Less reactivity, and more logic. Music to my ears.

Second-order thinking is often treated as a buzzword in tech circles, with many AI-powered startups claiming it as a core value, but most people are actually pretty bad at utilizing it effectively. They focus on immediate metrics or make decisions based purely on best-case scenarios, missing the ripple effects that follow. Many also make super reactive decisions instead of playing the strategic and slower long-game.

Tisk tisk.

So here's why I love second-order thinking so much and how to actually use it.

What is Second-Order Thinking

Second-order thinking is simply asking the question "and then what?" It's thinking long-term, into the unknown and mysterious future with a deeper understanding of the consequences of the consequences. This kind of thinking is really important, especially when making big decisions as this allows you to identify and mitigate risks before they become real-life problems.

This forward thinking engages your prefrontal cortex - the brain region responsible for planning and decision-making. Research suggests that when you mentally rehearse different scenarios ahead of time, you're better equipped to handle challenges when they arise. Your brain has already considered various possibilities, so you're more likely to respond thoughtfully rather than reactively. This can lead to less amygdala activation (your fight-or-flight response) during actual crises, helping you stay calmer and think more clearly when things don't go according to plan.

Second-order thinking requires you to understand why things are the way they are in their current state before making changes to fully understand what all of the potential short and long-term consequences may be. It's also a great way to slow your thinking down to keep your reactive decision-making tendencies in check.

Why is it useful?

Understanding the concept is one thing, but applying it systematically is where the real value lies. I employ this mental model quite frequently in my work building early-stage startup operations. It's particularly important when I'm coming into a situation where there is a lot of chaos that I need to tame or messy processes that need cleaning up.

Here's my framework:

1. Understand the current state: I won't tear any fence down before understanding why it's there in the first place. This will allow me to understand the original desired outcome and requirements, which informs what I'm going to build to make it better or tear it down completely.

2. Map out my options: I like using a decision journal template from Farnam Street for this exercise, and for more complex problems or processes, I'll use Miro to make a mind map and really get deep into brainstorming.

3. Evaluate my options: Elaborate on each option in terms of the potential risks and consequences. This is where true second-order thinking comes into play, and even past that, 3rd, 4th, etc. order thinking. I want to answer "and then what" until I can't answer it further.

4. Pick the best option: Self-explanatory. Highly recommend having your own decision-making framework to help in this step. Once you have it, the more you do it, the more effective and efficient it gets.

Here’s a concrete example from my work: I was running multiple functions at an early-stage startup, and every team was submitting all of their requests directly to me - everything from IT issues to HR requests to process questions.

I had become my own worst nightmare - the single point of failure, the bottleneck, the human speed bump.

First-order thinking says: "Just handle requests faster or tell people to figure it out themselves." Quick and dirty and makes my life a tiny bit easier in the immediate future.

But second-order thinking asks: "And then what?" If I just work faster, I'll burn out and the bottleneck will get worse. If I tell people to handle things themselves, what happens? Critical requests get ignored, teams duplicate efforts solving the same problems, and inconsistent solutions create bigger operational issues down the line. Then what? Productivity drops, frustration builds, and I end up spending even more time fixing the chaos.

Instead, I designed and built a help desk system in JIRA that categorized requests by type and automatically routed them to the right people or resources. The tool was easy to train our small team on and had an intuitive, easy to understand interface. Non-urgent requests got self-service solutions, while truly urgent items still came to me but with proper context and prioritization. This solution emerged only by thinking through what would actually happen if I took the obvious first-order approaches. Sure, it took more work and time upfront, but was one of the best solutions I built and was even able to use the framework at multiple other startups, making my life easier even outside of that role.

The best solution usually requires a bit more time and work, but will almost always have greater long-term benefits. Short-term gain usually ends up in long-term pain.

Other Use Cases

1. HR Investigations (and just HR in general): When an employee violates company policy, first-order thinking focuses on immediate discipline. Second-order thinking asks: How will this decision affect team morale? Will it encourage or discourage reporting future issues? What precedent does this set? For instance, being too lenient might signal that rules don't matter, leading to more violations. But being too harsh without context might create a culture of fear where people hide mistakes instead of learning from them.

2. Building a company: It's impossible to predict the future, which makes predicting success of a new business idea fundamentally uncertain. Second-order thinking, however, does make it easier to think through your strategic moves and paint a somewhat clearer picture of your outcomes. If you introduce a new feature, how will your users respond? What does x action do to your brand perception long-term?

3. Mass layoffs or AI replacement: A real-world example we see constantly is companies replacing people in droves with AI or conducting large layoffs to cut costs. First-order thinking says this saves money immediately - lower payroll, reduced benefits, streamlined operations. But second-order thinking reveals the hidden costs. And then what? Remaining employees become overworked and stressed. And then what? Quality drops, burnout increases, and institutional knowledge walks out the door. And then what? When business picks back up, you need to rehire and retrain new people at higher market rates. And then what? The damage to company culture and employee trust means top talent leaves, recruitment becomes harder, and you've created a cycle where you're constantly rebuilding your team instead of building on existing expertise.

4. Data Privacy and Security: I like doing an exercise in live workshops with teams to understand the larger impacts of simple mistakes, such as falling for phishing. We start with clicking a malicious link, then ask "and then what?" The malware installs. And then what? It accesses your email. And then what? It finds customer data. And then what? Data gets stolen and sold. And then what? Regulatory fines, customer lawsuits, reputation damage. One click of the mouse suddenly becomes a company-threatening event.

The Bottom Line

Second-order thinking works on it’s own, and even better when combined with other mental models, such as understanding incentives (what motivates the key players?) and inversion (what could go wrong?). This trio has become indispensable in my work because they force me to see the complete picture rather than just the immediate problem in front of me.

The next time you face a significant decision, try this: write down your initial solution, then ask "and then what?" at least three times. You might be surprised by what you discover - and what disasters you avoid. Slowing down your thinking will not only improve your outcomes, but train your brain to make less reactive and more thoughtful decisions.

As Charlie Munger famously said, "Show me the incentive and I will show you the outcome." This profound insight reveals an incredibly important fundamental truth about human nature—while we cannot control people's choices directly, we can powerfully shape their behavior by altering the incentives they face and creating an environment that encourages the desired behavioral choices.

One of the mistakes I’ve seen many startup teams fall victim to is trying to control the behavior of team members instead of focusing on creating the environment that encourages the desired behaviors. It’s critical to be aware that the only person’s behavior we can truly control is our own, but with tools like incentives, it increases the chances that we can influence lasting behavior change in others. In addition, incentives are one of the few proven tools that shift behavior for the long-term.

As an HR and Ops person at my core, it’s crazy to me that more people aren’t incorporating this knowledge into their systems and process design. In this post, I’m breaking down the basics of behavior, incentives, and how to apply them in the workplace context.

Understanding the Incentives Mental Model

At its core, the incentives mental model recognizes the fact that we respond to rewards and punishments. Self-preservation kicks in when faced with pain or danger, moving us toward pleasure and safety. This simple framework helps explain why people make the behavioral choices they do and provides a roadmap for how to influence behavior in predictable ways.

What makes incentives particularly powerful is how they interact with our subconscious decision-making processes. Contrary to what we might believe, most of our behavioral decisions aren't made through careful, conscious deliberation. Instead, most decisions occur rapidly in our subconscious mind, which constantly scans our environment for cues, threats, and opportunities.

The environment has the strongest influence on our behavioral decisions. If you want to make different choices, first try to change your environment.

This subconscious processing happens before we're even aware we're making a choice, which is why our environment exerts such a strong influence over our behavior. By thoughtfully adjusting incentives in the environment, we can shape these subconscious calculations before conscious reasoning ever begins, making the desired behavior path the one that feels most natural and rewarding. (This is where the concept of choice architecture and behavioral economics come into play - if you don’t know about these, check out the Farnam Street blog that does the most excellent job at explaining these.)

The beauty of this model lies in its respect for human agency - working with human nature instead of against it. What a concept! Rather than attempting to control people through force or manipulation (looking at you tech bros), incentives work by aligning desired behaviors with an individual's self-interest and natural motivation toward self-preservation. People still choose freely, but the choice architecture makes certain options more attractive than others.

Bonus: Incentives require creative thinking and can be quite fun to design for those who are naturally interested in human behavior and workplace dynamics.

Types of Incentives

Incentives come in various forms:

1. Financial incentives: Monetary rewards, bonuses, or penalties

2. Social incentives: Recognition, status, belonging, or disapproval

3. Moral incentives: Appealing to values, ethics, and identity

4. Intrinsic incentives: Personal satisfaction, mastery, and purpose

The most powerful behavior change strategies often combine multiple types of incentives, creating a robust system that appeals to different aspects of human motivation.

There’s also an important formula for applying incentives successfully. You need to ensure the incentives appeal to your target audience, and that they are directly associated with an action, meaning the reward/punishment is delivered at the right time.

Right Thing + Right Association + Right Time

The best way to understand what incentives will be appealing to your audience is to simply engage in casual conversation with them, listening attentively for hints and clues about what they care about the most, fear, things they want to achieve, what motivates them, etc. You’ll need to try different approaches with different audiences.

Positive and Negative Incentives

Incentives can be classified as positive or negative, either encouraging or discouraging a certain behavior.

Positive incentives reward desired behaviors, motivating people through benefits like bonuses, tax credits, or public recognition. These create a "pull" effect, drawing people toward the rewarded action. These are going to be the incentives that appeal to our personal preferences.

Negative incentives penalize unwanted behaviors through costs or punishments like fines, taxes, or social disapproval. These create a "push" effect, steering people away from certain choices. These can trigger self-preservation, deterring people from a particular behavior in favor of safer options to prevent harm to ourselves.

A current example of a negative incentive are tariffs.

Tariffs are taxes imposed on imported goods, making them more expensive for domestic consumers. They function as a negative incentive by discouraging the purchase of foreign products.

For example, when a country places a 25% tariff on imported steel, it pushes consumers toward domestic steel (even if it might be inherently more expensive) by artificially raising the cost of the foreign alternative.

While tariffs protect domestic industries in the short term, they often create unintended consequences: higher prices for consumers, reduced market competition, and potential retaliatory tariffs from trading partners - revealing how even straightforward incentives can create complex ripple effects throughout systems. We’re seeing this all happen in real-time.

Applying Incentives in Business Contexts

While every environment is different, the below examples give you a general idea of what incentives can look like. What’s important is that you tailor your incentives to your audience and not just copy/paste what other people say works for them.

Human Resources

In HR, incentives shape everything from recruitment to retention. Incentives are incredibly powerful when getting your team on board with new policies and procedures.

A few examples:

• Performance-based compensation: Rather than paying strictly for time spent, tying compensation to measurable outcomes creates a direct incentive for productivity. For example, a very common sales team incentive is the commissions + base salary compensation model.

• Referral bonuses: Offer a referral bonus as an incentive for existing employees. This incentivizes sending strong talent recommendations to the company, which supports recruiting and sourcing efforts.

• Recognition programs: Peer nomination systems where colleagues can highlight exceptional work tap into social incentives. These programs cost relatively little but create significant motivation by satisfying the human need for acknowledgment and respect.

Operations

Operational excellence depends heavily on properly aligned incentives:

• Continuous improvement bonuses: Rewarding teams for process innovations or efficiency gains creates a culture where everyone looks for optimization opportunities. For instance, a manufacturing facility might share a percentage of cost savings with workers who suggest implemented improvements.

• Quality metrics: When quality is measured and tied to team evaluations or bonuses, attention to detail naturally increases. This approach works better than punishing errors, as it creates positive reinforcement for desired behaviors.

• Cross-functional collaboration incentives: Projects that require multiple departments can benefit from shared success metrics. When different teams' rewards depend on the same outcome, territorial behaviors diminish in favor of genuine cooperation.

Privacy and Security Programs

Perhaps nowhere is the incentives model more crucial than in privacy and security:

• Simplified compliance: When security protocols are unnecessarily complex or time-consuming, employees are incentivized to find workarounds. By designing user-friendly security systems that minimize friction, compliance becomes the path of least resistance. Make it easy and accessible - the brain loves shortcuts and spending the least amount of energy getting something done.

• Recognition for reporting: Creating positive reinforcement for identifying vulnerabilities or reporting potential breaches transforms security from a purely restrictive function to a collaborative effort. Employees who spot and report phishing attempts might receive small rewards or public acknowledgment.

• Transparent incident reviews: Rather than punishing security mistakes, conducting blameless post-mortems creates an incentive for honesty and learning. When people know they won't be penalized for admitting errors, the entire organization benefits from increased knowledge sharing.

Policy Enforcement

Policies often fail when they rely solely on compliance without considering incentives:

• Practical convenience: When compliant behavior is also the most convenient option, adoption increases naturally. Digital signature systems that work more efficiently than paper processes incentivize the desired behavior without requiring enforcement.

• Social proof: Highlighting departments or teams with high compliance rates creates social incentives through positive comparison. Quarterly recognition for groups maintaining perfect adherence to safety protocols, for instance, can drive healthy competition.

• Immediate feedback: Systems that provide instant confirmation of correct actions satisfy our desire for completion and certainty. This creates a small but meaningful intrinsic reward for following procedures correctly.

The Dark Side of Incentives

While powerful, incentives require careful design to avoid unintended consequences. Consider these pitfalls:

1. Measurement distortion: When we incentivize only what we can measure, we may inadvertently discourage unmeasured but important behaviors.

2. Gaming the system: Poorly designed incentives may be technically followed while violating their spirit.

3. Crowding out intrinsic motivation: Sometimes external rewards can diminish internal drive, especially for inherently satisfying tasks.

4. Short-term bias: Incentives often favor immediate results over long-term outcomes unless specifically designed otherwise.

The solution isn't to abandon incentives but to design them thoughtfully, considering second-order effects and periodically reassessing their impact. Think long-term, because both positive and negative outcomes compound over time.

Conclusion: The Master Key

When we step back and observe most successful behavior change initiatives—whether in business, public policy, or personal development—we typically find well-designed incentives at their core. By recognizing that we cannot force people to change but can reshape the environment in which they make choices, we gain tremendous influence.

The most effective leaders understand this fundamental truth: rather than demanding compliance through authority, they architect systems where individual self-interest naturally aligns with collective goals. This approach respects human autonomy while channeling it toward productive outcomes.

As you consider your organization's challenges, ask yourself: "How can I redesign the incentives to make the desired behavior the most attractive option?" The answer to this question often unlocks behavioral changes that no amount of policy enforcement or persuasion could achieve alone. It’s that very question that governs behavioral economics and the idea of “nudging” someone toward the desired behavior or outcome. The environment will always rule when it comes to the strongest influences on our behavior, so designing it appropriately is the key to the castle here.

Remember, people will always make their own choices - with the right incentives, they'll choose exactly what you hoped they would.