Projects rarely go exactly as planned. I learned that the hard way when a simple tech upgrade turned into a major change. We didn’t anticipate how people would actually use the new system, and that caught us off guard. Some risks were measurable, but others appeared out of nowhere.
That’s when I realized how important it is to understand the difference between risk and uncertainty. Risk involves situations where we can estimate probabilities. Uncertainty arises when we don’t know all possible outcomes.
According to a World Economic Forum study, businesses that manage both risk and uncertainty effectively tend to be more resilient.
In today’s blog post, I will explain these concepts, explain how to manage them, and offer practical tools to help your next project succeed.
What is Risk?
Risk refers to potential events that could impact your project’s objectives—positively or negatively—but with a known probability and potential impact. Risks are measurable threats or opportunities you can identify, assess, and mitigate using data-driven tools.
Risk refers to situations in which the odds of different outcomes can be estimated. You can use historical data or experience to assign probabilities and anticipate consequences.
Key Characteristics of Risks
- Probability-Based: You can assign a likelihood (e.g., 30% chance of vendor delay).
- Quantifiable Impact: Costs, timelines, or quality metrics can be estimated.
- Proactive Handling: Use techniques like SWOT analysis or qualitative/quantitative assessments.
For example, you may know that software projects often run 27% over budget on average. Because risks are quantifiable, you can plan to mitigate them.
Importance of Managing Risk
Recent statistics underscore why proactive risk management matters:
- High Failure Rates: About 70% of projects fail to deliver on their promises. Implementing a structured management process reduces the failure rate to 20% or less.
- Financial Waste: Nearly 9.9% of every dollar invested in projects is wasted due to poor performance.
- Underinvestment in Project Management: Organizations that undervalue it experience 50% more failures.
These numbers show that risk management is not an optional add?on; it’s essential for controlling costs, schedules, and quality. Robust processes help you meet objectives and save money.
Risk Management Steps
- Identify Risks Early: Brainstorm with the team, review assumptions, consult subject?matter experts, and examine project documents. Use checklists from previous projects.
- Analyze Risks: Qualitative techniques, such as probability?impact matrices, and quantitative methods, such as Monte Carlo simulations, help prioritize risks.
- Plan Responses: Choose strategies such as avoidance (changing the plan to remove the risk), mitigation (reducing the impact or likelihood), transfer (e.g., insurance), or acceptance (acknowledging the risk without extra action).
- Monitor and Control: Track risks through a register, assign owners, and review during regular meetings. Adjust plans as project circumstances change.
Engaged sponsors boost success. A study found that projects with supportive sponsors are 2.5 times more successful. Make sure your sponsor stays informed and advocates for necessary resources.
What is Uncertainty?
Uncertainty is different from risk. It describes situations where the list of possible events is unknown and probabilities cannot be estimated. In other words, you don’t know what you don’t know.
Pandemics, sudden regulatory changes, or breakthrough technologies are examples of uncertainties because there’s no reliable data to predict how or when they will occur.
Key Characteristics of Uncertainty
- Unpredictable Nature: No historical data exists (e.g., impact of a sudden geopolitical event).
- Broad Scope: Affects strategy at a high level, like emerging tech disruptions.
- Reactive Focus: Emphasize scenario planning and adaptive governance.
Recent research indicates that managing uncertainty is becoming increasingly complex. In Thomson Reuters’ Risk & Compliance Survey, 62% of risk and compliance teams reported larger departments due to in?sourcing. The study also notes that 82% of respondents see data and cybersecurity as top risks.
These figures highlight how new types of uncertainty—such as cyber threats, supply?chain disruptions, or artificial intelligence—force teams to adapt quickly.
Key Differences Between Risk and Uncertainty
The following table shows the key differences between risk and uncertainty:
| Parameter | Risk | Uncertainty |
| Probability of outcomes | Probabilities can be estimated based on past data. | Probabilities cannot be estimated because possible outcomes are unknown. |
| Number of outcomes | Limited and defined—often a narrow range. | Open?ended; many unknown possibilities. |
| Management approach | Use risk management processes: identification, analysis, response, and monitoring. | Use flexible strategies: scenario planning, contingency reserves, adaptive decision?making. |
| Insurance availability | You can transfer risks through insurance or contracts. | You can’t insure against uncertainties because outcomes are undefined. |
Understanding these distinctions helps you choose the right approach when planning your project.
Decision-Making Under Risk and Uncertainty
When dealing with risk, you have enough information to estimate odds. Follow a simple decision process:
- Clarify Your Goal: Know what you want to achieve—finish the project on schedule, meet quality standards, or stay under budget.
- Check for Low?Risk Options: Sometimes you can change the plan to avoid the risk altogether, such as choosing proven technology over an experimental one.
- Assess Your Risk Appetite: Decide how much uncertainty you’re willing to accept. For example, are you comfortable with a 20% chance of missing the deadline?
- Choose the Best Option: Compare options based on expected costs and benefits. Pick the one that meets your goal with an acceptable level of risk.
When facing uncertainty, you cannot assign probabilities. Here are methods to cope:
- Scenario Planning: Develop multiple plausible scenarios and assess how your project might respond to them. Identify triggers that will shift you from one scenario to another.
- Minimax Regret: This approach minimizes the worst?case regret. You choose the option that limits how badly you would feel if the uncertain event occurred.
- Real Options Thinking: Treat decisions as options that you can delay or expand once you have more information. For example, build a prototype first instead of fully committing to an untested technology.
- Build Flexibility: Design contracts, schedules, and budgets with buffers. Allocate contingency reserves and maintain agile processes.
Managing Project Risks
The risk management framework is your toolkit for turning unknown events into manageable tasks.
You can use the following key techniques:
Risk Identification Tools
- Brainstorming and Expert Interviews: Gather cross?functional views.
- Checklist Analysis: Use checklists from previous projects, industry guidelines, or the Project Management Institute standards.
- SWOT and PESTLE Analysis: Consider strengths, weaknesses, opportunities, threats, political, economic, social, technological, legal, and environmental factors.
- Assumption Analysis: Challenge assumptions and identify where they could fail.
Risk Analysis Methods
- Qualitative Analysis: Use probability?impact matrices to rank risks.
- Quantitative Analysis: Apply Monte Carlo simulation or Decision Tree Analysis to evaluate numeric impacts on cost and schedule.
- Sensitivity Analysis: Identify which variables have the greatest impact on project outcomes.
Risk Response Planning
- Avoid: Change the plan to eliminate the threat.
- Mitigate: Reduce the probability or impact. For example, hire experienced contractors to reduce schedule risk.
- Transfer: Share the risk through insurance, warranties, or contracts.
- Accept: Acknowledge the risk and prepare a contingency plan. This is common when the cost of mitigation exceeds the potential impact.
- Escalate: The escalate risk response strategy means transferring the ownership of a risk to higher authorities when it’s beyond the project manager’s control or influence, ensuring timely action.
Document responses in a risk register and assign owners. Update the register regularly.
Monitoring and Controlling Risks
Establish a risk review meeting schedule. Integrate risk updates into status reports. Use Key Risk Indicators (KRIs) to signal when a risk is escalating. For example, a rising number of change requests may indicate scope creep.
Projects are far more successful when risk management is embedded into daily routines. High?performing organizations meet their goals 2.5 times more often.
Managing Uncertainty in Projects
Unlike risk, uncertainty cannot be thoroughly planned away. However, you can build resilience by following these steps:
- Embrace Agile Practices: Agile frameworks promote iterative delivery and regular feedback, allowing you to pivot as new information emerges.
- Strengthen Communication: Keep stakeholders informed about potential uncertainties. Open communication channels encourage quick adjustments.
- Develop Contingency Reserves: Set aside budget and schedule buffers for unforeseen events.
- Use Early Warning Indicators: Monitor external signals—such as regulatory changes, market trends, and technological disruptions.
- Invest in learning and innovation: Encourage small experiments to explore new technologies or processes. The results provide data points for better decisions.
- Diversify Resources: Avoid over?reliance on a single supplier or technology. Redundancy improves flexibility.
- Build a Culture of Adaptability: Encourage the team to view uncertainty as an opportunity rather than a source of paralysis. Support them when plans change.
These practices help you navigate environments without historical data to guide you.
Unknown Risks Vs Uncertainty
People often confuse unknown risks with uncertainty. An unknown risk is an event that could have been identified but was overlooked during the risk identification process.
For example, failing to check a key supplier’s financial health could lead to a supply chain collapse. In contrast, uncertainty arises when an event is inherently unknowable—such as a sudden global pandemic or a radical technology breakthrough.
To manage unknown risks, improve your identification processes. Use diverse brainstorming teams, maintain a lessons?learned database, and allocate a management reserve—an extra buffer to cover unknown risks. To manage uncertainty, focus on flexibility and resilience as described above.
Examples of Risks and Uncertainties
A classic example of risk management comes from software development. According to the Standish Group’s CHAOS study, only 31% of software projects are delivered on time, within budget, and meet expectations. 52% are “challenged”, meaning they overrun budgets or schedules or fail to deliver promised features. 19% fail. These figures highlight the importance of early risk identification and continuous monitoring.
The same study notes that large IT projects run an average of 27% over budget, with some overruns exceeding 200%. A famous case is that of Knight Capital, a trading firm. A faulty software update led to losses of $440 million in 45 minutes, forcing the company to sell itself. Proper risk controls, staged rollouts, and robust testing could have mitigated this risk.
On the uncertainty side, consider the COVID?19 pandemic. Before 2020, there was little data on how a novel coronavirus might spread or how global lockdowns would affect supply chains. Organizations that built agile processes, diversified suppliers, and invested in digital collaboration tools navigated the uncertainty better than those that relied on fixed plans.
Another emerging uncertainty is cybersecurity. The Thomson Reuters survey shows that 82% of risk leaders place data and cybersecurity among their top priorities. Cyber threats evolve quickly, making it difficult to assign probabilities. To cope, firms are expanding internal teams, adopting zero?trust architectures, and performing regular penetration testing. These steps increase resilience in a rapidly changing landscape.
A Real World Example Explaining Risk Vs Uncertainty
Imagine two well-known football teams are playing tomorrow.
Can you say with certainty who will win? Of course not. But you can make an educated guess. You could look at each team’s past performance, how they played against each other before, and current player stats. Based on that data, you might say, “There’s a 30% chance Team A wins” or “Team B has a 70% chance of losing.”
That’s risk—you don’t know the outcome, but you have enough information to estimate probabilities.
Now, picture another match between two teams made up entirely of new players. You know the rules, you see the field, but you don’t know anything about the teams themselves. If someone asks who will win, you can’t even guess.
That’s uncertainty—you have no past data or performance records, so predicting the result isn’t possible.
FAQs
Q1. What’s the simplest way to explain the difference between risk and uncertainty?
Risk involves known possible outcomes and probabilities. Uncertainty arises when you don’t even know what might happen.
Q2. Can risks ever become uncertainties?
No. Risks are measurable. If probabilities cannot be estimated, you’re dealing with uncertainty and should use flexible strategies instead of conventional risk management.
Q3. How can I handle unknown risks in my project?
Improve risk identification processes, involve diverse team members, and allocate a management reserve to cover unforeseen events.
Q4. Why do so many projects fail despite planning?
Statistics show that 70% of projects fail. Causes include unclear goals, budget overruns, and lack of stakeholder alignment.
Q5. How big is the project portfolio management market?
It was about USD 5.7 billion in 2024 and is expected to reach USD 12.3 billion by 2030 with a CAGR of 14.2%.
Q6. What role does cybersecurity play in modern project uncertainty?
Cyber threats evolve quickly. The Thomson Reuters survey shows that 82 % of risk leaders view data and cybersecurity as top priorities, making it a key source of uncertainty.
Conclusion
Understanding the difference between risk and uncertainty helps you make better decisions. Risk involves known factors that can be measured and mitigated, while uncertainty deals with unknowns that can’t be predicted. By identifying risks early and planning flexible responses, project managers reduce surprises and improve outcomes.
Successful leaders don’t fear uncertainty—they prepare for it. Managing both ensures smoother projects, smarter strategies, and greater confidence when facing challenges in an unpredictable business world.
Further Reading:
I am Mohammad Fahad Usmani, B.E. PMP, PMI-RMP. I have been blogging on project management topics since 2011. To date, thousands of professionals have passed the PMP exam using my resources.
by identifies risk and I must proactive to the uncertainty event by doing this my project will be successfully doing.
You should be proactive in risk management. It will surely help you complete your project successfully.
Mathematically
Risk = an uncertain event if occurs can impact the outcome of event in a positive or negative direction
So it has two parts
Risk = Probability * impact
Now under probability theory an event can occur in three ways
1) It will happen ( a certain event) prob = 1, impact you can input based on your findings to find Risk
2) It may occur ( a probable event, however small it could be, those who talk about unknown unknowns or uncertainties all fall here) the probability could be infinitesimal or we just ignore it as It’s not worth * impact = get the risk value .
3) It will not happen ( improbable event, with zero probability) * impact = no risk associated.
There is nothing that falls outside it. Those uncertainties even we may may not think or imagine will also fall under it but only worry about the major probable events that may impact our project.
Your life has millions of variables all uncertain, even lightening striking us may have a probability, but we don’t really consider it Day to Day risk, but those who are not so lucky and it get struck , despite infinitesimal probability they loose.
Every single event whether known and unknown has a probability of occurrence and it sums up to 1.
Now you choose what your sample space is?
Well said Vinod.
I’m sorry, I disagree with the basic definitions you are using. To begin with, uncertainty is an umbrella term to define any known or unknown event or series of events. It encompasses Allowances, Contingency and Risks. Allowances are “known-knowns” whose exact value is not known at the time but whose expenditure is certain to occur. Hence an amount is assigned to this particular cost, and later revisited when additional information becomes available. Contingencies are “known-unknowns,” within the defined project scope. It is a specific provision for unforeseeable elements of cost within the defined project scope, particularly important where previous experience relating estimates and actual costs has shown that unforeseeable events that increase costs are likely to occur (AACEI). Contingency event estimates are made based on experienced judgment from subject matter experts (SMEs)on that estimate. Risks are the “unknown-unknowns” whose probability of occurrence and cost impact is not certain. But even the unknown-unknowns can be estimated by SMEs, based on their experience using Monte Carlo computer models to estimate the probability of occurrence and an estimated value of the impact. The Risk Register is where the risks (or opportunities) are listed and discussed in a Risk Workshop of SMEs, and both qualitative and quantitative descriptions are assigned to each risk element. The risk elements are prioritized, and the SMEs then look for mitigation measures to reduce or eliminate each risk. The residual post-mitigation risks are then used as the basis for the Monte Carlo computer analysis. The analysis will return the calculation that there is a (say) 80% probability that the total cost of the risks will be less than $ X thousand, or other percentages and impact cost depending on the risk estimator’s (or management’s) risk appetite. This amount should be added to the Project Base Cost (which would include Allowances) and the Contingency, defined as the Project Baseline Cost, to arrive at the project funded (or budgeted) cost.
For a more complete treatise on Uncertainty which I co-authored, please read “Addressing Uncertainties in Cost Estimates for Decommissioning Nuclear Facilities,” © OECD 2017, NEA No. 7344.
These definitions are based on the PMBOK Guide fifth edition.
Err unless you guys have decided project management should have a different definition of uncertainty than other fields of human endeavour like Science, engineering and medicine I suggest reading some of the many books on the topic. Uncertainty certainly can be measured and is used in serious fields to assign a probability that an outcome will happen within a defined range.
Google uncertainty in science or uncertainty budget
I fear you may have got some of your info from the field of economics (which can make astrology and black magic look bad) ;)
Can you explain it little further:
Uncertainty certainly can be measured and is used in serious fields to assign a probability that an outcome will happen within a defined range.
Thanks for sharing the ideas about risk and uncertainty. What Angel says is not different from your right and simple idea to make it clear. The difference is only in the statement but you both have presented the same difference eithet it is quntifiable or not which clears the fundamental difference between them. Thanks for making me more clear on the subject matter.
In uncertainty you completely lack the historical and pas information. The construction of a house or painting a wall does not fall in this category. Here you can estimate the cost will a good accuracy. Most of the times these contracts are given under fixed price or cost reimbursable.
In risk, you can guess the outcome but in uncertainty you can’t.
Can someone tell me the relationship of risk and uncertainty
Risk can be said to be an uncertain event which chances of occurrence can be predicted and measured whereas, uncertainty can also be said to be an uncertain event which chances of occurrence cannot be predicted and measured. The difference is that the probability of a risk event happening can be predicted and measured while the probability of uncertainty cannot be predicted and measured.
FAHAD
Can we say contingency plan dedicated for negative risk while management reserve dedicated for uncertain issues as we can’t guess their impacts?
This is a tricky question.
As per my understanding, since the uncertainty is a identified risk, you can passively accept the uncertainty and keep some contingency reserve based on educated guess.
I also request other visitors to share their thoughts on it.
Risk: We don’t know what is going to happen next, but we do know what the distribution looks like.
Uncertainty: We don’t know what is going to happen next, and we do not know what the possible distribution looks like.
Correct….
In my view uncertainty is imperfect knowledge. Throughout a project we strive to improve definition (reduce uncertainty) to improve chances of success (reduce risk of failure.) There are key uncertainties in projects that you must understand well before making strategic decisions.
Cost estimating is a good example to illustrate uncertainty.It is very difficult (if not impossible) to estimate the final cost of a complex project to the last cent. Do you remember what happened the last your did a remodelling job at your house? If you did not understand the uncertainty well, you may end up regretting the decision of remodeling the kitchen yourself. That is why you do the front end work: develop the scope, prepare the plans, get quotes, etc. it is to reduce uncertainty.
Uncertainty analysis helps us understand the expected ranges of outcomes & test against project objectives to make informed decisions. For example, we can test whether a project is resilient to various cost grow scenarios and make an informed decision to sanction the project. We can then characterise the risk or opportunity.
Sorry to add confusion but I agree fundamentally with Angel. .
Lets suppose we have to paint a wall in our kitchen.
Initially (at the planning stage) we are uncertain of the amount of paint to be used but can estimate it as a random number
We are uncertain of the time it will take to paint the wall .
There is a risk that the plaster will fall apart in preparation.
There is a risk that the paint will bubble after it has been applied.
Uncertainty is managed by research and by putting slack into a project
Negative Risk is managed by process improvement and recovery strategies.
Incidently you can have uncertainty about the likelihood of a risk event occuring :)
Hi Fahad,
Can you please help in providing details/difference of Perform Qualitative and Quantitative risk analysis?
Thanks,
Naveen
In Qualitative risk analysis, you prioritize the risks by multiplying their probabilities and impact. And in Quantitative risk analysis, you numerically analyse the risks. Here, you find the cost of each risk (if it occurs individually) and then you add it up to get the overall effect on the project.
Thanks a lot !!!
Both risk and uncertainty are inevitable in today’s scenario of Project Management. one has to driven his path midway.
Yes, one has to chose the best path suitable to the project.