At 11am on a Tuesday in Zagreb, Croatia, I looked out of the office window and saw the cafes filling up. Not packed but busy enough to notice. My first instinct was a question that said more about my own frame than about Croatia: why aren’t these people working?

They were working. Just not in a way that looked like work from where I was standing.

That moment stayed with me. Not because it was extraordinary but rather because it was the first time I noticed my own assumptions operating in real time. And assumptions, in international business, are expensive.

I started my career in Kyiv, Ukraine, in a multinational corporation. Since then, my work has taken me across the UK, Cyprus, Austria, Germany, Croatia, Serbia, Hungary, Czech Republic, Slovenia, and Bosnia and Herzegovina across industry giants and niche market players. Every geography taught me something different. The consistent lesson across all of them: culture gap is not a soft problem. It is an operational one.

We tend to frame culture as an HR conversation. It isn’t.

Every cross-border organization faces a version of the same set of problems. They appear in different forms depending on the country, the industry, and the leadership structure. But the underlying mechanisms repeat.

Here are five of them — and what they actually cost.

1. The leadership style that works at home fails abroad

Most Western-headquartered organizations export their leadership model alongside their business model. Flat structures. Open doors.

“We want your input.”

The assumption is that good leadership looks the same everywhere.

It doesn’t.

Geert Hofstede’s concept of power distance — how comfortable people are with unequal distribution of authority — is one of the most practically useful lenses in international management. In high power distance cultures, hierarchy is not a bureaucratic inconvenience. It is the operating system. Directive decisions, clear chain of command, visible status markers — these are not signs of a dysfunctional organization. They are signals that the organization works as expected.

In low power distance cultures, the opposite is true. Equal dialogue, participative decision-making, a leader who asks questions rather than gives answers — this is what competent leadership looks like.

A recent study by Jung-Soo Yi (2026) of 2,000 organizational members in Mexico, France, the UK, and New Zealand confirmed that these differences persist, though less sharply than older cultural models predicted. The gap is real. It has just become more nuanced.

What this means in practice: when a headquarters built on low power distance sends a participative leadership model into a high power distance context, the invitation to contribute is not received as empowerment. It is received as ambiguity. People who have been trained their entire careers to wait for direction will wait for direction: quietly, politely… and without ever telling you that is what they are doing.

What comes back up the hierarchy looks like alignment. It is compliance. And the difference between the two only becomes visible when something goes wrong.

2. Shared language, different mental models

Stereotypes and ethnocentrism are the obvious culprits. The less obvious one is the assumption that shared language means shared meaning. It doesn’t.

When I was brought in to support the General Data Protection Regulation (GDPR) implementation at a Chinese bank in Austria, the technical requirements were clear. The regulatory framework was documented. What was less clear was how to transfer not just the knowledge but the reasoning behind it — to a team of Chinese expats for whom data collection had operated under entirely different assumptions for their entire careers.

In practice, data protection meant something closer to data availability: shared freely within the organization as a sign of trust rather than restricted as a matter of compliance.

My challenge was not to implement GDPR. It was to bridge the distance between what the European regulator expected and what the team understood as normal practice. That gap was not a compliance gap. It was a conceptual one. And closing it required something that doesn’t appear in any project plan: time spent building a shared frame of reference before any technical work could land.

The cost of skipping that step shows up later. In rework. In regulatory exposure. In decisions made on assumptions nobody checked.

3. Different frameworks for reading the same situation

Two leadership teams can look at identical numbers and reach different conclusions — not because one is more capable but because they are running the information through different value systems.

What counts as an acceptable risk?

What level of ambiguity is tolerable before a decision needs to be escalated?

When does a problem become serious enough to name out loud?

These thresholds are not universal. They are culturally calibrated.

In practice, this means that the gap between what is happening and what leadership believes is happening tends to be wider in international organizations than in domestic ones.

The information travels across a cultural translation layer before it reaches the table. And something is lost in that translation every time.

4. Same incentive, different behavior

I have seen the same bonus structure produce completely different results in two offices of the same company — one in Western Europe, one in the emerging markets (EMEA).

The structure was identical. The math was identical. The behavior it generated was not.

In the Western European office, the performance-linked bonus drove exactly what it was designed to drive: initiative, risk-taking, independent decision-making. In the other office, the same structure produced something closer to anxiety management. People optimized for not losing the bonus rather than for earning more of it. The ceiling behavior looked similar on a spreadsheet. The ceiling was lower.

This is not about ambition. It is about what feels safe to risk when the baseline is less certain.

Maslow’s hierarchy isn’t a perfect model. But the underlying observation holds: people whose primary concerns are stability and material security make different decisions than people whose primary concerns are growth and recognition — even when you put the same incentive in front of both groups.

The financial consequence is straightforward. You invest in a motivation structure and it underperforms. Not because the design was wrong in principle. Because it was right for a different context.

5. The translation work nobody accounts for

Inside every international team, there are people who navigate cultural complexity almost instinctively. They read the room across contexts. They adjust without being asked. They catch the moment when something got lost in translation and quietly fix it before it becomes a problem.

These people are invaluable. They are also absorbing a disproportionate share of invisible work that never appears in any job description.

The uneven distribution of cross-cultural competence within a team is one of the most consistently underestimated operational risks in international organizations.

It is not correlated with seniority. It’s not correlated with technical skill.

A highly capable professional who has spent their entire career in one cultural context may simply lack the instinct to read signals that come from a different frame. Not because they are less capable. Because that instinct is built through exposure and the exposure wasn’t part of their history.

What this produces in practice is a hidden load. The people who can bridge the gap carry it for the ones who cannot. Over time, this creates two problems:

• The capable bridge-builders burn out or move on.

• And the people who never developed the competence never realize they needed to, because someone else was always compensating.

Neither dynamic shows up in a performance review. Both affect how the team actually functions.

The fix is not a cross-cultural training day. It is designing the team with this variable in mind from the start, the same way you would design around any other capability gap.

What this means for business

None of these five points belongs exclusively to HR. They shape how information travels, how quickly decisions are made, what risks people notice, and which opportunities they ignore. In other words, they shape how the business performs.

The organizations that navigate international growth successfully don’t assume culture will eventually sort itself out. They treat it as an operational variable — one that can be observed, diagnosed, and designed around, just like any other constraint affecting execution.

Culture rarely appears as a line item in the budget. Yet its effects show up everywhere else: in slower execution, costly misunderstandings, delayed decisions, unnecessary turnover, and opportunities that never materialize.

The organizations that know how to manage it correctly are one step ahead. They build systems that perform consistently across borders.

Yours truly,

Irina

I want to open a Pandora’s box and invite you to look at organizations through the lens of cults.

Today, the word cult immediately brings to mind isolated communities, charismatic leaders and extreme beliefs. But cults are, first and foremost, systems of human behavior. Their psychological mechanisms are not confined to remote compounds or fringe movements. They can emerge anywhere people seek belonging, certainty, and identity — from weekend neighborhood communities to high-performing organizations.

This article is not arguing that organizations are cults. It asks a different question: what if some of the same behavioral mechanisms operate in both?

People are rarely recruited through logic. They are recruited through identity.

If we strip away ideology and look only at human behavior, the progression often follows five stages:

Safety. Identity. Meaning. Commitment. Lock-in.

Stage 1. Safety

People don’t buy into an idea first. They buy into a feeling.

Before any rational evaluation happens, the nervous system makes a decision. Is this environment safe? The moment it answers yes, the defenses lower. Cult recruitment researchers call the first interaction a “regulating event”, not a persuasive one. The goal is not to convince. The goal is to calm.

Companies do this constantly, often without realizing it.

“People first.”

“We’re family here.”

“You can be yourself.”

A warm hiring process. An onboarding experience that feels nothing like work. A team that seems to genuinely see you.

None of this is manipulative by design. Most of it is simply good culture. But the mechanism is the same: before people evaluate the organization, they experience it. And experience bypasses logic.

Once we feel safe, we become willing to belong.

Stage 2. Identity

Once safety is established, something subtler happens.

The person is no longer just an employee. They become a certain type of person.

“We think differently here.”

“This isn’t for everyone.”

“Only people with real ownership mentality thrive.”

“High agency. Founder mindset. Missionary, not mercenary.”

Each phrase does the same thing: it reframes membership as identity. And identity is a far more durable bond than any compensation package.

Cult research describes this as “weaponized identity” — the recruiter identifies you as a specific type of person who is different from most people. The group becomes exclusive not through argument but through self-selection. The question shifts from “do I want to be part of this?” to “what does it say about me if I walk away?”

Organizations don’t need to be intentional about this. The language does the work on its own. Belonging turns into identity.

And once identity is established, the organization can begin shaping meaning.

Stage 3. Meaning

At some point, the organization stops being a place where you work. It starts being a framework through which you interpret the world.

The mechanism is language.

Every strong culture develops its own vocabulary. Internal terms, specific phrases, ways of naming things that outsiders do not immediately understand. This is not inherently problematic — shared language is how any group coordinates efficiently.

But language does something else too. It begins to define what is real and what is not. What counts as good thinking and what does not. What alignment looks like and what its absence signals.

“We’re not aligned.”

“That’s low ownership.”

“That’s not how we think here.”

“Not customer-centred.”

When disagreement starts to feel like misunderstanding rather than a legitimate alternative view, the language has crossed a line. It is no longer describing the culture. It is creating it.

Language doesn’t simply reflect how people think. It shapes what they are able to think.

Consider how phrases like culture fit, high agency or customer obsession gradually become more than useful shorthand. They start acting as filters through which people judge ideas — and one another.

Once people see the world through the same lens, acting consistently with that worldview becomes almost automatic.

Stage 4. Commitment

Here is where the mechanism becomes self-sustaining.

The person begins to actively maintain the system — not because they are asked to, but because they believe in it. They post about the company. They recruit friends. They explain the culture to new hires. They defend decisions they were not part of making.

Why this matters: explaining an idea to someone else strengthens your own belief in it. The act of persuading makes you more persuaded. Your mouth convinces your brain more efficiently than evidence does.

It’s a feature of how human cognition works. Every public commitment deepens the private belief. The organization doesn’t need to reinforce the loyalty. The person does it themselves.

LinkedIn has become a fascinating laboratory for this phenomenon. Employees publicly celebrate promotions, defend company decisions, share internal values and repeat cultural narratives. Most of it is genuine. But every public expression also reinforces a private identity.

Public commitment makes the final stage possible: psychological lock-in.

Stage 5. Lock-in

The final stage is the most misunderstood.

People assume lock-in is financial. High compensation. Stock options. Unvested equity. The golden handcuffs.

Those matter. But they are not the deepest lock.

The deepest lock is identity. Specifically: what leaving would mean about who you are.

If the organization has become part of how a person defines themselves, then leaving is not a career decision. It raises questions that are much harder to answer.

Who am I without this?

If I was wrong about this, what else was I wrong about?

How much of the last few years was built on a mistake?

Cult research calls this sunk social cost. It is not the time or money invested. It is the pride and consistency that would have to be surrendered. Walking away means admitting, at least privately, that you held onto something long enough for it to cost you something real.

This is why people stay in companies they have outgrown. Not because they cannot leave. Because leaving has become an identity question, not a practical one.

What this leaves open

Not all strong cultures are harmful. Not all of these mechanisms are manipulative. Without some version of them, it is genuinely difficult to build an organization people care about.

Organizations use many of the same psychological dynamics — often for good reasons, often unintentionally. The question is not whether they exist. The question is whether they strengthen people’s agency or capture their identity.

Yours truly,

Irina

A team is losing. There are only a few minutes left.

The coach makes what seems like the obvious move: bring on another striker, take off a defender. The logic is flawless. More attackers, better chance of an equalizer.

But something else happens at exactly the same moment.

The space behind the team opens up. The players who would normally protect it are gone. If possession is lost, there’s no one left to stop the counterattack.

Modern football has a name for avoiding exactly this problem: rest defence. The idea is remarkably simple. Even while attacking, the team keeps enough structure behind the ball to stay in control if possession is lost. The best teams don’t commit everyone forward. They attack without sacrificing the system that allows them to recover.

Teams rarely lose because they didn’t attack enough. They lose because at some point they stopped thinking about the whole system and started optimizing only one part of it.

Now replace the coach with a leadership team, and the pitch with an organization.

The problem isn’t bad decisions. It’s incomplete thinking.

In behavioral economics, this is called narrow framing — evaluating a decision by its immediate local benefit while overlooking its impact on the broader system.

The dangerous part is that these decisions almost never look wrong when they’re made. Quite the opposite. They usually look perfectly rational.

A company cuts customer support costs. Operating expenses go down. Six months later, response times have increased, satisfaction has fallen, and clients have quietly started leaving.

The sales organization expands and raises its targets. Revenue opportunities grow. Operations can’t keep up, delivery performance slips, and suddenly the business is solving a completely different problem.

An approval layer is removed to speed up decision-making. Decisions become faster. Mistakes become much more expensive because no one is left to challenge them before they happen.

In every example, one metric improves. The system becomes weaker.

That’s what makes narrow framing so difficult to detect. The feedback is delayed. The trade-off is hidden. Success appears first. The consequences arrive later.

3 signals you’re optimizing only part of the system

Over the years, I’ve noticed three signals that appear again and again.

1. Success is measured by exactly one metric.

Whenever a decision is evaluated only by the metric it was designed to improve, that’s usually the first signal I pay attention to. Lower costs. Higher sales. Faster approvals. Those numbers matter. But every meaningful decision creates second-order effects somewhere else. If nobody is looking for them, the organization is making an implicit choice about what it’s willing not to see.

2. The consequences appear somewhere else.

This is the most reliable signal. Sales celebrates. Operations struggles. Product ships. Customer Success absorbs the complaints. Finance optimizes cash flow. Procurement delays critical work. The decision and its consequences end up living in different departments. By then, connecting the dots becomes surprisingly difficult.

3. Every post-mortem focuses on execution.

When projects disappoint, most conversations turn immediately to execution. Could we have delivered faster? Communicated better? Much less often does anyone return to the original decision itself. What assumptions did we make? What alternatives did we reject? What risks did we knowingly accept? Companies that only review execution eventually stop improving the quality of their decisions. And that’s where execution problems quietly become decision-making problems.

What changes when you see the whole system

The companies I most enjoy working with aren’t necessarily the ones that make fewer mistakes. They’re the ones that recognize system effects earlier. They understand that every important decision changes something beyond the metric it was designed to improve.

That’s why rather than asking whether a decision was right or wrong, I’d ask a different question: what did this decision change in the rest of the system?

Because the most dangerous decisions aren’t the obviously bad ones. Those are relatively easy to stop. The real risk comes from decisions that look entirely reasonable in isolation but quietly undermine the system they were meant to improve.

Rest defence isn’t about attacking less. It’s about never losing sight of the structure that makes your attack sustainable.

Yours truly,

Irina

Most CEOs think they’ve delegated because they’ve handed over authority. I look for something else: whether decisions are actually made without checking back first.

Formal authority can change overnight, while trust tends to accumulate slowly.

Over the years, I’ve noticed that every organization has two org charts. One shows where authority sits. The other shows where people believe permission is still required.

The gap between those two maps tells me far more about how an organization actually works than the org chart itself.

The difference

Organizational behavior research draws a useful distinction between formal delegation of authority and the trust that determines whether people actually use it. We use these concepts interchangeably in business conversations. They describe two very different things.

Delegated authority is formal. It lives in roles, responsibilities, governance models and decision matrices. It defines who is allowed to make a decision and who is accountable for its outcome.

Delegated trust is different. It isn’t documented in a policy. It’s reflected in behavior. It answers a more practical question: do people actually feel trusted enough to make the decision?

The pattern that repeats

Over the years, working across corporate environments in multiple countries, I’ve noticed the same pattern.

Organizations announce that decisions have been delegated. The decision matrix says so. The role description says so. The CEO says so.

Yet people continue asking for approvals. Not because they don’t know the answer. Because they’re not convinced they’ll be supported if something goes wrong.

That’s the gap. Authority has been delegated. Trust hasn’t.

And once you start looking for it, you see it everywhere.

A product manager who technically owns product decisions but still asks the executive team before making some tweaks before the release. A department head who has budget authority but hesitates to spend a thousand more without a conversation with the CEO. A manager who can hire according to policy but still waits for a quick confirmation.

On paper, decentralized decision-making. In practice, decisions continue flowing upward.

Research in organizational behavior consistently supports this distinction. Formal authority clarifies responsibilities and accountability. Trust determines whether people exercise that authority with confidence. Organizations with higher levels of trust delegate more effectively. Low-trust environments compensate with additional controls, approvals, and bureaucracy.

Three consequences

Authority changes structure. Trust changes behavior.

Updating an org chart is relatively easy. Changing how people behave around uncertainty is considerably harder. If every important decision still returns to the same executive office, decentralization exists only on paper.

Low trust quietly creates bureaucracy.

Most organizations don’t intentionally design slow decision-making. It emerges. One approval becomes two. A quick alignment meeting becomes a recurring checkpoint. People start copying additional stakeholders just in case. Eventually nobody remembers why these control points exist. They simply become part of how work gets done.

I’ve learned to see every unnecessary approval as data. It usually signals one of two things: either responsibilities were never clearly designed, or trust never fully developed. The solution depends on knowing which problem you’re actually solving.

Trust can change motivation.

Employees who feel trusted often show greater initiative, stronger learning behaviors and higher engagement. Giving someone responsibility without trust produces compliance rather than ownership. People do exactly what’s expected. Rarely more.

Organizations don’t become adaptive through policies. They become adaptive through thousands of small decisions that people feel confident making without waiting for permission.

Where to start

I start with architecture.

Who owns which decisions? Where are decision rights clearly documented? Which responsibilities are linked to measurable outcomes?

Once those answers are visible, I look for something less obvious. How often are those decisions actually made independently? Where do they routinely travel back up the hierarchy? Which approvals exist because they genuinely reduce risk, and which exist simply because nobody fully trusts the system?

Those two maps rarely match. And that’s where the real work begins.

Sometimes the architecture needs redesign. Decision rights are unclear. Accountability overlaps. Processes encourage escalation. Other times the structure is perfectly adequate. The missing ingredient is trust.

What changes when the gap closes

Speed is the obvious shift. But not the most important one.

When delegated trust is real, the organization develops something more durable: the capacity to make good decisions without the leader in the room. That capacity doesn’t appear overnight. It is built through a sequence of small moments where authority was used, the outcome was respected, and the learning loop closed without a correction from above.

Each of those moments is an investment. The return isn’t simply faster execution. It’s an organization that no longer depends on one person’s availability to keep moving forward.

That’s the point where delegation stops being a management technique and becomes an organizational capability.

Yours truly,

Irina

A decade in corporate environments across 12 countries and years of entrepreneurship taught me one thing: numbers are never the full story. Human behaviour and decision-making patterns profoundly influence business success, directly impacting profitability and performance. That’s what I write about: how these factors shape success (and failure) in business and life. Get to know me↗

Every company has a mission statement. Most of them say roughly the same thing: customer-centric, innovative, committed to excellence. None of that is false. It is also not solely what built the company.

I will show you another perspective, one layer deeper: the architecture beneath the mission statement is where the real choices actually live.

There is a different story behind it, one that was never written down, never approved by a board and never appears on the website. Call it the guiding principle. It is not what the company says it does. It is what the company was actually built to do. And it shows up in the pattern of decisions, not necessarily in the mission statement.

A company built on a feeling

I know a retail business that started in the early stages of a market opening up. When this company began, buying anything meant standing at a counter, asking an indifferent clerk for a specific item by name and hoping it was in stock somewhere behind them. The experience was transactional in the coldest sense. The customer was an interruption.

The founder remembered that feeling. The guiding principle that built the company was never written as a slogan. It was closer to a private vow: never make a customer feel like an inconvenience again.

For years, that principle worked beautifully: customer loyalty, repeat purchases, you name it. Everything on the shelf, visible, touchable. A staff trained to smile and engage rather than guard the inventory. The company grew steadily, customers were loyal, and the guiding principle that eventually got printed on the wall, “putting the customer first,” described something real.

But a guiding principle can constrain growth strategy. Built to make customers feel welcome, the company was never built to scale aggressively or take risks. Every instinct in the organization pulled toward stability over expansion, toward the comfort of the familiar format over experimentation with anything new. Online sales, subscription models, anything that removed the physical, personal moment of being welcomed onto a shop floor felt, on some unspoken level, like a betrayal of what the company was for.

Decades later, leadership wonders why the company has stayed mid-sized while competitors with worse products scaled past it. The mission statement never changed. Neither did the guiding principle. That was never going to change either, no matter how many strategy decks recommended otherwise. That said, guiding principles can shift when leadership, incentives, or ownership change, so the pattern isn’t absolutely immutable.

When the principle turns destructive

Not every guiding principle is built on a generous impulse. Some are built to prove something, and those tend to be the most aggressive ones to watch.

Call it, for illustration, “Prove and Overtake.”

A company created not to serve a need but to demonstrate something — to a former employer, a competitor, or simply to oneself.

OR

Founder revenge. Status signaling. The VC-driven “grow at all costs” mandate. These produce fierce focus. They also short-circuit something more important: the ability to define success on independent terms.

The closest real-world echo is the legendary “Yamaha wo tsubusu” battle cry, allegedly declared during Honda’s war with Yamaha in the 1980s: “We will crush Yamaha.”

A guiding principle built around defeating someone is structurally different from one built around serving someone. It produces real intensity, and a real ceiling. The company cannot define victory independently. Its strategy and KPIs remain tied to the competitor, so once the competitor is overtaken, the company lacks a next chapter. If it ever does catch up, the principle that built it has no further instructions left to give.

3 questions to find your organization’s actual guiding principle

1. What decision has leadership consistently refused to make, regardless of the business case? Every organization has at least one option that gets raised periodically and rejected every time, often without a fully articulated reason. That refusal is data. Look for repeated vetoes or patterns of ignoring proposals. It points directly at the principle the mission statement doesn’t mention.

2. Would the company’s current behavior make sense if you removed founders’ origin story? Take any unusual operating norm that nobody questions anymore — an unwillingness to take on debt, an obsession with keeping the team small, a refusal to ever lay anyone off even in a downturn. Ask why that norm exists. If the honest answer traces back to one specific moment or one specific person’s history rather than a business rationale, that is the guiding principle speaking.

3. What does the organization protect even at the cost of growth? A guiding principle reveals itself most clearly in what a company is willing to sacrifice speed, scale, or revenue to preserve. That sacrifice is rarely strategic; usually structural.

What this means now that the infrastructure is changing

AI does not rewrite a guiding principle. AI will tend to amplify the organization’s existing orientation. Put another way: AI won’t change what you care about; it simply makes whatever you care about move faster.

An organization whose unspoken purpose was control will use AI to tighten control further, monitor more closely, and reduce the unpredictability of human judgment. An organization whose unspoken purpose was growth at any cost will use the same technology to scale faster, with less regard for what gets lost in the acceleration. The tool is neutral. The hand that picks it up is not.

This is worth sitting with before any (AI) strategy gets written. The infrastructure is changing quickly. The guiding principle of the organization almost certainly is not. Knowing the actual guiding principle before deploying powerful tools decides whether acceleration is intentional or accidental.

Yours truly,
Irina

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A few days back, I posted a short note, and it landed more than I expected:

The calendar is full. The output is visible.

The team needs decisions. Nothing about the day looks like avoidance.

The reason action-oriented procrastination works so well on high performers is that the alibi is real.

Meanwhile, the question that keeps returning is the only thing that never makes it into the metrics. Which is exactly why it keeps returning.

Which made me think about what happens when that pattern runs not just with one person but inside an organization.

Because when a leader carries an unasked question, it does not stay with them. It travels.

What the organization learns

Behavioral economists O’Donoghue and Rabin described this already in 1999: present bias makes us systematically overweight what is happening now and discount everything else, including the questions we know matter.

The immediate task is concrete. The deferred question is abstract.

The choice is not conscious. It is structural.

At the individual level, this is uncomfortable. At the organizational level, it is consequential.

A leadership team is a remarkably accurate reading instrument. Not of what the leader says but of what the leader consistently doesn’t say.

When a CEO systematically routes around a particular topic — the underperforming partnership, the structural cost that has been “temporary” for eighteen months, the team dynamic that everyone in the room already knows about — the organization doesn’t miss it. First, it registers it, and then it adapts.

People stop bringing things that belong to that category. Not because they were told to. Because they learned, through repetition, that those things don’t move:

The meeting ends → The topic gets tabled → The follow-up never comes → After the third time, the pattern is clear enough.

In my experience, both in-house and as a consultant, employees have withheld important information from their manager because they feared the consequences of speaking up. The fear is rarely about formal punishment. It is about reading, accurately, what the leader is and is not prepared to engage with.

The unasked question doesn’t disappear. It becomes the organizing principle around which everything else quietly arranges itself.

Why this is harder to see than it sounds

Action-oriented procrastination works precisely because the alibi is real. The calendar is genuinely full. The priorities are genuinely urgent. There is no obvious moment of avoidance — only a sustained pattern of it.

At the organizational level, the same mechanism runs with additional cover: the metrics look fine, the team is executing, the board deck shows progress on the things that were tracked. The question that was never asked is, by definition, not in any report.

This is where the cost accumulates invisibly. Not in the numbers that are tracked — in the gap between those numbers and what is actually generating them.

Most organizations measure outputs well. They measure the behavioral layer that produces those outputs almost not at all. The unasked question lives in that layer. It is rarely about strategy or people. It is about what is producing the pattern that neither one explains. And it compounds there, until the gap between reported performance and actual performance becomes impossible to explain away.

4 signals that your organization has a question nobody is asking

Signal 1. The same topic gets “tabled for next time” across more than two consecutive meetings. Once is scheduling. Twice is coincidence. Three times is a decision, even if no one named it as one. Scan your last six meeting notes for repeated follow-ups without resolution. The pattern is usually visible before the problem surfaces.

Signal 2. Your team prepares differently for certain topics than for others. When a subject consistently arrives with unusually thorough documentation, pre-aligned positions, and minimal spontaneous discussion — that preparation is protective. People have learned this topic requires armor. The question worth asking: what are they protecting against?

Signal 3. The explanation for a recurring problem changes, but the problem doesn’t. Different quarter, different reason, same outcome. When the explanation is always new and the result is always familiar, the explanation is functioning as cover. The pattern underneath it has not been addressed because the question that would surface it has not been asked.

Signal 4. You know what the question is. This is the most reliable signal. There is usually not much mystery about which question has been waiting. The CEO who has been meaning to revisit the partnership structure knows. The one who has been meaning to have a direct conversation with a specific leader knows. Knowing and asking are two separate events. The distance between them is where the cost lives.

What changes when the question gets asked

Not always what you expect. Sometimes the answer is less alarming than the avoidance suggested. Sometimes the structural problem turns out to be smaller than the silence around it.

When leaders model direct attention to difficult topics, the category of things the team is willing to surface expands. People start bringing things earlier: before they become the kind of problem that requires a perfectly prepared explanation.

The question that keeps returning does so for a reason. It is not going away because the calendar is full. It goes away when it gets answered.

Every month it doesn’t is a decision. Like any decision, it has a cost. Unlike most decisions, this one rarely shows up in the metrics.

Until it does.

Yours truly,

Irina

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The direction had already been chosen. The data was brought in to confirm it. The question they were asking was not ‘should we’; it was ‘help us prove we should.’

I have seen this pattern more times than I can count. The data does not drive the decision. It accompanies it. The question gets asked after the answer is already chosen.

Here are five traps that reliably appear in organizations that consider themselves data-driven.

Trap 1. The data confirms what you already decided.

The most documented and least acted-upon finding in decision-making research: people who believe they are objective consumers of information are often the most selective ones. Analysis gets commissioned after the direction is set. Metrics that support the plan get weighted. The ones that don’t get treated as outliers or noise.

It is not deliberate. The mind moves toward coherence. A decision already made feels like a conclusion already reached — and conclusions do not require reopening.

→ The signal: look at your last three major decisions. How many alternatives were seriously analyzed before the direction was chosen? If the answer is consistently one, the data was not driving.

Trap 2. Your data is only as honest as the culture that produced it.

Your data is only as honest as the culture that produced it.

Data does not arrive neutral. It passes through the people responsible for it before it reaches the executive table. And people learn quickly what kind of information their leader responds well to.

If the response to a missed number is blame, the next missed number will arrive with a better explanation. Not a better result. If uncomfortable signals consistently get softened before they travel upward, the dashboard will eventually show a version of reality that is coherent, presentable, and increasingly disconnected from what is actually happening one floor below.

The most dangerous version of this is not malicious reporting. It is something more ordinary: a culture where everyone has agreed on what not to say out loud.

→ The signal: when did you last receive genuinely bad news without a ready explanation already attached to it? And when did you last have an unstructured conversation with someone two or three levels below you — no agenda, no prepared update?

Trap 3. You are measuring what is easy to measure.

Most executive dashboards are built around lag indicators: revenue, margin, EBITDA, headcount cost. These are accurate. They are also descriptions of what already happened.

They tell you where the business has been. They are less useful for understanding where value is currently leaving.

Every metric your team chose to track — and every one they did not — reflects a prior assumption about where performance comes from. Those assumptions are rarely examined. They were built into the reporting structure years ago, and the structure has outlasted the assumptions that justified it.

→ The signal: can you name three leading indicators — signals that move before your financial results do — that your team reviews regularly? If the list is hard to produce, your organization is navigating by looking at the road behind it.

Trap 4. Your incentive structure is producing the data it was designed to produce.

When a significant share of variable compensation depends on short-term revenue targets, the data those managers generate will trend toward optimism. Not because they are dishonest. But because the system rewards the appearance of performance before it rewards performance itself.

Forecasts get rounded up slightly, pipeline gets inflated slightly, and revenue recognition stretches to the defensible edge. Each adjustment is marginal. Collectively, they create a gap between what the business reports and what it generates.

That gap eventually closes. On the balance sheet, not the dashboard.

→ The signal: look at your last four quarterly forecasts alongside actual results. If the pattern shows consistent overestimation followed by consistent post-hoc explanations, you are not reading business performance. You are reading incentive behavior.

Trap 5. Let the AI do the magic.

AI does not fix the data. It scales whatever was already wrong with it.

Artificial intelligence is increasingly present in how organizations analyze performance, forecast results, and surface recommendations. The promise is real: faster pattern recognition, less manual analysis, decisions at scale.

The trap is equally real. AI works with what it is given. If the data feeding the model is incomplete, selectively reported, or shaped by the incentive structures of the people who produced it, the output will be confident, precise, and built on the same gaps that existed before the algorithm arrived. The model has no way of knowing what was left out. It does not ask uncomfortable questions. It optimizes for the inputs it has.

The leaders most likely to over-rely on AI-generated recommendations are often the same ones who have stopped asking uncomfortable questions of the humans running them. The tool becomes a substitute for the conversation. The conversation is where the real signal lives.

→ The signal: in your organization, is AI currently accelerating good analysis — or is it accelerating the existing blind spots faster than before?

What changes when you see this

The shift does not require a new reporting system. It requires one question added to every data review:

• not “what do the numbers show” but

• “what would have to be true for these numbers to be wrong.”

Organizations that build that question into regular practice catch the gap between reported performance and actual performance earlier. Usually, before it becomes the story that explains the quarter.

The data is not an issue. The frame around the data is.

Yours truly,

Irina

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The P&L shows the distance traveled. It does not always show who was driving.

This post is about the gap between those two things.

I am a Certified Fraud Examiner. I have spent years sitting across from people who could not figure out why their numbers felt wrong. Smart people. Often very successful people. People who had built real companies and knew their industry cold. They understood their business. They just did not know what to look for when someone inside that business was quietly redirecting value elsewhere.

The data I am drawing from here comes from the Occupational Fraud 2026: A Report to the Nations, published by the Association of Certified Fraud Examiners. This is not a think piece based on theories. It is based on 2,402 documented fraud cases investigated by CFEs between January 2024 and September 2025 across 143 countries. Real organizations with real losses. And executives who signed off on financials that looked fine until they didn’t.

The most common story nobody tells at the boardroom table

The fraud type most leaders never worry about is the one that shows up in 90% of cases.

Asset misappropriation: an employee steals or misuses the organization’s resources. It is the least dramatic category. No elaborate accounting schemes, no falsified financial statements. Someone takes something. Equipment goes missing. Expenses get reimbursed that were never incurred. Vendor payments flow to entities that exist only on paper.

The median loss from asset misappropriation schemes sits at USD 100,000. Not catastrophic for a large company. Potentially existential for a small one.

Corruption follows at 45% of cases, with a median loss of USD 150,000. This one tends to live in procurement decisions, vendor selection, and contract awards. The person making the choice has a reason to make it that has nothing to do with the organization’s interests. The reason is usually financial and usually invisible to everyone above them.

Financial statement fraud is the rarest, appearing in only 6% of cases. It is also the most expensive, with a median loss of USD 1,000,000. This is the category that collapses companies and ends careers. It is rare precisely because it requires deliberate, sustained, coordinated effort. Most organizations never get there. They stop earlier, at the level of asset misappropriation, and never realize it.

Size does not protect you the way people think it does

The comfortable assumption that fraud scales with organizational size is exactly that: comfortable. The data from 2,402 cases across 143 countries does not support it.

The median fraud loss at organizations with fewer than 100 employees is USD 126,000. At organizations with 10,000 or more employees, it is USD 123,000.

Those numbers are nearly identical. What is not identical is what USD 123,000 means to each of them.

For the small company, that loss touches payroll, supplier relationships, credit lines. For the large one, it disappears into rounding. The exposure is the same. The consequences are not.

[Access 8 financial metrics that 90% of leaders overlook when assessing their earnings]

The pattern worth noting: occupational fraud risk across organization sizes is far more uniform than most leaders expect. The idea that fraud is someone else’s problem, specifically the problem of organizations larger or more exposed than yours, is a very comfortable idea with very little basis in the evidence.

Industry context matters, and not always in the direction you would expect

The industries with the highest median losses are often not the ones that make headlines.

Mining, Wholesale Trade, and Real Estate carry the highest median losses, at USD 300,000, USD 256,000, and USD 250,000 respectively. None of them are industries people typically associate with sophisticated financial fraud.

Banking and Financial Services sits at USD 100,000 across 439 documented cases, which is the highest case volume in the dataset. The controls are there, so is the volume.

The industry-specific fraud exposure picture is worth understanding for one practical reason: sector norms shape what behaviors get normalized and what red flags get ignored because they look like standard practice.

The language your financials actually speak

Most financial statements are read as a performance record. They are also a behavioral one, and that second reading tends to be more revealing.

• A healthy business shows Net Cash Flow and Net Profit moving in the same direction. When those two lines start diverging without a clear operational explanation, something is worth examining.

• Production costs growing faster than output is worth a question.

• ROI systematically landing below project forecasts is worth a question.

The organizations that catch problems early tend to be the ones where leaders ask questions before the pattern becomes undeniable.

What incentive structures actually produce

This is where the behavioral layer becomes important.

When more than 70% of a manager’s compensation depends on short-term revenue targets, incentive misalignment in financial reporting becomes almost inevitable. The system stops rewarding performance and starts rewarding the appearance of performance.

People do not typically decide one morning to act dishonestly. The shift is gradual and almost invisible from the inside. Forecasts get rounded up a little. Pipeline gets inflated a little. Revenue recognition stretches to the edge of what is defensible, then slightly past it. Each step feels marginal. Collectively, they create a meaningful gap between what the business reports and what it actually generates.

The consequence is predictable. Artificially inflated performance eventually meets reality. When it does, the losses show up directly on the balance sheet. What started as a bonus calculation becomes a liability. And often, by the time it becomes visible, the person who created it has moved on.

The system is rewarding the wrong behavior, and the numbers are showing the cost.

What most leaders actually look at, and what they miss

The standard set of financial metrics that executives review regularly: revenue, EBITDA, gross margin, headcount costs. These are lag indicators. They show what already happened. They are useful for understanding where the business has been. They are less useful for understanding where value is currently leaving.

The metrics that tend to catch problems earlier are the ones that track relationships between numbers rather than the numbers themselves.

They require a different set of questions being asked of the same data that already exists.

A note how the leak is discovered

In the 2026 ACFE data, tips remain the most common detection method. Not audits or automated controls. But someone inside the organization noticed something and told someone.

This means that the single most effective fraud prevention tool most organizations have is also the most underinvested: a culture where people feel safe naming what they see.

Controls matter. Audits matter. The technical apparatus of financial oversight matters significantly. And none of it performs as well as a workforce that believes something will actually happen if they report a concern.

Organizations that combine strong controls with a genuine reporting culture tend to catch problems earlier, at lower loss amounts, and with more recoverable situations than organizations that rely on controls alone.

What changes when leaders read financials differently

The leaders who catch financial problems early share a specific habit. They treat the numbers as a behavioral record, not just a performance record. Revenue is a decision, so is cost.

Every line on a P&L represents a series of choices made by people with specific incentives, specific pressures, and specific access to the organization’s resources.

Reading the financials through that lens does not require suspicion. It requires curiosity. The difference between a business that identifies a USD 100,000 problem in month three and one that discovers a USD 1,000,000 problem in year two is often not the presence or absence of controls. It is the habit of asking what a number actually represents before accepting it as a clean data point.

The data from 2,402 real cases across 143 countries is consistent on this: organizations that lose the most tend to be the ones where the gap between reported performance and actual performance grew slowly, over time, in plain sight of the financials.

The numbers are there. You need to read them as a question.

Yours truly,

Irina

The toolkit Profitable (not only) on Paper: How Business Leaders Find Hidden Losses, Spot Financial Red Flags and Protect Their Profit covers the methodology for reading financial statements from a loss-prevention perspective, the control structures that protect margins, and a framework for identifying the behavioral signals that precede most financial losses. If the patterns described in this post feel familiar, the toolkit is a practical place to start.

The Symphony of Isolation

Imagine an orchestra where the brass section decided they were the entire show. They perform their music with impeccable skill but completely disregard the strings. The woodwinds are stuck in their own rhythm, and the percussion is there for ultimate maximum volume.

This scenario mirrors the essence of siloed thinking in businesses and organizations. It’s like an orchestra out of sync — every musician plays their part beautifully, but together it turns into a cacophony.

The common mistake is to assume this issue stems from a conductor problem. But even with someone leading, silos persist if the sections don’t share a common language. Conductors aren’t just figures waving a baton; they symbolize systems thinking, cross-functional leadership, and a shared understanding. Siloed thinking emerges when musicians focus solely on their own performance rather than on the harmony of the whole orchestra.

The Real Anatomy of Siloed Thinking

In the corporate landscape, this dysfunction often looks routine. Departments operate like independent nations within the same borders, serving their own strategic needs. Recognizing this behavior can help leaders approach systemic change with more empathy.

Sales promises features that don’t exist, while Product develops something entirely different. Operations is left to pick up the pieces too late, and Finance is tracking the damage long after it’s done. On paper, every department appears to be performing well, but the reality is that the system is failing.

This often occurs because managers begin to defend the significance of their role over the business itself. Silos become tools for building empires: strategically created to maintain control, influence, and a sense of unreplaceability. In this mindset, sharing information can feel like losing power.

At the top, leaders often distrust whether other departments share the same stakes. Company mission statements collect dust in old PowerPoint presentations, while daily decisions are driven solely by departmental survival instincts.

The Cost of the Seagull Effect

My experiences in large organizations shaped my understanding of corporate communication in a profound way. I witnessed firsthand the detrimental effects of what is known as “Seagull Management.” This term describes an executive who swoops in, makes a lot of noise, and leaves a trail of chaos without taking any responsibility. This communication style can be incredibly damaging, as it often leaves the teams scrambling to sort out the confusion while the executive simply ticks a box for “visibility.”

When Seagull Management coexists with Siloed Thinking, the negative impact becomes all too apparent on the profit and loss statements. Departments may find themselves duplicating efforts or competing for resources, which can quickly inflate operational costs.

If you notice rising costs alongside stagnant productivity, it’s essential to consider the root cause. Often, the issue isn’t market conditions or technological glitches, but rather a toxic organizational structure that’s hindering strategic execution.

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Why the Walls Go Up

Silos don’t develop because you’ve hired “bad people.” They are a predictable result of your organizational structure, deadline pressures, and incentive systems.

• The Vertical Leadership Trap: Most executive development focuses on climbing the hierarchy. On the contrary, managers should lead their own teams without equipping them with tools to influence peers across different functions.

• The Transparency Deficit: Frontline teams often operate in isolation. They lack awareness of what neighboring departments face, which leads to a natural inclination toward turf protection.

• The Utility of Disorganization: Let’s be honest — some managers intentionally engineer silos. Clearly defined, opaque territories can blur accountability. It’s an easy way to seem indispensable, dodge criticism, and monopolize information.

The Blamed Patterns

When cross-functional execution fails, the reasons typically fall into five categories:

• People: Turf wars, corporate politics, and the fear of losing status.

• Process: Weak handoffs, unclear decision rights, and no shared routine.

• Culture: A total lack of psychological safety and an aversion to tough conversations.

• Tools: New software won’t fix cultural issues; it just automates existing tensions.

• Leadership Behavior: Executives talk about “collaboration” in meetings but retreat to their own silos immediately afterward.

The common executive mistake involves trying to “patch” these issues with more meetings, task forces, or fancy software. Understanding that systemic change is necessary can empower leaders to seek meaningful transformation rather than quick fixes.

The Standard Playbook (And Why It Misses the Mark)

Addressing silos isn’t about erasing boundaries; it’s about making lateral collaboration visible and essential. The usual approach includes:

• Aligning shared targets instead of individual KPIs.

• Creating a dependable operating rhythm to prevent surprises.

• Clearly defining decision rights to eliminate endless consensus-seeking.

• Expecting leaders to model cross-functional behavior.

• Keeping everyone focused on a unified view of the customer journey.

In plain English: stop just telling people to “be friendlier.” Restructure the system so collaboration becomes the easiest and most rewarding path.

The Contrarian Reframe

If you want a sharper perspective, consider what mainstream thinking often overlooks:

1. Silos aren’t an absolute evil. Sometimes, boundaries are necessary to preserve expertise, enhance focus, or manage chaos. The issue lies in whether that separation becomes a barrier to achieving desired outcomes.

2. Excessive collaboration can be detrimental. When collaboration lacks clarity and boundaries become too fuzzy, teams default to consensus, which can stifle innovation and slow progress.

3. Frameworks won’t save you. While frameworks like OKRs, dashboards, and committees can be valuable, they won’t lead to sustainable change if we don’t address the underlying power dynamics. An OKR system isn’t inherently flawed; rather, it falters when leadership relies on it as a substitute for meaningful governance.

4. It’s about behavior under fire. The real test comes when challenges arise. Silos don’t form during smooth operations; they emerge under intense pressure. In stressful times, teams can slip into survival mode, erecting barriers that hinder collaboration. The solution lies in creating a resilient system that can navigate organizational stress effectively.

The Bottom Line

Siloed thinking goes beyond just “communication issues.” It highlights a design flaw within the organization. When individuals prioritize protecting their own interests over achieving shared goals, it restricts collective progress and shows in the company’s bottom line.

And like an orchestra, let’s judge success based on the quality of the symphony as a whole rather than the quality of a separate part.

Yours truly,

Irina

💭 If the inner piece made sense, the outer dynamics become much easier to change↗.

I write weekly about how behavior and decision-making patterns influence business success, and their impact on profitability and performance. Subscribe to get the next one by email.

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Organizations often react to pressure in a similar way. They don’t fall apart because of panic, but because they become rigid. This is called Threat Rigidity1 — a survival response where leaders take more control, stop experimenting, and discourage disagreement when things are uncertain.

Although this behavior can seem disciplined at first, it often ends up destroying innovation, adaptability, and long-term resilience.

When the System Turns Inward

From the outside, a company under pressure can look like it’s in complete lockdown. First introduced in 1981 by B. Staw, L. Sandelands, and J. Dutton, the framework

1. The Information Blackout

When an organization is under pressure, it stops searching for new information and holds on to what it knows. Instead of exploring, leaders fall back to customary procedures. Communication becomes repetitive and loses key details. Overwhelmed by crisis data, leaders choose the safest, most well-known path instead of the best.

2. The Grip of Control

The organization’s structure becomes more rigid to handle the threat. Power moves to the top, and middle managers act as messengers. Rules become tighter, and people focus on reporting up instead of working with other teams. Departments stop communicating and wait for instructions from the top. This is supposed to help coordination, but it ends up creating followers who can’t act on their own.

3. When Efficiency Becomes Company Suicide

The organization enters “conservation mode”. Budgets for marginal or experimental work are the first cut. Every penny is monitored with obsessive accountability. This concentration on efficiency looks responsible on a balance sheet, but trades innovation for survival. You become world class at what you already know while becoming blind to the fact that it is no longer relevant.

Under all this lies a dangerous layer of overconfidence. There is a hidden assumption that the organization’s past track record is armor — that the “old ways” worked before and must work again. It is a belief that the fortress is strong enough to wait out a storm that has already changed the climate.

Learning from the Best: Strategic Thinking or Strategic Overconfidence?

Six hundred years ago, if you were looking for quality, technology, and well-run cities, you looked to the East. Back then, “Made in China” meant the best quality you could find.

I spent several years working with the world’s largest bank by assets, a Chinese institution. This experience gave me a reasonably long immersion in how Chinese professionals actually think.

Here’s the link↗ to a deep dive into my discovery.

The Cost in Numbers

The financial data is clear. When ‘Emergency Mode’ shuts down communication, people start leaving.

Harvard Business Review found that in a company of 100, turnover from disengagement can cost $2.6 million a year. Leaders who focus only on cutting costs and ignore culture aren’t saving the business — they’re paying for people to leave.

To keep your best people, clarity isn’t optional; it’s how you keep them.

Moreover, employees who get enough information to do their jobs well are 2.8 times more likely to be engaged. For companies, this isn’t just about morale. Teams with engaged employees see 23% higher profits.

Survival Logic: The Case You Know

Let’s look at a well-known example to show exactly what I mean.

Blockbuster became a classic example of failed digital transformation. The company optimized its existing retail model so aggressively that it lost the ability to respond to Netflix’s subscription-based streaming strategy. This is one of the clearest real-world examples of Threat Rigidity in business.

In 2000, Blockbuster could have bought Netflix for $50 million, but the decision was made against it. The board wanted steady returns, and their main business was still making money. Why risk a new digital idea when the old way still worked? By the time the threat was obvious, Blockbuster’s survival mindset had made it impossible to change. They weren’t just protecting their business. They were holding onto a way of working the market had already left behind.

What To Do?

Threat rigidity doesn’t seem like a mistake when you’re in it. It looks like focus and responsibility.

The shift begins the moment pressure rises, but you can override the “lockdown” by installing a different operating system.

• Stress-test assumptions. Don’t just rely on the “safe” path. Create a “Red Team” whose job is to expose the blind spots in your current model. I assume you have the Crisis Playbook by now.

• Push decisions downward. Allow for small, quick moves when speed and local context matter.

• Reward dissent. Make it safe and valuable for people to challenge the main way of thinking. Reward the curiosity that questions “how we’ve always done it.”

• Protect learning capacity. Always keep some time or budget for future bets, even during a crisis.

Organizations often don’t realize when they’ve become closed off. It just feels like the safest way to work. But real leadership in tough times isn’t about holding on tighter. It’s about staying clear when you can’t see what’s ahead.

Yours truly,
Irina

The window between those two moments is shorter than most managers realize and costs more than most organizations are willing to admit.

In my 10 years inside a 24/7 corporate, I took some notes. Five patterns kept showing up. These are five ways money falls short as a main motivator. They don’t all appear at once, but they show up often enough that you can’t ignore them.

Adaptation

The salary high has a shelf life of roughly three months. What felt like recognition in January becomes the baseline by April.

Frederick Herzberg described this in the 1950s and called money a hygiene factor. These are the conditions of work, like salary, the physical environment, relationships with colleagues, and management style. They are necessary. Without them, the job becomes unbearable. But having them does not create motivation; it just removes reasons to leave. Most organizations have yet to fully embrace his message. [→ I wrote about this in full here]

Replaceability

If money is the sole anchor, talent is effectively for rent to the highest bidder.

I learned this personally. A few years ago, I earned one of the most respected certifications in my field. It took several years, included exams, and involved learning from a global community.

When I finally received it, I told my manager.

“Congrats. Now what? What does that actually get you?”

That was the whole response. There was no talk of a promotion or a raise. At that moment, after years of effort, all I had was an ordinary piece of paper.

We simply valued different things and never made those valuations explicit. That miscommunication is its own lesson.

The same certification became a deciding factor in my next contract. The decision-maker named its value directly and specifically.

It was the same credential, but two people saw its value in completely different ways.

Replaceability goes both ways. If an employer does not understand what motivates people, they risk losing them to someone who does.

Diminishing Returns

Once basic needs are covered, earning more money does not always make people feel better day to day. Kahneman and Deaton’s study (Princeton, 2010) found that emotional well-being levels off at about $75,000 a year. Andrew Jebb’s later research suggested that $60,000 to $75,000 is still the best range for daily happiness, and about $95,000 is best for overall life satisfaction. Beyond that, more money changes how people judge their lives, but not their daily feelings as much.

Crowding Out

Financial rewards can reduce people’s inner drive. Instead of thinking about whether their work matters, people start focusing on how much each task pays. Purpose gets replaced by price tags.

Conflict

It is easy to measure money, but value is harder to define. This breeds resentment in teams where value is subjective.

BIRGing, or basking in reflected glory, shows what happens when organizations build ‘glory ecosystems’ around KPIs and LinkedIn posts. Company hoodies turn into status symbols. Low performers blend in with team successes without contributing. [→ I unpacked this in my recent piece — link here]

The conversation about what actually motivates someone has not started until you move past the salary discussion.

Money is the condition of someone’s presence.

Real motivation comes from something else. The only way to find out what that is for each person is to ask them.

Not once. Regularly. With sincere curiosity about the answer.

Yours truly,
Irina

💭 If the inner piece made sense, the outer dynamics become much easier to change↗.

When something goes wrong, like a data breach, a failed launch, or a public mistake, the first reaction is often to wait. Leaders want to gather facts, consult lawyers, and remain silent until they have the perfect answer.

By then, the narrative has already been written. By someone else.

Crisis communication is not about spin. It is about managing attention: who controls the story, the emotion, and the timeline.

The pattern in every well-handled crisis looks roughly the same.

Acknowledge the problem in public, and do it right away. If you stay silent, people may see it as guilt or incompetence, or even both.

Explain what happened honestly. Share enough details to ease tension, but keep enough control so the message stays yours.

Take responsibility. Don’t say “mistakes were made.” Be specific about your own role.

Share your plan and keep people updated, even every four hours if needed. People can handle bad news, but they cannot tolerate uncertainty.

Move from words to action. The crisis is not over when you communicate it well. It is over when the problem is actually solved.

Even small companies need a crisis plan. You don’t need to be a Fortune 500 entity to have a “In Case of Fire” break-glass plan. Decide who will speak, where updates will be posted, and what situations you might face.

The best time to create that plan is before you ever need it.

The next best time is right now.

Yours truly,
Irina

💭 If the inner piece made sense, the outer dynamics become much easier to change↗.

The actual problem is almost always somewhere else.

Three ingredients consistently make the difference and none involve vocabulary or presentation skills.

Positive intent is about believing your colleague didn’t send that email just to upset you. Research shows that making this assumption helps lower defensiveness, leads to better feedback, and makes working together less tiring. Most office conflicts happen because someone misreads the intention behind a professional message.

Attunement is about noticing the mood in the room before you speak. Emotional intelligence isn’t just a soft skill. It’s what separates leaders who get honest feedback from those who only hear what people think they want to hear.

Truly listening means you’re not just waiting for your turn to talk. It’s about staying present and letting the other person finish their thought before you start thinking about your reply.

None of this is complicated. It all requires practice that most people never do because training always focuses on talking.

Yours truly,

Irina

💭 If the inner piece made sense, the outer dynamics become much easier to change↗.

With experience in corporate strategy across Europe and insights from my ACCA membership, I have observed that most people operate within local incentives. The CFO is often uniquely positioned to see the broader organizational context, the bigger picture. The only one who sees how the veins connect to the heart.

Continue reading the full article originally posted on Medium↗.

Yours truly,
Irina

💭 If the inner piece made sense, the outer dynamics become much easier to change↗.

Most people treat time like a bank account with no overdraft limit. Money runs out and triggers an alarm. Time runs out quietly, one scroll at a time.

Financial goals get spreadsheets. We set savings goals and investment milestones. We track them quarterly, adjust, and optimize.

Meanwhile, time, the only resource that does not replenish, gets spent freely on whatever shows up. We scroll through our phones, sit in meetings that could have been emails. And suddenly, years passed while the financial plan was on track.

Financial goals help us figure out how much we want to have. Time goals help us decide who we spend our time with and what we do. If you have a bad year with money, you can bounce back. But you can’t get back a lost Wednesday.

The financial goal is a means. The time goal is the point.

Most planning systems have these in the wrong order.

Yours truly,

Irina

💭 If the inner piece made sense, the outer dynamics become much easier to change↗.

Then I arrived in Palermo, Italy.

Everything went into one pile. It felt like a mix between a landfill and a comment on how individual effort can seem pointless.

The difference is more than how things look. It’s about the whole system. Turin, a city a few hours north, has one of Italy’s most advanced waste-to-energy plants called TRM. It processes hundreds of thousands of tons each year and produces 350,000 MWh of electricity. Sorting waste is almost like a rule of God there.

Palermo and Turin are both in Italy, but their systems are completely different.

This highlights how personal habits connect to larger systems. My careful recycling only works if the system can handle it. Microplastics, now found in our blood, soil, and air, didn’t show up because people sorted things wrong. They’re here because the system was built for quick profit, not long-term health.

Financial markets do not price pollution; the focus is on short-term profit. Companies do not pay for the health costs their waste creates.

The externalities, worth trillions, will keep getting distributed across everyone else. Unless the internal approach within markets and organizations changes.

Individual habits matter. They are also insufficient on their own.

Yours truly,
Irina

💭 If the inner piece made sense, the outer dynamics become much easier to change↗.

Jim Jones led Peoples Temple, a community that promised racial equality, belonging, and a better world. In 1978, he told his followers to drink cyanide in a remote jungle settlement in Guyana called Jonestown. More than 900 people died.

Most of them were not fanatics. Most were idealists who believed in social equality, community, and something better than what America had offered them.

Jim Jones understood something about human psychology most leaders never articulate.

Belonging is a powerful motivator. People do not follow ideas. They follow the feeling of being seen, accepted, and necessary to something larger than themselves.

He started there. Then he built everything else around it.

The words came later. They worked not because Jones was uniquely persuasive but because conditions for compliance were already in place. Isolation from family. Sleep deprivation. Financial dependency. Public humiliation as a control mechanism. A community that had become the only world people knew.

He built a system over the years that made resistance feel impossible and belonging feel like the only truth available.

The word was the last step, not the first. Every leader is responsible for the conditions they create before speaking. That responsibility is either the most dangerous or the most constructive thing in the world.

The choice is always yours.

Yours truly,
Irina

💭 If the inner piece made sense, the outer dynamics become much easier to change↗.

Going from 1 case per 10,000 to 2 per 10,000 sounds like nothing.
Both describe the same thing.

Relative risk makes headlines. Absolute risk makes decisions. The difference between the two is where most misunderstanding lives: in health reporting, in financial projections, and in every boardroom presentation that leads with percentage growth without mentioning what it grew from.

Here are some more examples:

• A 100% increase in conversion rate sounds like a triumph. Going from 0.3% to 0.6% is a different conversation.

• A 50% reduction in customer complaints is impressive. Unless complaints were already at 2 per thousand and you are now at 1.

Knowing only the relative number is like having a 50% off coupon without knowing the original price. Whether the discount matters depends entirely on what you are starting from.

The baseline is not a footnote. It is the context that makes every other number meaningful or meaningless.

Next time someone leads with a percentage, ask what it was before.

Yours truly,
Irina

💭 If the inner piece made sense, the outer dynamics become much easier to change↗.

They became iconic in American Chinese restaurants after Japanese American owners were sent to internment camps during World War II and Chinese business owners bought their operations.

Nobody planned any of that.

The cookie itself is almost irrelevant. Manufacturers sometimes use it as a loss leader to sell noodles. Profit margins are fractions of a cent. The actual product is a slip of paper inside food.

The message became the product. The container became the delivery mechanism. The delivery mechanism became a ritual millions use to feel the universe is talking directly to them, even knowing it was written in bulk by someone in New Jersey1.

Sometimes the slip of paper is just right.

It happens so that the most renowned products are rarely the ones that make the most money. They are the ones that make people feel something real — even when the whole thing is manufactured, automated, and given away for free.

Yours truly,

Irina

You might feel in charge, but the rules may have changed.

If you spend long days in a high-pressure job, those habits can spill over into your personal life. Picture a dad trying to organize a Disney trip with a five-year-old using a whiteboard and charts. It sounds silly but we often act this way without noticing.

Business leaders often try to apply their work approach to five key areas: spirituality, sports, health, money, and relationships. They might see their health or relationship as something to optimize.

Real resilience starts with facing risks honestly and knowing where you stand with your time, finances, and relationships. You can’t control everything.

Yours truly,

Irina

💭 If the inner piece made sense, the outer dynamics become much easier to change↗.