Your Managers Drive 70% of Employee Engagement. So Why Is Their Own Engagement Falling?

Gallup has been saying it for years: managers account for 70% of the variance in employee engagement. Every organization knows this statistic. Very few have drawn the obvious conclusion from it: if your managers aren’t engaged, your employees can’t be either — no matter how good the culture programs, the benefits, or the town halls are.

The 2025 Gallup State of the Global Workplace report found that manager engagement is declining. The same layer of the organization responsible for most of the human experience at work is itself experiencing less meaning, less connection, and more pressure than ever. This is not a morale problem. It is a structural leadership development problem — and it is quietly undermining every other people initiative in the organization.

Why manager engagement is falling

Middle managers in 2026 are being asked to do more than any previous generation of managers was designed for. Integrate AI into team workflows. Support burned-out employees. Meet escalating executive expectations. Navigate hybrid teams. Develop their people. Deliver results. Do all of this while managing their own workload with no reduction in scope.

Most were promoted into management without formal training. Most have never received consistent coaching or development since. Most are evaluated on their team’s output, not on the quality of their leadership behaviors. And most operate in organizations that tell them people are the priority but measure them primarily on tasks and numbers.

The gap between what the role demands and what the organization provides for it is the exact space where engagement goes to die.

The leadership trap nobody talks about

The managers who disengage don’t stop working. They stop developing. They stop investing emotionally in the outcomes. They shift from leading their team to managing through their team — communicating what’s required, tracking what’s submitted, escalating what’s unclear. The team still functions. But it doesn’t grow, because the person who is supposed to develop it has stopped being developed themselves.

This is contagious. A disengaged manager produces a disengaged team, not through any specific act, but through the slow withdrawal of the attention, energy, and belief that make leadership real.

What actually re-engages managers

Not a team-building day. Not a survey. Not a town hall where leadership thanks everyone for their hard work. What re-engages managers is the same thing that engages any professional: feeling that they are growing, that their judgment is respected, that their work produces visible results, and that someone above them is paying attention to their development, not just their output.

LEADdaily is designed around this insight: when managers practice daily leadership behaviors and see those behaviors produce real outcomes for real people, engagement follows naturally. Not because the program is inspirational, but because competence and impact are intrinsically motivating. A manager who gets better every day at something that matters has a reason to show up that no benefits package can replicate.

Where AI creates a unique opportunity

AI tools can return hours to a manager’s week that were previously lost to administrative work. But the real opportunity is what those hours can be used for: development, reflection, meaningful team interactions, and the strategic work that makes management feel like leadership rather than logistics. This only happens if the manager has been intentionally developed to use that time for growth — not just to fill it with more administration.

The business case

A disengaged manager costs an organization an engaged team, multiplied by everyone on that team, sustained over however long the disengagement lasts. The math is not complicated. The investment required to re-engage a manager who is already skilled is a fraction of the cost of hiring and developing their replacement.

So before your organization runs its next employee engagement survey, ask the harder question: when did we last genuinely invest in the development and engagement of the people running the engine?

Recommended reading from jordanimutan.com:

1. Leadership Micro-learning: Most Leadership Training Fails. We Help Managers Apply What They Learn Daily

2. Why Your Best People Are Always Busy — but the Business Still Feels Stuck

3. The True Leadership Currency: Why Trust Is More Valuable Than Talent

4. Your Managers Keep Talking About Accountability — But No One Feels It

5. Build AI-Ready Managers

How to Lead a Hybrid Team Without Becoming the Only Person Who Knows What’s Going On

Hybrid work didn’t create the problem. It just made the problem impossible to hide. The manager who led by presence — by being visible, by seeing who was at their desk, by overhearing conversations and jumping in — suddenly had no presence to lead with. And it turned out that for many managers, presence was the entire system.

Hybrid leadership is not remote leadership with office days sprinkled in. It is a fundamentally different leadership challenge: maintaining alignment, momentum, and accountability across a team that is not in the same place at the same time, without reverting to surveillance (too many check-ins) or abdication (assuming everyone is fine because nobody complained).

The manager who becomes the only information hub

Here’s the most common hybrid failure: the manager becomes the node through which all team information flows, because they’re the one person who attends both the in-office conversations and the online meetings. Everyone on the team knows what the manager told them. Nobody knows what their colleagues know. The team is technically connected but practically siloed, and the manager is quietly exhausted from being the translator for everything.

This happens because most managers were never trained to design information flow deliberately. In an office, information moved through proximity. In a hybrid environment, it has to be designed. The manager who doesn’t design it ends up carrying it.

What hybrid leadership actually requires

Outcome clarity over activity visibility. A hybrid manager who doesn’t know whether their people are “working hard enough” because they can’t see them is measuring the wrong thing. The question is never “are they at their desk.” It’s “are they producing the right outcome.” This shifts the management habit from observation to expectation-setting — which is harder, takes more upfront clarity, and produces far better results than any monitoring system.

Structured connection over assumed alignment. Hybrid teams don’t stay aligned through osmosis. They stay aligned through deliberate, brief, regular structures: a fifteen-minute weekly team sync with a shared agenda, a shared digital space where decisions are documented, a clear rhythm of when collaboration is expected and when independent work is protected. The manager who designs these structures spends less time re-aligning people and more time actually leading them.

Where AI helps hybrid managers specifically

AI is genuinely useful for hybrid teams in a way it isn’t for co-located ones: summarizing what was discussed for people who missed a meeting, identifying action items from scattered threads, and helping managers build the written clarity that replaces the in-person cue. A manager who uses AI to turn a meeting into a clear written decision log has solved one of hybrid work’s most persistent problems — not by adding more meetings, but by making the existing ones more durable.

The LEADdaily practice

LEADdaily in a hybrid context means building two daily habits: one communication that creates clarity (a short written update of the key decision made today and why), and one connection that is not task-related (a thirty-second check-in question that is about the person, not the project). Together, these keep the manager from becoming either a surveillance mechanism or an invisible function that nobody hears from until something goes wrong.

The business case

Hybrid work is not going away. Gallup data from 2025 shows 70% of remote-capable employees prefer hybrid or fully remote arrangements. The organizations that figure out hybrid leadership — not hybrid policy, but hybrid leadership behavior — will retain talent, maintain performance, and stop losing institutional knowledge through a constant cycle of confused, disengaged employees who weren’t led well enough to stay.

So the question for every manager of a hybrid team: does your team know what they need to know, or do they know only what you remembered to tell them?

Recommended reading from jordanimutan.com:

1. Clarity Is Uncomfortable. That’s Why It’s Rare.

2. The Work Is Getting Done. The Outcome Isn’t.

3. Build AI-Ready Managers

4. Leadership Micro-learning: Most Leadership Training Fails. We Help Managers Apply What They Learn Daily

5. The “Invisible” CEO: Building a Startup Structure That Doesn’t Break When You Step Away

You Let Your Managers Teach Themselves AI. Here’s the Bill Coming Due.

Letting your managers “figure out AI on their own” feels efficient right now. It will cost you a lot more later, and the bill arrives quietly — as inconsistency, not as a single visible disaster.

Most companies didn’t choose this on purpose. AI tools showed up fast, budgets for formal training lagged behind, and managers did what capable people do when nobody gives them a system: they experimented. Some became power users. Others avoided the tools out of caution or quiet anxiety. A few used AI in ways that created real risk nobody noticed until much later. No one designed this outcome. It just happened, by default, in thousands of companies at once.

Why self-taught AI use feels fine until it isn’t

A self-taught manager who’s curious and careful might genuinely get good results. That’s the trap — it works often enough to feel safe. The problem isn’t any single manager’s skill. It’s the variance across an entire management layer, where every manager is operating on a different, untested understanding of what the tool can and can’t do.

One manager uses AI thoughtfully to draft fair, well-reasoned feedback. Another feeds confidential team data into a tool without realizing the privacy implications. A third doesn’t trust AI at all and quietly tells their team to avoid it, undercutting company strategy without anyone in leadership knowing. Same company, three completely different outcomes, and not one of them was trained on purpose.

The real cost isn’t a scandal. It’s inconsistency.

Most companies worry about the dramatic version of this risk — a data leak, a biased decision, a public mistake. Those things matter, and they happen. But the quieter, more expensive cost is consistency itself. When every manager’s AI judgment is self-taught, the business has no reliable floor for how decisions get made, how feedback gets written, or how risk gets assessed. Two employees on two different teams can get wildly different treatment, not because of policy, but because their managers learned AI differently from a YouTube video and a Slack thread.

That inconsistency erodes trust slowly. Employees notice when one manager’s decisions feel fair and well-supported while another’s feel arbitrary. They rarely connect it to “uneven AI training,” but that’s often exactly what’s underneath it.

Why “just send them a tools workshop” doesn’t close the gap

A single AI tools session teaches everyone the same features. It does not teach everyone the same judgment, and judgment is precisely where the inconsistency lives. Two managers can sit through the identical workshop and walk away with completely different instincts about when to trust the output, when to double-check it, and when not to use AI at all. Without structured practice and feedback on those judgment calls specifically, the variance survives the training untouched.

This is the same gap that has made leadership training disappoint companies for years: a one-day event creates temporary alignment in the room and almost no lasting alignment in daily behavior. AI just raises the stakes, because the inconsistent behavior now touches more decisions, faster, than it used to.

What actually closes the gap

The fix isn’t banning self-directed learning — curious managers should keep exploring. The fix is giving every manager a shared, practiced baseline: the same core judgment calls, practiced the same way, reinforced over weeks instead of taught once. Not just “here’s how the tool works,” but “here’s how we decide what to trust, what to double-check, and what never goes near AI in the first place” — built into real work, not a slide deck.

Done well, this doesn’t slow managers down. It gives the curious ones a stronger foundation and gives the cautious ones enough confidence to finally start using the tools the company already paid for.

The business case

Inconsistent AI judgment across your management layer is a hidden cost sitting on your balance sheet right now, even though no line item says so. It shows up as uneven decisions, slower adoption, and quiet risk nobody flagged because nobody was responsible for flagging it. A shared, practiced standard turns that hidden cost into a visible asset: a management team that uses AI the same way, for the same reasons, with the same judgment — no matter who’s reviewing the work that day.

So before assuming your managers’ self-taught AI skills are good enough, ask the question that actually matters: if every manager in your company is improvising their own AI judgment right now, do you actually know what’s running your business?

Recommended reading from jordanimutan.com:

1. Build AI-Ready Managers

2. Why Your Leadership Training Isn’t Working (And What To Do Instead)

3. Leadership Micro-learning: Most Leadership Training Fails. We Help Managers Apply What They Learn Daily

4. Your Managers Keep Talking About Accountability — But No One Feels It

5. The “Invisible” CEO: Building a Startup Structure That Doesn’t Break When You Step Away

Your Manager Can Prompt ChatGPT Like a Pro. They Still Can’t Coach Their Team Through a Hard Conversation.

Here’s an uncomfortable fact: being good at AI and being good at leading people are not the same skill, and most companies are accidentally training only one of them.

A manager who can write a flawless prompt, automate a report, and summarize a meeting with AI in seconds can still freeze up the moment a direct report needs honest, difficult feedback. The tool got smarter. The manager’s hardest job didn’t get any easier — and in some ways, it got harder, because now there’s a new layer of decisions about when to trust AI and when to trust their own judgment.

AI fluency is necessary. It is not sufficient.

There’s no debate that managers need to understand AI now. It touches hiring, performance reviews, planning, and daily output. A manager who doesn’t understand what these tools can and can’t do will either avoid them entirely or trust them too blindly — both are costly mistakes.

But AI fluency answers the question “what can this tool do.” It says nothing about “how do I lead a human being who is anxious, defensive, or disengaged.” Those are two entirely different muscles, and building one does not automatically build the other.

Where this shows up in real teams

Picture a manager using AI to draft fair, well-structured performance feedback for an underperforming employee. The document is excellent — clear, specific, professional. Then the manager has to deliver it in person, watch the employee’s face fall, and navigate the conversation that follows without becoming defensive or backing down on accountability.

No AI tool does that part. That conversation is still entirely human, and it’s exactly the kind of skill that most companies have under-trained for years — long before AI ever entered the picture. Add a new technology layer on top of an existing leadership skills gap, and the gap doesn’t shrink. It just becomes more visible, faster.

Why companies keep solving the wrong half of the problem

Most corporate AI rollouts focus almost entirely on tool literacy: how to prompt, how to automate, how to save time. That’s the easier half to teach, because it’s mechanical and demonstrable in an afternoon.

The harder half — delegation, coaching, hard conversations, accountability without damaging trust — takes longer to build and is harder to put on a slide. So it quietly gets skipped, and companies end up with managers who are AI-fluent but no more capable of leading their teams than they were a year ago.

This is backwards. AI was supposed to free up time for the human parts of management. Instead, in many companies, it’s just compressing the mechanical work and leaving the human work exactly as under-resourced as before.

What actually works: train both, on purpose

The fix is treating AI fluency and leadership behavior as two connected skills that need to be built together, not one as a substitute for the other. Managers need real practice with AI tools, yes — but tied directly to the leadership moments where it matters: using AI to prep for a hard conversation, not to avoid having it; using AI to spot a coaching opportunity, not to skip the coaching itself.

This only works through repeated application on real situations, not a one-time demo. A manager who tries this once in a workshop and never practices it again will default right back to the conversations they were already avoiding before AI showed up.

The business case

A team led by an AI-fluent manager who still can’t coach, delegate, or hold a hard conversation will hit a ceiling fast — the tools will speed up the easy work and leave the hard work, the work that actually drives engagement and retention, untouched. A team led by a manager who’s built both skills together gets the full value: faster execution and stronger leadership, at the same time.

So the real question isn’t whether your managers can use AI. It’s whether AI training is making them better leaders, or just better typists.

Recommended reading from jordanimutan.com:

1. Build AI-Ready Managers

2. Your Managers Keep Talking About Accountability — But No One Feels It

3. Shared Responsibility Is Usually a Leadership Shortcut

4. Why Your Leadership Training Isn’t Working (And What To Do Instead)

5. Leadership Micro-learning: Most Leadership Training Fails. We Help Managers Apply What They Learn Daily

Stop Buying Leadership Training Off the Shelf. Your Business Problem Is Not Generic

A catalog training program is designed for everyone. Your business problem belongs to your organization, your managers, and your specific situation. Those two things are almost never the same.

Why Off-the-Shelf Leadership Training Almost Never Solves the Right Problem

The leadership training industry generates billions of dollars selling programs built for a hypothetical average manager at a hypothetical average company. These programs are well-produced, professionally facilitated, and genuinely helpful to the content creators who sell them.

They are almost never the fastest path to solving your actual business problem.

Here’s why. A catalog program on “delegation” was built to teach the concept of delegation to anyone, anywhere. Your actual delegation problem — let’s say your managers are making every decision themselves because they don’t trust their teams and your operations are bottlenecking — requires a specific diagnosis, specific behaviors, and specific tools designed for your context.

Generic training teaches the concept. Custom training changes the behavior. And if your business problem is real, the difference matters.

The 5 Questions to Ask Before Designing Any Leadership Training Program

Most organizations skip directly from “we need leadership training” to “let’s book a facilitator.” The questions between those two steps are where the real design happens — and skipping them is why so many programs produce learning without change.

Before any leadership program is designed, these five questions need answers:

  • What specific business result are we trying to move? Not “improve leadership” — a real metric: faster decisions, lower turnover, better execution, higher sales conversion.
  • What manager behavior is most directly connected to that result? “Better communication” is not a behavior. “Giving specific, behavior-focused feedback within 24 hours of a performance issue” is.
  • What does that behavior look like in practice? If you can’t describe it well enough that a manager knows exactly what to do differently at 9 AM Monday, you haven’t defined it yet.
  • What is currently preventing managers from doing this? Is it a skill gap, a habit, a system, a culture? The root cause determines the solution.
  • How will we know it worked? Define the observable, measurable outcome before training begins — not after.

These five questions separate training that produces results from training that produces attendance records. And most organizations have never formally asked any of them.

What Custom, Problem-First Training Design Actually Delivers

When training is designed backward from a specific business problem, the results are qualitatively different from catalog programs:

  • Managers immediately recognize the relevance — the training speaks directly to the problem they’re living, not a general version of it
  • Practice is built around real scenarios from the organization’s actual context, not hypothetical case studies
  • Application tools are designed for the specific behavior change, so managers can use them on Monday, not just remember them from the session
  • Results are measurable against the original business problem, so ROI is demonstrable, not anecdotal

Our clients consistently see measurable results — faster decisions, lower turnover, improved execution — not because the facilitator was brilliant, but because the program was designed to produce a specific outcome from day one.

The Design Advantage: Start With the Problem, Not the Program

The market is full of people who can design slides. It’s much smaller for people who can change what managers actually do — because the latter requires starting from the business problem and working forward to the behavior, rather than starting from a content library and hoping the behavior follows.

The REAL Leadership Development Framework exists entirely in that smaller market. Every program starts with a diagnosis: what is the specific behavior that, if changed, would move this business result? Everything else — content, practice, tools, accountability structure, measurement — flows from that answer.

You start with the business problem, not the course content. That single design decision is what separates training that changes organizations from training that fills calendars.

Knowing isn’t doing. And designing a training program around what managers should know — rather than what they need to do differently — is the single most expensive mistake in leadership development.

If you were to design your next leadership training program starting from a specific business problem rather than a topic — what problem would you start with, and how different would the program look?

Training Without Accountability Is Just Expensive Storytelling

The most dangerous phrase in leadership development is: “We’ll trust that they’ll apply it back on the job.” That sentence is where training ROI goes to die.

The Application Gap: Why Training Doesn’t Survive the Commute Home

Here’s a pattern that happens in organizations every single week: managers attend a leadership program, leave energized, return to 47 unread emails and a 2 PM deadline, and by Thursday are operating exactly as they did before the training.

This isn’t a character flaw. It’s physics. Old habits are neural pathways worn smooth by repetition. New behaviors from a training session are fragile ideas with no structure to support them. Without deliberate accountability, the old pathway always wins.

The application gap — the distance between what gets taught in a training and what actually changes in behavior — is the central failure mode of the leadership development industry. It’s almost entirely caused by programs that end at the training event rather than treating the event as a starting point.

What Accountability Actually Means in Training Design

Accountability in training design is not about checking boxes or punishing non-compliance. It’s about creating the conditions where applying new behaviors is expected, supported, and visible.

Practically, this means three things:

  • Specific application commitments — before the training ends, every participant defines exactly what they will do differently and by when
  • Structured follow-through — a planned check-in at 2 weeks and 30 days post-training where participants share what they applied and what they struggled with
  • Manager-to-manager visibility — cohorts that share application progress with each other create social accountability far more powerful than any evaluation form

These structures don’t require surveillance. They require design. And they transform training from an event into a process — which is the only format that actually changes behavior.

The Problem With “Trust” as a Post-Training Strategy

Many training programs are built on an implicit assumption: we’ll deliver the content, and capable adults will apply it. This assumption is respectful of autonomy and completely wrong about how behavior change works.

Behavior change requires friction removal, not faith. It requires that the new behavior is easier to do than the old one, or that not doing it has a visible consequence. Without deliberate post-training structure, applying new behaviors requires more effort than defaulting to old ones. The default always wins.

This is not a management philosophy. It is neuroscience. And it means that any training program that ends without an accountability structure is, by design, planning to fail.

How the REAL Framework Builds Accountability In, Not On

The REAL Leadership Development Framework treats accountability as a design element, not an add-on. Every program includes:

  • Pre-training commitment: participants identify the specific behavior they will change before training begins
  • Structured practice tools: application guides, decision frameworks, and coaching templates that make new behaviors immediately usable after Day 1
  • Post-training check-ins: scheduled, structured follow-up sessions that hold behavior change accountable to the business problem it was designed to solve
  • Measurable outcomes: success criteria defined before training starts so accountability is tied to results, not just activity

The result is a training program where the event is the beginning, not the end. Where accountability is built in, not hoped for. And where the measure of success is not “did they attend” but “what did they do differently next Monday.”

Knowing isn’t doing. And until training design treats accountability as essential — not optional — most programs will keep producing graduates who know more and do the same.

What accountability structure exists in your current training programs to ensure managers actually apply what they learned — and if there isn’t one, what does that tell you about the results you’re getting?

Accountability Is a Skill. Almost No One Practices It.

Editorial title card reading "Accountability Is Trained, Not Declared" with a rising bar motif

Every leader says they want a culture of accountability. Almost none of them can tell you the exact thing they do on a Tuesday to create it.

That gap is the whole story. We talk about accountability like it’s a value you install — a poster, a town hall line, a line in the performance review. It isn’t. Accountability is a behavior. A set of small, specific moves a manager makes, in real time, with a real person, when the work isn’t landing. And like any behavior, it’s either practiced or it isn’t.

It’s not a values problem. It’s a practice problem.

Here’s the reframe most leaders miss. When a team lacks accountability, the instinct is to blame character — people are too soft, too conflict-avoidant, too checked out. So the fix becomes another values statement. Hold each other accountable. Own your outcomes.

Useful words. Zero behavior change.

Because the manager who avoids the accountability conversation doesn’t avoid it because they don’t value accountability. They avoid it because they’ve never rehearsed what to actually say when a good employee misses a deadline for the third time. They know it matters. They just don’t have the muscle. Knowing isn’t the problem. Doing is.

Why this matters right now

Gallup put a number on it this year. In a study of more than 23,000 U.S. employees, accountability came in dead last among the seven core leadership competencies they measured. Fewer than half of leaders rated themselves as outstanding at holding people responsible for delivering strong performance. And when managers rated their own leaders, the scores came in lower still.

Sit with that. The skill leaders rank as their weakest is also one of the most concrete. This isn’t vision or charisma — fuzzy things that are hard to coach. Accountability is observable. It’s a conversation that either happens or doesn’t.

It also moves the needle on everything else. Gallup found that managers who say their leaders are exceptional at accountability are three times more likely to be engaged at work — 51 percent engaged versus 17. Clarity of expectations, the thing accountability runs on, has dropped more than almost any other engagement element they track. So we have a workforce drifting on unclear expectations, led by managers who name accountability as the one thing they’re worst at. That’s not a coincidence. That’s a training gap hiding in plain sight.

The exact behaviors that build it

In the REAL Leadership Development Framework, you don’t start with the value. You start with the business problem — here, work slipping through the cracks and no one naming it — and then you find the exact handful of behaviors that fix it. For accountability, it’s five. None of them require a personality transplant. All of them require reps.

Set the expectation out loud, specific and dated. Not “let’s get this tightened up soon.” Instead: “By Thursday end of day, the deck has the three revenue scenarios and the recommendation slide.” Vague expectations can’t be missed or met. Most accountability failures are really clarity failures that showed up late.

Name the gap early and small. The moment something slips, say so — quietly, that day, not banked for the quarterly review. “The Tuesday draft didn’t come through. What happened?” A small gap named early is a five-minute conversation. The same gap saved for later becomes a confrontation, which is exactly why managers avoid it.

Keep it about the standard, not the person. “The report went out with errors” — not “you’re careless.” The behavior and the bar, never the character. This is the move that lets you be direct without it turning personal, and it’s the one that takes the most rehearsal to make automatic.

Land on a clear next commitment. Every accountability conversation ends the same way: what will happen, by when, and when you’ll check back. “So the revised version lands Friday morning, and we’ll review at 11.” No ambiguity walks out of the room.

Close the loop both directions. When the bar gets met, say so. Accountability that only ever shows up as criticism dies fast — people learn the conversation is always bad news. Naming what got delivered well is what makes the standard feel fair instead of punitive.

Five behaviors. Plain enough to read in a minute. That’s the trap.

The honest part

None of this is new advice. You’ve heard “set clear expectations” a hundred times. If reading it were enough, the Gallup number wouldn’t be last place.

The gap was never information. It’s reps. A manager can fully understand “name the gap early” and still freeze when a strong performer they like misses a commitment — because understanding a behavior and having run it twenty times are different things. The first time you keep a hard conversation on the standard instead of the person, it feels mechanical and a little stiff. The tenth time, it’s just how you talk. That’s not knowledge work. That’s practice. Real scenarios, repeated, until the move holds under pressure — because pressure is the only place accountability ever actually gets tested.

The close

Accountability isn’t a value you declare. It’s a behavior you rehearse until it feels natural.

The leaders who build it aren’t braver than the ones who don’t. They’ve just practiced the exact moves — out loud, on real situations — until naming a missed expectation stops feeling like a fight and starts feeling like the job.

This is the work I do with management teams: take the skill everyone rates as their weakest, break it into behaviors you can actually run, and drill them on real scenarios until they stick. If your managers know they should hold the line and still don’t, that’s not a character flaw. It’s an untrained muscle.

So here’s the question to sit with this week: what’s the one expectation on your team that everybody senses is being missed — and nobody has said out loud yet?

The Employee Who Didn’t Quit

Editorial title card reading "The Employee Who Didn't Quit" — engagement and retention

The most dangerous disengagement on your team isn’t the person who quit. It’s the one who didn’t.

They still show up. Still hit most of their deadlines. Still nod in the meeting. But the spark is gone, the ideas have stopped, and they’re running on a quiet kind of autopilot that no dashboard will catch until it’s too late. There’s a name for it now — “quiet cracking” — and it’s becoming the defining engagement story of the year.

What quiet cracking actually is

Quiet cracking is the slow fade. Not a dramatic exit, not a loud complaint. It’s an employee who feels stuck, unseen, or unsure where they stand, and who copes by shrinking — doing less, risking less, caring less — while staying right where they are. Often they stay because the job market feels uncertain and leaving feels riskier than fading.

One widely-cited 2025 survey found that more than half of U.S. employees — around 54 percent — had experienced some form of it, with one in five feeling it frequently or constantly. And here’s the line that should stop every manager cold: nearly half of the people experiencing it said their leaders don’t listen to their concerns.

Read that again. The problem isn’t that people have no concerns. It’s that the concerns never reach a manager who’s actually listening.

It’s not a perks problem

When engagement numbers slip, the reflex is to reach for programs. A new recognition platform. A wellness stipend. A revamped survey with better questions. All fine. None of them fix quiet cracking, because quiet cracking doesn’t happen in a program. It happens in the small moments a manager misses.

The check-in that became a status update. The “how are you doing?” that didn’t wait for a real answer. The good idea that got a quick “let’s circle back” and never came back. The person who tested the water with a small concern, watched nothing happen, and quietly decided not to bother again.

It’s not a perks problem. It’s a noticing problem. And noticing — real noticing, the kind that catches the fade early and does something about it — is not a personality trait some managers are born with. It’s a behavior. Which means it can be practiced.

What I’d actually train managers to do

This is the work I do with management teams, and the method is always the same. Start with the real business problem — good people quietly checking out and eventually walking, taking their knowledge and their relationships with them. Then find the exact behaviors that catch it early, and practice them until they’re automatic. It’s the REAL Leadership Development Framework applied to the thing dashboards can’t see.

Notice the change, not the level. Most managers wait for someone to be visibly struggling. Too late. Train the eye for the delta: the person who used to push back and now agrees with everything. The one whose camera used to be on. The ideas that stopped. Quiet cracking shows up as a change in pattern long before it shows up in performance.

Run the 1-on-1 as a listening session, not a status meeting. If your update could have been an email, you wasted the most valuable thirty minutes you get with that person. Practice one question — “What’s something that’s been frustrating you that I might not know about?” — then do the hard part: stay quiet. Don’t fix, don’t defend, don’t fill the silence. Most managers can’t last five seconds. The whole signal lives in those five seconds.

Close the loop, visibly. The fastest way to teach someone their voice doesn’t matter is to ask for it and then do nothing. The fastest way to rebuild trust is the opposite: take one concern they raised and act on it where they can see it. “You mentioned the handoffs were chaotic — here’s what we changed.” Do that once and you’ve shown the whole team that speaking up moves something.

None of these are complicated. That’s exactly the point.

The honest part

A manager reading this already knows they should listen more. They know the 1-on-1 shouldn’t be a status update. They know they should follow up. Knowing was never the gap. Doing it — consistently, when the calendar is full and the easy move is to skip the real conversation — is the gap.

That’s why a workshop on “active listening” changes nothing on Monday. You don’t build the muscle by being told it exists. You build it the way you build any skill: by rehearsing the exact moment — the 1-on-1 where someone goes quiet, the concern you’d rather not hear — on real scenarios, again and again, until the right move feels natural under pressure.

The companies losing their best people this year mostly won’t see it coming. The fade is silent by design. But it’s not invisible to a manager who’s been trained to look — and trained to respond before the resignation, not after.

If your managers are watching good people quietly check out and not sure what to do about it, that’s exactly the work I help teams build. Let’s talk.

When was the last time someone on your team told you something hard — and what did you actually do with it?

The Manager AI Can’t Replace

Editorial title card reading "The Manager AI Can't Replace" — leadership in the age of AI

Everyone is busy automating the manager’s job. Almost no one is upgrading the part of it that can’t be automated.

That’s the mistake hiding inside this year’s biggest workplace story. AI is taking the tasks — the status reports, the first-draft plans, the work-tracking, the busywork that used to fill a manager’s calendar. Gartner has predicted that through 2026, one in five organizations will use AI to flatten their structure and cut more than half of their middle-management roles. Read that as a threat if you want. I read it as a spotlight. When the tasks disappear, what’s left is the actual job — and most managers were never trained to do it.

The tasks were never the job

For thirty years we promoted people into management for being the best at the work, then handed them a calendar full of coordination and called that leadership. Check the project. Chase the update. Approve the thing. Route the question. It felt like managing. It was mostly traffic control.

AI does traffic control better than we do. It doesn’t forget, doesn’t play favorites, doesn’t need a 1-on-1 to surface a blocker. So the supervisor-of-tasks manager is genuinely going away, and pretending otherwise won’t help anyone.

But look at what AI hands back to the manager. The tense conversation nobody wants to start. The talented engineer who’s quietly checked out. The two senior people who won’t say in the room what they say in the hallway. The decision with no clean answer that someone has to own anyway. The team that ships on time and trusts each other zero percent.

That’s the work that doesn’t automate. And it’s exactly the work most managers avoid — not because they’re lazy, but because no one ever taught them how to do it on purpose.

It’s not a knowledge problem

Here’s where most companies respond wrong. A consultant tells them AI is reshaping management, so they buy a workshop on “leading in the age of AI.” Everyone nods. Slides about empathy and adaptability. A model with four quadrants. Useful advice. Zero behavior change.

Because the gap was never knowledge. Your managers already know they should have the hard conversation sooner. They know they should listen more than they talk. They know they shouldn’t be the bottleneck. Knowing isn’t the problem. Doing it — in the actual moment, with a real person, when it’s uncomfortable and the stakes are real — is the problem.

You don’t fix a doing problem with more telling. You fix it the way you’d fix a free throw or a sales pitch or a difficult negotiation. You practice the exact move, on a real scenario, until it holds under pressure.

What I’d actually build right now

This is the work I do with management teams, and the method doesn’t change just because AI entered the room. It’s what I call the REAL Leadership Development Framework, and it starts with the business problem, not the buzzword.

Start with the real problem, named plainly. Not “we need better leaders.” Something concrete: our managers wait too long to address underperformance, so good people carry the slack and eventually leave. If you can’t say the problem in one sentence, you’re not ready to train against it.

Find the exact three to five behaviors that fix it. For the problem above, it might be: spotting the early signal, opening the conversation within a week instead of a quarter, being specific about the gap without making it personal, and agreeing on a concrete next step. Not values. Not mindsets. Observable behaviors you could watch someone do.

Practice those behaviors on real scenarios — repeatedly. Use the actual situations sitting in your managers’ inboxes right now. Run the conversation out loud. Get it wrong. Run it again. The reps are the whole point. A behavior you’ve rehearsed five times feels available when the real moment arrives. A behavior you only read about does not.

Then put AI to work on the right side of the line. Let it draft the agenda, summarize the thread, surface the data, prep the brief. That’s a gift — it clears the desk so the manager has room to do the human work they just practiced. The tool and the training point the same direction: less time supervising tasks, more capacity to lead people.

The honest part

None of this is new advice, and I won’t pretend it is. Leaders have always needed candor and judgment and the nerve to have the conversation. What’s new is the cost of skipping it. When AI absorbs the busywork, there’s no longer any hiding inside a full calendar. The manager who can only coordinate has nothing left to coordinate. The manager who can lead the humans the tools can’t touch becomes the most valuable person in the building.

So the question for the next two years isn’t whether AI will change management. It’s already happening. The question is whether your managers will be left holding only the work that automates — or whether they’ll have actually built the muscle for the work that doesn’t.

That muscle isn’t bought in a one-day workshop. It’s built in reps, on real work, until it feels natural. If your managers are staring at a job that’s quietly changing under them, that’s exactly the work I help teams build. Let’s talk.

What’s one leadership behavior your managers know they should do — but still don’t do when it counts?

How to Know If Your Leadership Training Is Actually Working (Before the Year-End Review)

How to Know If Your Leadership Training Is Actually Working (Before the Year-End Review)

Most companies find out their leadership training didn’t work the same way they find out a roof is leaking — when the damage is already visible.

By the time team performance data reflects a training failure, months have passed. Projects have slipped. Good people have left. Managers are back to old habits and the organization is planning another round of training to fix the problems the last one didn’t solve.

There’s a better way to evaluate training — and it doesn’t require waiting for the year-end review to find out you spent the budget on the wrong thing.

The metric most companies use (and why it’s misleading)

Post-training satisfaction surveys are the most common evaluation tool in corporate learning. They’re also the least useful. A score of 4.7 out of 5 tells you that managers enjoyed the session. It tells you nothing about whether they changed any behavior at work.

Completion rates have the same problem. A 100% completion rate on a training module means every manager watched the video or sat through the session. It does not mean any of them did anything differently the following week.

The question isn’t “did managers attend the training?” The question is “what are managers doing differently now — and is that change producing a better business result?” Those are two completely different evaluations.

What effective training evaluation actually looks like

Effective evaluation starts before the training is designed, not after it’s delivered. It begins by defining exactly which behaviors need to change and which business metric will move if those behaviors change consistently.

For example: if the business problem is poor team accountability, the target behaviors might include managers holding weekly one-on-ones with clear action items, providing direct feedback within 48 hours of a missed commitment, and escalating only when genuinely necessary. Each of these behaviors is observable. Each can be tracked. And their combined impact on team accountability is measurable.

Weak evaluation: “Did managers complete the training?” Satisfaction scores. Attendance rates. No connection to business data.

Strong evaluation: “Did the target behaviors change? Did the business metric move? Can we connect the two?” Observable. Measurable. Defensible.

Early signals to watch in the first 30 days

You don’t have to wait for quarterly results to see whether training is working. Within the first month, look for early behavioral indicators: Are managers using the specific language and frameworks from the training in their team conversations? Are they making decisions they were previously escalating? Are their one-on-ones more structured and outcome-focused than before?

These behavioral signals are visible early. They tell you whether the training is transferring into real work — and if it isn’t, they give you enough time to intervene before the business results reflect the gap.

The REAL Framework builds this kind of evaluation into the design from the start. The business problem defines the behavioral targets. The behavioral targets define what success looks like. And success is measured not by what managers learned in the training room, but by what they do differently when they get back to work.

Training that can’t be measured isn’t a development investment. It’s a very expensive act of optimism.

Closing question: Right now, could you name the three specific manager behaviors your last training was designed to change — and show data on whether any of them actually changed?


Recommended reading from jordanimutan.com:

  1. Why Your Leadership Training Isn’t Working (And What To Do Instead)
    jordanimutan.com/why-your-leadership-training-is-not-working/
  2. Your Organization Sent Everyone to a Training Last Year. So Why Does It Still Feel Like Nobody Learned Anything?
    jordanimutan.com/2026/06/04/your-organization-sent-everyone-to-a-training-last-year-so-why-does-it-still-feel-like-nobody-learned-anything/
  3. Congratulations on Your Promotion. Here Are 12 People Who Report to You. Good Luck. We’ll Check Back in Six Months.
    jordanimutan.com/2026/06/02/congratulations-on-your-promotion-here-are-12-people-who-report-to-you-good-luck-well-check-back-in-six-months/