Every leader eventually faces the same uncomfortable reality: a decision that cannot wait, paired with information that is incomplete. The data is partial, the stakes are real, and the team is watching. What separates leaders who navigate this well from those who stall is rarely intelligence or experience alone. It is a practiced capacity to move forward with clarity of process when clarity of outcome is simply not available.
Maurice Schweitzer, a Wharton professor of Operations, Information and Decisions, puts the challenge plainly: "Leaders constantly make decisions absent complete information, and often underappreciate how random and uncertain the world is." When leaders fail to account for that uncertainty appropriately, the errors that follow can be significant. Understanding where those errors come from is the first step toward making better decisions.
Before building better habits, it helps to name the patterns that most commonly derail decision-making ambiguous situations uncertainty.
Overconfidence is one of the most persistent. Leaders often underestimate the extremes of potential outcomes. The pandemic demonstrated this at scale, as supply chains, travel systems, and government responses all behaved in ways that even sophisticated forecasters failed to anticipate. When leaders operate as though their best and worst case scenarios are accurate, they are often blindsided by what falls outside that range.
Another frequent stumbling block is freezing. Freezing is equally common. 32% of business leaders say they have felt paralyzed by uncertainty when it was time to act, and 42% admit to putting off thinking about decisions because it felt uncomfortable, according to MIT Sloan Management Review research. Delays rarely have neutral consequences. When leaders hold out for certainty that is not coming, projects stall, teams disengage, and the decision eventually gets made under more pressure than it needed to be.
Risk aversion compounds the problem in organizations that reward outcomes rather than decision quality. When people are penalized for failures, they stop taking risks that could produce meaningful gains. Schweitzer describes this pattern clearly: a team presented with a potentially groundbreaking opportunity will often choose the smaller, predictable win over the larger uncertain one, even when the larger option carries better expected value. "If you want your teams to keep taking risks you have to reward the right decisions rather than merely rewarding positive outcomes."
A concrete example of what poor uncertainty management costs comes from Kodak’s response to digital photography. The company’s engineers actually invented the digital camera in 1975, but leadership repeatedly delayed committing it, waiting for clearer signals about consumer adoption while protecting its profitable film business. The decision to hold back was not made from ignorance; it was made from risk aversion and overconfidence that the film market would remain stable long enough to allow a gradual transition. By the time the picture became clear, the window had closed.
The lesson is not that Kodak lacked information. It is that leaders rewarded caution over decisive action on a reversible decision, precisely the kind of error that structured decision-making practices are designed to prevent. Acting on incomplete information with a clear process for adjustment would have served the organization far better than waiting for certainty that arrived too late.
Useful decision-making under uncertainty does not require eliminating ambiguity. It requires structuring how you think through it. Several tools consistently help leaders move from hesitation to progress.
Scenario planning allows leaders to map likely paths forward and test assumptions before committing to a course of action. Rather than trying to predict which scenario will occur, the goal is to stress-test decisions against multiple futures, identifying which choices hold up across different conditions and which depend heavily on things going a specific way.
The reversibility filter is a simple but powerful sorting mechanism. Leaders who ask whether a decision can be changed later, if new information emerges, can move faster on low-stakes, adjustable choices and apply more deliberate care to those that are harder to undo. Conflating these two categories is one of the most common sources of unnecessary delay.
A premortem, the practice of imagining a bad outcome and then working backward to identify what caused it, surfaces problems that optimism tends to obscure. It is a structured way to play devil’s advocate before a decision is made, rather than after something goes wrong.
Consequence mapping, which traces second and third order effects of a potential decision, helps leaders see past the immediate outcome to what that outcome sets in motion. A choice that looks straightforward in isolation often looks more complicated when its downstream effects are made visible.
When generative AI tools like ChatGPT began gaining traction, many professional services firms faced a familiar dilemma: adopt early with unclear risks or wait for more certainty.
Leaders who moved effectively treated AI adoption as a reversible decision. Instead of a full rollout, they launched controlled internal pilots for tasks like research and drafting. Using scenario planning, they explored outcomes ranging from rapid productivity gains to regulatory constraints. A premortem surfaced risks around data privacy and accuracy, leading to clear usage of guardrails.
The decision was not “fully adopt AI,” but “experiment quickly, learn, and adapt.” Firms that took this approach built capability early, while others delayed and later had to catch up under pressure.
The takeaway: when uncertainty is high and reversibility is possible, progress comes from structured experimentation not waiting for clarity.
A useful leadership habit is distinguishing decisions that require speed from those that need deliberation. Not every ambiguous decision requires the same pace and treating them all the same wastes time in both directions.
Move quickly when:
Slow down when:
Madeline Bell, CEO of the Children’s Hospital of Philadelphia, described her role during the pandemic as being the "Chief Reassurance Officer," recognizing that her presence and steadiness mattered as much as any specific decision she made. Visibility communicates confidence, and confidence creates the conditions for teams to keep moving.
Leaders make stronger decisions when they involve the right voices at the right time, and weaker ones when they either exclude input entirely or open the process to everyone indefinitely. The distinction is intentional.
Collaboration adds value when multiple groups are genuinely affected, when team expertise varies across the decision domain, and when untested assumptions need to challenge. It becomes a liability when it creates the illusion that consensus equals alignment, or when it delays a decision that the leader already has the authority and information to make.
One productive practice is naming what is unclear rather than masking it. When leaders share what they know, what they do not know, and what they are trying to find out, teams engage more constructively than when they sense ambiguity is being managed rather than addressed. Tim Ryan, former Chairman of PwC, captured this well: "There’s a lot of scary stuff that we can’t control. What we can control is how quickly and how confidently we react to change."
In many genuinely difficult decisions, the facts do not point clearly in one direction. Two paths might carry comparable risk, comparable cost, and comparable upside. In those moments, organizational values do the work that data cannot.
Leaders who return to values when choices feel evenly balanced accomplish two things simultaneously. They make a decision that is consistent with what the organization has committed to, and they communicate that consistency to the people watching. When teams understand not just what was decided but why, in terms of what the organization actually stands for, trust compounds over time.
The practical sequence is straightforward: name the tension between competing priorities, identify which value matters most given the specific situation, and explain that reasoning clearly. This approach does not eliminate disagreement, but it grounds disagreement in something substantive rather than leaving teams to fill gaps with their own interpretations.
When leaders go quiet during uncertain periods, teams fill the silence with assumptions, and those assumptions are rarely optimistic. Consistent communication is one of the most direct ways leaders reduce anxiety and maintain forward momentum.
Effective communication during uncertainty involves sharing not just what was decided, but how the decision was reached, what factors were weighed, what remains unknown, and how the leader will adjust if new information changes the picture. This level of transparency does not require certainty about outcomes. It requires honesty about process, and that honesty is what builds durable trust.
The content of messages matters, but so does the tone. Language that emphasizes shared effort, "we," "us," "together," reinforces that uncertainty is a collective experience being navigated with collective resolve, rather than a problem the leader is managing alone while the team waits for instructions.
Strategic decision-making in unclear conditions is ultimately a practiced discipline. Leaders who build these habits, separating reversible from irreversible decisions, using structured tools to surface assumptions, anchoring choices in values, communicating reasoning transparently, develop a consistency that their teams come to rely on. For professionals looking to deepen these capabilities through structured frameworks and real-world strategic application, the Senior Business Strategy Professional (SBSP™) program offers a practical path to strengthening decision-making under uncertainty. That reliability is what makes the difference when conditions are most difficult, and direction is most needed.
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