the information infrastructure was not distributed alongside the authority. Distribution of authority and distribution of information must move together.

The fix: Audit one week of decisions in your team or organization. For each decision, record: (1) Who made the decision? (2) Who had the most relevant information? (3) How long did the decision take from request to resolution? (4) How much of that time was active analysis versus waiting in queues? (5) Was the decision sent back for revision? If so, why? After the audit, categorize each decision into three tiers: Tier 1 — decisions that could be automated or rule-based (clear criteria, low variability, low risk). Tier 2 — decisions that could be distributed to the person with the best information (moderate complexity, bounded risk, clear parameters). Tier 3 — decisions that genuinely require centralized judgment (cross-cutting impact, strategic significance, high ambiguity). Calculate the percentage of current centralized decisions that could move to Tier 1 or Tier 2. In most organizations, this percentage is above 70%.

The underlying principle is straightforward: Moving decisions to the people closest to the information improves both speed and quality. Centralized decision-making creates a fundamental information problem: the person with the authority to decide is not the person with the best information about the situation. Every level of hierarchy that a decision must traverse adds delay (the decision waits in someone's queue), distortion (the information is simplified or filtered as it moves upward), and distance (the decision-maker lacks the contextual nuance that the person closest to the situation possesses). Distributed decision-making solves this problem by moving authority to where the information already is — but it requires infrastructure to maintain coordination.