Using RACI to Speed Up Your Company's Decision-Making
Most leaders still believe they face a brutal trade-off: move fast and accept sloppy decisions or move slowly to get them "right." The emerging evidence says that's a false choice. When you redesign how decisions get made, you can dramatically increase decision velocity and improve decision quality at the same time.
The Speed-Quality Myth
In many organizations, "thorough" has become a synonym for "slow." Leaders schedule more meetings, broaden the distribution list, add extra steps to the deck review—and assume that all this friction must be improving the decision. In reality, it often degrades quality. The team loses the thread of the problem, stakeholders drift in and out, and the group optimizes for consensus rather than clarity of logic and accountability.
Research with senior teams shows that faster decision makers are more likely—not less—to rate their decisions as high quality and value-creating. In other words, high-performing organizations don't "trade" speed for rigor; they build decision systems that deliver both. They move quickly because roles are clear, the information is good enough, and it's obvious who has the A (for Approver).
What Research Actually Shows
A large McKinsey study of executives found that organizations in the top tier on decision speed were also more likely to be in the top tier on decision quality and business performance. Instead of a neat inverse relationship between speed and quality, they found a positive one: the same management practices that strip away delay also strip away confusion and rework.
Academic work on strategic decisions reinforces this pattern. A 2020 study in European Management Review examined how fast top teams made strategic decisions and how those decisions performed. In dynamic, opportunity-rich environments, faster teams produced higher-quality decisions, because they were acting on fresher information and learning in real time. The trade-off only appeared when teams tried to move fast without matching the process to the complexity and stakes of the decision.
Even at the level of individual decision makers, experiments on time pressure show that people can maintain quality when tasks are simple and decision processes are well structured, but quality drops if complexity is high and the process is chaotic. Work on "optimal timing" reaches a similar conclusion: after a certain point, more deliberation adds little incremental insight but imposes large opportunity costs.
Conditions for Fast and High-Quality Decisions
If the trade-off is a myth, why do so many organizations experience it as real? Because the conditions for fast, high-quality decisions are often missing. Here are two that matter most in cross-functional environments.
1. Clear Decision Rights and Classification
High-growth organizations are full of horizontal work: projects that cut across functions, geographies, and P&Ls. Without clear decision rights, this horizontal work becomes a swamp of meetings and status updates. RACI 2.0 thinking—explicitly defining who is Responsible, Approver, Consulted, and Informed—lays the groundwork for both speed and quality. When everyone knows who owns the decision, who must be consulted, and who will be informed after the fact, the team can move quickly without triggering political blowback.
Research echoes this. McKinsey's work on decision effectiveness distinguishes big-bet, cross-cutting, and delegated decisions and shows that top performers make that segmentation explicit. They push routine, reversible decisions down and out to the edges, cutting cycle time and freeing senior leaders to focus on a small number of consequential choices that merit deeper analysis. Strategic management studies also find that when senior teams are clear about which decisions demand extensive analysis (and which do not), speed improves without any drop in quality.
2. A Culture of Bounded Risk and Test-and-Learn
The second condition is cultural: a bias for action within clear guardrails. During the pandemic, many organizations were forced to make rapid calls about operations, technology, and customer experience. Those that did this well gave leaders explicit permission to act quickly within a set of constraints, treated small missteps as data, and used short learning loops to refine their decisions.
McKinsey's analysis of these organizations shows that they improved both speed and quality by shifting from "prove it first" to "test and learn." Instead of waiting for perfect information, teams launched pilots, monitored leading indicators, and adjusted fast—essentially trading one big, slow, high-risk decision for a series of fast, low-risk ones. The academic literature on optimal timing supports this approach: when decisions are reversible and feedback is available, earlier action plus iteration tends to beat prolonged analysis.
At the same time, these organizations were careful to slow down selectively. They invested more time and cross-functional debate in big, irreversible bets, often using structured processes to ensure that alternatives, risks, and assumptions were explicitly surfaced. By matching the speed and depth of the process to the nature of the decision, they preserved quality where it mattered most and gained speed everywhere else.
The lesson for leaders is clear: if your experience is that speed and quality move in opposite directions, the problem isn't that you're moving too fast—it's that your decision architecture and culture weren't built for velocity.
Redesign those, and you can have both.
