Learn the three types of decisions and how to choose the right type based on your situation.
There are three different types of decision that you can make.
The first is no downside. You would take this action no matter what the possible future environment is.
The second is favorable odds. Based on your certainty around the way the future’s going to play out, this decision should have a positive outcome. However, there’s a possibility it could have a negative outcome.
And the last type of decision is going for broke. The future is uncertain. Being right could bring huge upside, but being wrong could cause a lot of problems.
So for example, a no downside decision is hiring a new administrative assistant. This is no doubt, you need the help. The cost is low and the risk is low. And you could further reduce that little bit of residual risk by doing some job interviews, perhaps checking out the individual’s references, and even running a trial period where the individual comes on, does the job, and you see how they do.
A favorable odds example is reorganizing your entire department. It’s favorable odds that you’re going to have a good outcome because you have a good sense of your people, and the decision is reversible. Additionally, it’s a very small investment to make, to move people around and change their responsibilities. You still face some risk here. So the way you can reduce that is get input from other people on the way you’re going to reorganize, maybe get some of the team members input, and you can still reverse that decision.
Now, a big bet decision, a going for broke type of opportunity is spending $5 million to completely rebuild your company’s website in a rapidly changing and highly competitive market. This is a big bet. $5 million is a huge cost. You don’t know how your customers are going to react. The payoff is uncertain and you have a lot of risk because you don’t know how your competitors are going to respond. You need to reduce this risk as much as you can. So maybe you do some market research or launch a pilot website to see how your customers respond.
So remember a goal in all decision-making is to make the best decision while reducing the ambiguity and risk you face as much as possible. And by reducing that ambiguity, gathering more information, you’re going to reduce risk, and make better and safer decisions.
Want to learn more about decision-making strategies? How about taking an entire course on it? Go directly to the course and start learning decision-making strategies. The entire course is available at LinkedIn Learning. Enjoy!
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Our reader poll today asks: When you see conflict between your team members, what do you do?
I stay out of it and let them settle things on their own – 17%
I point it out and ask them to resolve it – 23%
I offer to assist in resolving it – 31%
I step in and coach them to resolution – 24%
I immediately jump in and resolve things as I see best – 5%
Teach them to resolve conflict. Ignoring conflict on your team can lead to more conflict in the future. What’s important is helping team members build the skills to resolve conflict on their own. There might be conflict simply because they don’t know how to deescalate things or they lack the tools to do so productively. Many of you indicate you offer to step in and help as well as offer coaching on how they can handle things productively in the future. Don’t shy away from doing so. By offering, you’re allowing them to choose whether or not to get assistance. When it’s their choice, the likelihood of them listening and internalizing what you’re teaching goes up significantly. Staying out of the conflict is just a recipe for future problems – get involved.
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Our reader poll today asks: What is your biggest concern when delegating work to a team member?
They’ll perform the task poorly/incorrectly – 45%
They’ll do things differently than I would – 10%
They won’t finish the task on time – 18%
They’ll do a great job and “show me up” – 4%
They’ll feel overwhelmed and get stressed out – 22%
Fear of Failure is Prevalent. 63% of you fear delegating a task because it will be done poorly, incorrectly, or not get done on time. Instead of just taking on the task yourself, reduce these risks with proper training, instructions, and periodic check-ins to see how the task is progressing. The more you delegate and the more your team members learn, the less risk you’ll be taking on and the more other work you can get done. For those of you who fear overwhelming your team members (22%), ask them to share their current priorities and how much bandwidth they believe they have. Conduct a “reality check” with them on their available time and energy. Factor in that new tasks will take them 25-50% longer than they expect. If they’re comfortable with that and the execution plan you jointly develop, delegate the task and monitor their progress.
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Learn how to make a decision when you face a situation with completely unpredictable outcomes.
The fourth state of ambiguity you might find yourself in is one with completely unpredictable outcomes.
Let’s look at a situation where I give you a card and it’s the seven of clubs. And then I give you another card and it’s the queen of diamonds. The next card is an UNO card. And then I give you a joker from a deck of cards. The next card I give you is a credit card, then a greeting card, then a baseball card, then a SIM card.
It’s not clear what the next outcome is going to be. You have no way to predict what the next card is that I’m going to give you. It’s impossible. Even with a lot more information, you would be hard pressed to even construct a scenario where you would be able to figure out what that card is going to be.
Let’s imagine I said, “Hey, would you bet a hundred dollars on betting what that next card is?” Would you take that bet? What if I told you you could win a thousand dollars on that bet. Or a hundred thousand. Or a million. At what point do you take that bet? The uncertainty is too high in this situation. And the value of incremental information is going to be extremely high.
So when you’re facing situations with complete ambiguity, the value of spending the time to gather additional data, construct possible scenarios, is going to help you make a much better decision. And sometimes the way you can eliminate some of that ambiguity is to actually move to a phase decision-making approach, where you make a decision, you gather some additional data, and you make another decision. So breaking those big decisions down into smaller ones will reduce that risk.
Let me offer an example of what this might look like. Let’s say your company is based in California, and you’re looking at expanding your service offerings. So you decide you’re going to expand into India. Now there’s a lot of ambiguity in this situation.
First, you don’t know how customers are going to receive your new service. Your service has never been offered in that geography before. You have no idea how your competitors are going to react. There may be regulators who are going to govern how your service is offered, and you have no idea how those regulators are going to decide whether your service is offered or not. You don’t know what the employee capabilities are in that market. Is there a talent pool that can actually deliver your service? You may be unsure about the economic environment long-term in the Indian market.
So as you look at this very large decision, there are so many sources of ambiguity that you are really facing a situation with completely unpredictable outcomes. Given all that uncertainty you face, it’s critical that you reduce that ambiguity. So what are some ways that you could do that?
Well you could run a small pilot of your service in the Indian market to gauge true consumer receptivity to your service. You may have conversations with regulators and ask them what decisions might they make about your service. What regulations do they plan on putting in place? You could look at your competitors and see how their offerings fare in the Indian market. Maybe pick up your competitors annual report and look at their strategic plan. See what reactions have been in the past when they’ve had somebody go head to head with one of their service offerings. You could look at the Indian economic forecast and understand what are some of the trends that could affect your service, positively or negatively? The value of gathering all this additional information as you go to make a major decision of entering a new geography is critical.
So if you find yourself in a situation of complete ambiguity, complete uncertainty, remember, the most important thing you can do is gather additional information in order to reduce that ambiguity which is going to reduce the ultimate risk that you face when you make your decision.
Want to learn more about decision-making strategies? How about taking an entire course on it? Go directly to the course and start learning decision-making strategies. The entire course is available at LinkedIn Learning. Enjoy!
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Our reader poll today asks: Who has had the most influence on your leadership skills over the course of your career?
A family member – 10%
A boss I worked for directly – 54%
A senior leader at levels above my boss – 11%
A school coach or a teacher/professor – 8%
A leadership expert/coach – 4%
Someone else – 12%
Managers Matter. 65% of you report either a direct manager or a leader above them has had the greatest influence on your leadership skills. We can safely assume your team members would answer this question the same way. The next natural question, then, is whether or not your team members see you as having a great deal of influence on their leadership skills. What are you doing to help them become better leaders? Are you actively coaching and supporting them in their career development? Are you teaching them how to lead or are you just managing their activities? Managers clearly matter. Aspire to be the leader they point to in the future when they say “that person had a huge positive impact on my leadership skills.”
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Learn how to make a decision when you face a spectrum of outcomes.
The third state of ambiguity you might face is one where there’s a spectrum of outcomes.
Let’s imagine you’re playing cards and I give you four cards, eight, nine, 10, and Jack of clubs. And you see your opponent’s hand and they have five cards, two of which are nines. Now there’s 44 Cards remaining in the deck. And there are 22 of them that might beat your opponent’s hand if I give you that card.
Would you take that bet?
Would you bet $100 on your hand and the outcome of that next card if you knew it might beat your opponent?
The value of additional information in a situation where there’s a spectrum of outcomes is very high. Knowing what that next card is, knowing what one more of your opponent’s cards is, can fundamentally alter your bet in that situation. Gathering more information from multiple sources is highly valuable and helps you reduce the ambiguity you face.
The corollary here is in a situation at the office where you have a spectrum of outcomes, gathering additional input from multiple stakeholders is going to help you arrive at a better decision because you can reduce that ambiguity.
Allow me to offer a situation. Let’s say you have five open positions on your team, and you’re trying to figure out how many candidates do you invite to come onsite to interview for those five roles? How many should you invite? Because it’s costly to invite people in to interview. Some of the sources of ambiguity you might face are what percentage of candidates will pass the interviews, from 25 to 75% might pass, that’s a standard range, but it’s a very broad range.
And if they pass, what percentage of them will actually accept the role? Let’s say you knew that’s between 25 to 100% are going to accept the job offer. And as you look at all of these variables, it’s still not clear how many people to invite onsite for those five roles.
What are some ways that you can reduce all this ambiguity you face? You might do some rigorous resume and phone screening of these candidates. You could pre-screen candidates for knockout factors. You may do a background check on them. You would hate to make a job offer to someone, only to find out on the back end that they have something in their past that will prevent them from taking the role.
You might ask candidates if they have other job offers that they’re pursuing, because that’s going to help you reduce that uncertainty around how many are going to accept the job offer. You could even ask people what their salary requirements would be if they received an offer from you. Again, trying to reduce that ambiguity around how many people will accept the offer if you make it.
The value of additional information in this situation is very high. There’s a spectrum of outcomes, 25 to 75% might pass, 25% to 100% may accept the offer, but those are very broad ranges. And the value of that additional information that you can gather during the process is going to help you make a better decision on the front end, in terms of how many people to bring in.
So if you face a situation where you have a spectrum of outcomes, remember, the value of additional information is very high and it’s very worth your investment in gathering that data.
Want to learn more about decision-making strategies? How about taking an entire course on it? Go directly to the course and start learning decision-making strategies. The entire course is available at LinkedIn Learning. Enjoy!
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Our reader poll today asks: How does your organization view using external resources for training and development?
We almost exclusively use external providers for training/development – 8%
We mostly use external providers for training/development – 23%
We sometimes use external providers for training/development – 42%
We sometimes use external providers for training/development – 42%
We rarely use external providers for training/development – 19%
We don’t ever use external providers for training/development – 8%
Reliance on External Experts. 73% of you go outside your own walls for help with training and development. For the 27% who rarely or never seek external help with training, ask yourself why. If it’s budget related or you don’t invest in your people, consider making those investments if you want to retain them. If it’s the belief of “we know this better than external providers do,” challenge that assumption. Sure, you likely know internal products, processes, and systems better than external providers and in those cases you’re better off training those skills. But for more common skills like communication, leadership, and problem solving, consider whether or not you truly have deep expertise on those topics and on training people how to build those skills. Just because you know it doesn’t mean you can teach it. And when you factor in the true cost of building internal training and development resources as well as the potential quality differential with external experts, you might find the business case for doing it yourself is actually more expensive than going outside your own walls.
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Learn how to make a decision when there are two distinct possible outcomes.
In situations where there are distinct, possible outcomes involving more parties in the decision-making process is going to help you handicap the odds of each outcome and assist you in contingency planning for whatever’s going to happen.
Let’s look at an example. Imagine you’re launching a new product where there’s a lot of demand for it, but the product is highly regulated, and we have a political election coming up in a couple of years. Now there’s two parties that can be elected, party A or party B. If the candidate from party A is elected, they’re likely to pass regulations that will be favorable to your product. If the candidate from party B gets elected, they’re likely to pass regulations that are unfavorable to your product. So there are two distinct possible outcomes here. But the result of that outcome is going to have a dramatic effect on your product. So how can you reduce the ambiguity around this and contingency plan appropriately?
You may look at midterm election results and analyze political maps to see which party is more likely to be elected. You can do some market research on the features of that product and look at features that might be harmed or eliminated if one party is elected, or features that could be promoted in the marketplace if the other party is elected and see what the result might be on your product sales. You could do market research on features you could replace in a product that would cause fewer political issues. So knowing that you have a distinct set of two possible outcomes here, you can build your contingency plans now so when that ambiguity gets resolved later, you know which path to take and what decisions to make at that time.
So if you find yourself in a situation where the ambiguity is a set of distinct possible outcomes, the critical thing you need to do is look at each of those outcomes and put in place contingency plans, so when that ambiguity gets resolved, you know what actions you’re going to take.
Want to learn more about decision-making strategies? How about taking an entire course on it? Go directly to the course and start learning decision-making strategies. The entire course is available at LinkedIn Learning. Enjoy!
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The first state of ambiguity you might find yourself in is one with highly predictable outcomes.
As we make decisions, there’s always the unknown out there. We face ambiguity in every decision we make. There are four states of ambiguity that you need to appreciate and understand, as you’re trying to make decisions. The first state of ambiguity you might find yourself in is one with highly predictable outcomes.
Let’s imagine I’m going to deal you some cards. I give you the two of clubs, three of clubs, four of clubs, five, six, seven, eight, nine of clubs. If I gave you a hundred dollars to bet on what that next card would be, what are the odds you’re going to pick the 10 of clubs? It’s highly predictable. You don’t need a lot of incremental information to say what’s going to happen next. The next outcome is reasonably easy to forecast. You require little incremental input to eliminate that ambiguity and decisions can be made with fewer parties involved because you don’t need additional information.
Now, let me offer an example of a situation with a highly predictable outcome and how you could react to it. Let’s imagine you have a service and you’re going to make a very small change to a long standing service offering. The source of ambiguity is how are customers going to receive that change? How are they going to react when you make that change? And how many are going to buy that modified service?
What if I told you your customer counts have been stable and predictable for years and that change you’re making is based on an existing and very popular service. You know what’s going to happen in this situation. Now there’s some additional ambiguity you’ll need to resolve. You’ll need to confirm your customer count, but it’s pretty easy to forecast and you may want to do a small focus group to see how that service offering is going to be received once you make those changes.
So again, you don’t need to gather a lot of additional information and you can make the call pretty quickly in a state of ambiguity, where there are highly predictable outcomes.
Want to learn more about decision-making strategies? How about taking an entire course on it? Go directly to the course and start learning decision-making strategies. The entire course is available at LinkedIn Learning. Enjoy!
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Our reader poll today asks: How is AI being handled in your organization?
We have extremely strong adoption – 7%
We have solid adoption in key functions – 24%
We have limited adoption – 47%
Leaders push it, but we have minimal adoption – 10%
No one cares or is using it – 12%
AI Adoption is Growing. Almost 1/3 of you are seeing strong AI adoption at your companies. That’s likely a function of company culture and how strong the use cases are for AI use in your organization. When the return on investment is clear, adoption follows. For those seeing limited adoption, it’s fine to question the use case for AI and the benefits you receive. Many organizations are pushing adoption now because it “seems important” but without clear use cases and benefits, users are unlikely to adopt because it doesn’t make sense to do so. If you’re looking to push AI adoption at your organization, first get clear on the business rationale and benefits. If you can explain those clearly, your teams will see the case for working differently. If the benefits are questionable, perhaps don’t push adoption as it will frustrate your teams.
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When making decisions, you have to appreciate and understand the impact that that ambiguity is going to have on the decision you’re going to make and the risks it carries with it.
As we make decisions, there’s always the unknown out there. We face ambiguity in every decision we make. There are four states of ambiguity that you need to appreciate and understand, as you’re trying to make decisions.
The first state is highly predictable. You know what the future’s going to bring. And with that knowledge, you can make an appropriate decision.
The second state of ambiguity is distinct possibilities, where there are two, three, maybe four possible future alternatives. And what you can do in a situation where there’s distinct possibilities is you can contingency plan based on which of those four might happen.
The third state of ambiguity is a spectrum of outcomes where there’s a very broad, but definable set of outcomes that could happen.
And the last state of ambiguity is complete unpredictability. There’s no way to know what the future is going to hold.
So as you look at making decisions, you have to appreciate and understand the impact that that ambiguity is going to have on the decision you’re going to make and the risks it carries with it.
Want to learn more about decision-making strategies? How about taking an entire course on it? Go directly to the course and start learning decision-making strategies. The entire course is available at LinkedIn Learning. Enjoy!
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Youth leadership specialist J. Chad Mitchell discusses how habit stacking can help young leaders build their influence and keep them consistent.
Today’s guest post is by J. Chad Mitchell, author of ‘Change Your Game: Empowering Young Leaders to Ditch Doubt, Find Their Voice, and Impact the World.’
Goal setting is everywhere. Promotions. Career pivots. Leadership growth. Personal development. Professionals are often clear about what they want next.
But many well-intentioned goals flame out.
Motivation usually is not the problem. It’s a systems problem.
Goals provide direction. Habits create traction. Learning to focus on consistent systems rather than short bursts of effort is one of the most important leadership shifts emerging leaders can make.
Start With What Matters Most
Before talking about habits, effective leaders begin with a more fundamental question: What matters most?
Sometimes professionals adopt goals without critically considering whether those goals align with their values. Leadership habits are more likely to stick when they reinforce what moves you: integrity, trust, growth, service, or excellence.
When habits align with values, they function as expressions of identity. That alignment helps make consistency more likely.
Goals Point the Direction; Habits Do the Work
Goals are aspirational. They help clarify what success looks like. Habits are the vehicle that gets you there.
Think of a goal as a destination and habits as the road. Without a reliable road, even the clearest destination is iffy. This is a key reason goals fail. The vision exists, but the structure to get there does not.
Modern culture rewards speed, visibility, and instant results. Metrics update in real time. Messages demand immediate replies. Progress is expected quickly.
But leadership development works differently. Trust, influence, credibility, and judgment are built slowly through repeated behaviors.
This is where habit stacking becomes especially powerful.
What Is Habit Stacking?
Habit stacking (hat tip to author S.J. Scott and BJ Fogg from Behavior Design Lab at Stanford) is the practice of attaching a new, intentional behavior to something you already do. Instead of relying on willpower, you rely on structure.
This approach works because it removes friction. When the trigger is already embedded in your day, the habit requires less motivation and mental energy to execute.
For professionals with full calendars and competing demands, this matters. Habit stacking does not require dramatic lifestyle changes. It fits into real life.
Here are a few practical examples:
After opening my laptop each morning, I will write down one leadership behavior to practice that day.
After a meeting ends, I will send one appreciative follow-up.
After reading a challenging message, I will pause for three breaths before deciding how best to proceed (e.g., phone call, email 12-hours later).
After my morning drink at 8:30 a.m., I will make that difficult phone call.
None of these actions are impressive on their own. But relationships are rarely built through big, one-time gestures. Leadership is built through small, repeatable behaviors that shape how others experience working with you.
Why Consistency Beats Intensity
Many emerging leaders believe progress requires bold moves or visible wins. Habit stacking –small actions, practiced consistently, that compound–drives sustainability.
Compounding is easy to understand financially, but applies just as powerfully to leadership. A single well-run meeting may not change much. But consistently well-run meetings build credibility and momentum. One supportive conversation may not feel significant. But repeated support and listening build trust.
Over time, those habits stack into influence.
Building Leadership Systems That Last
Organizations often focus heavily on outcomes: performance metrics, advancement, results. A more durable approach is helping people build systems that make those outcomes likely.
Three principles make habit stacking effective for leadership development:
Start small enough that consistency is almost guaranteed.
Attach the habit to something already embedded in your day.
Anchor the habit to identity, not achievement. Ask, “What kind of leader does this habit help me become?”
When people begin to see themselves as someone who prepares well, follows through, listens carefully, or develops others, leadership becomes how they operate rather than a role they switch on.
Commit to the Long Game
Habits do not change overnight. It takes weeks of repetition before a behavior becomes automatic. This reality is often overlooked in professional development, where quick wins are celebrated and patience is undervalued.
Leadership growth rewards those willing to stay consistent long enough for habits to take root. Across age groups and settings, the pattern is consistent. People grow the most not when they set more aggressive goals, but when they commit to small, repeatable actions aligned with what matters most.
Confidence, integrity, and influence are not activated instantly. They are built through habits practiced over time.
When professionals internalize that habits matter more than hype, progress becomes steadier and more resilient. They stop waiting for motivation. And they start showing up consistently, one deliberate action at a time.
Those actions compound. Reliably.
That is how leaders and healthy cultures are built.
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https://i0.wp.com/www.thoughtleadersllc.com/wp-content/uploads/2026/02/20260207-Stacking-Blocks.jpg?fit=1920%2C1280&ssl=112801920Trevor Joneshttps://www.thoughtleadersllc.com/wp-content/uploads/2022/04/logo.pngTrevor Jones2026-02-09 08:02:512026-02-07 00:30:42Habit Stacking: How Emerging Leaders Build Influence Through Consistency