Category: AI Coaching

How companies use the Enneagram and AI to develop leaders

Reading Time: 5 minutesI have sat in a lot of Enneagram debriefs. The good ones are genuinely moving. Senior leaders see something about themselves they hadn’t been able to name before. Two people who have been in conflict for a year suddenly understand what’s been happening between them. People walk out talking about types and triads and integration arrows like they just discovered a new language. The 1:1s for a few weeks run a little differently. People start sentences with “as a Type 8, I tend to…” Then quarter-end hits. The framework gets crowded out by the actual work. Within another few weeks, type talk dies out — except in the email signatures of the leaders who got most into it. Six months in, the company has spent real money on certified practitioners, off-site time, and assessment licenses. And a head of talent development, looking at retention data or 360 feedback, can’t honestly tell you whether any of it changed how leaders show up. I don’t think this is a problem with the Enneagram. The framework is excellent and it holds up under serious scrutiny. I think the problem is what we ask leaders to do with it after the workshop ends Get the 2026 AI coaching playbook for talent development to accelerate team performance. Most companies treat Enneagram training as an event, not a system Most Enneagram leadership programs are built around discrete moments — the annual offsite, the 90-day new-manager training, the quarterly leadership lunch. Those cadences make sense for the calendar of an L&D team. They have nothing to do with the cadence at which a manager actually needs the insight. The manager needs it Tuesday at 9:50, before the 1:1 with the direct report whose work just got publicly questioned. They need it Thursday afternoon, before they reply to the cross-functional partner who has been pushing back. They need it during the talent review, when they’re trying to articulate why a high performer doesn’t seem ready for the next role — and the answer has more to do with type-driven blind spots than performance. Tasha Eurich’s research on self-awareness makes the related point: the gap between how self-aware people think they are and how self-aware they actually are closes only when feedback is timely, specific, and tied to a real situation. A workshop debrief is none of those things by Tuesday morning. The leaders who shift their behavior are the ones whose self-awareness gets refreshed at the moment it matters. See How Cloverleaf’s AI Coach Works Try a Demo Request A Cloverleaf Coach Demo Five places to make Enneagram insight available for leaders 1. Before the 1:1, when the manager is figuring out how to open the meeting. A Type 2 direct report whose recent work has been criticized in front of the team often needs the conversation to start with what they’re contributing — before the manager raises the gap. A Type 5 typically needs space to process, not a rapid-fire check-in. A Type 8 usually wants the issue named directly, and gets disengaged when their manager dances around it. Every Enneagram practitioner knows this in the abstract. What changes manager behavior is a calendar-aware prompt ten minutes before the meeting that names the specific direct report, surfaces their type, and suggests an opening line. That’s what in-the-flow-of-work coaching actually means. Not when someone remembers to log in. In the flow of work. 2. Before written feedback, when the wording helps influence whether it lands or backfires A manager who has been told that Type 4s are “sensitive to authenticity” will sometimes pad the feedback with so much qualification that the substance gets lost. Or second-guess sending it at all. The fix isn’t more abstract knowledge of types. It’s a coaching layer that sits in the Workday review form the manager is already writing in — and offers two or three concrete adjustments to wording at the moment of writing. 3. During team conflict, when triad imbalance could be what’s actually driving the argument. Team conflict on a leadership team usually shows up as a content disagreement — about strategy, scope, or hiring. Underneath, it can be a triad imbalance. Three Gut types and one Head type can steamroll a strategic question that needs a slower, more analytic conversation. Three Heart types and one Gut type can spend too long on whether everyone feels heard before naming what actually has to change. Most leadership teams never see their own triad map. When they do, the conversation about what’s happening in the room often shifts in five minutes — and that data has to be in the room, not in a binder somewhere. 4. Between talent reviews, when type-aware readiness signals can show up before the missed promotion. A high-performing Type 3 director may be objectively ready by every output metric and still six months from being ready for a VP role — because their default mode under stress can be to win the conversation rather than build consensus. A Type 9 senior manager may have everyone’s trust and still be passed over because the readiness gap is decision velocity. These signals are often visible in the type pattern long before they’re visible in the 360. Companies that get behavior change pull them into the talent review, where they become a development plan instead of a post-mortem. 5. In the daily flow of work, where the insight has to live or it doesn’t live at all. For most leadership teams now, that means Microsoft Teams or Slack, Outlook or Google Calendar, the performance-review tool, and the HRIS — and very specifically not the LMS. Where Cloverleaf’s view differs from most Enneagram-only approaches Type alone is a starting point. The Enneagram tells you that your Type 8 director is motivated by autonomy. That’s useful. It doesn’t tell you, on a Tuesday morning, that this particular Type 8 director communicates best in writing and is three weeks into a high-stakes project that’s running over. Cloverleaf’s view, refined across customer deployments,

what is a coaching leadership style

Why manager training isn’t moving the leadership ceiling

Reading Time: 7 minutesFor most of my career, I assumed the difference between a manager whose team grew and a manager whose team plateaued came down to skill. I spent 15 years inside large organizations — Arthur Andersen first, then a decade at an insurance company — and the implicit theory of leadership development was always the same: build the right competencies, the ceiling lifts, the team grows. By the end of that run, I’d watched enough programs to know that wasn’t true. The lid most managers hit doesn’t come off when you teach them another framework. It comes off when they get honest about what they’re afraid of. I now spend my days watching this pattern play out at scale. At Cloverleaf, we deliver about 65 million coaching moments a year inside the tools managers already use — email, Slack, Teams — which means we get to see, in close detail, what actually changes behavior and what doesn’t. The curriculum is rarely the variable. The variable is whether the manager has done the personal work that makes the curriculum land, or whether they’ve memorized the vocabulary while still managing from a defensive crouch. This is the gap I want to talk about, because it’s the one most L&D leaders I work with seem to settle for. Knowing the right behavior is not the same as being able to do it when the room gets uncomfortable. And the reason the gap exists is that we’re treating a fear problem with a skills curriculum. Get the 2026 AI coaching playbook to see how organizations are implementing AI coaching at scale. The leadership lid you’ve been training people to break through is the wrong lid John Maxwell’s law of the lid says a leader’s effectiveness sets the ceiling for their team — they can’t outgrow you. Most L&D programs interpret that as a skills statement: develop the leader’s competencies, the lid lifts, the team grows. The data doesn’t bear it out. The 2025 Global Leadership Development Study from Harvard Business Impact found that 75% of organizations rate their own leadership development programs as not very effective, and only 18% say their leaders are “very effective” at achieving business goals. That’s a lot of money buying a curriculum that isn’t moving the lid. The reason isn’t the content. It’s that the lid most managers actually hit isn’t built from missing skills. It’s built from fear. Fear of being seen as not enough. Fear of losing control.Fear of being wrong in front of peers.Fear of giving a hard piece of feedback and watching the relationship fracture. The behaviors L&D works hardest to develop — coaching conversations, delegation, candid feedback, conflict navigation — are exactly the behaviors that fear shuts down first. Skills training can teach the script. It can’t make the manager willing to deliver it. I wrote a book about this called Corporate Bravery, and the central claim was that fear and control are two sides of the same coin. A leader who micromanages isn’t exhibiting a management-style preference; they’re protecting against an outcome they haven’t yet named. Trinity Solutions’ research on micromanagement found that 71% of professionals say it interfered with their performance and 85% say it hurt their morale. Those aren’t skills outcomes. They’re trust outcomes. And the manager who can’t loosen their grip isn’t missing a delegation framework — they’re guarding against something they couldn’t say out loud if you asked. The day I heard my inside voice come out of my mouth I’ll tell you the moment that turned this from theory to lived experience for me. I’d been promoted onto my first peer-leadership team — no longer the leader of my own function, now a teammate of other leaders, each with their own functions and resources to defend. I’d been good at climbing inside my own little functional realm. This was different. I was supposed to operate as one teammate among equals, and I had no playbook for it. In one meeting, I said something out loud that I’d meant to keep as a thought. It wasn’t catastrophic, but it was ugly enough that I noticed it the second it left my mouth. The meeting moved on. I sat with what I’d said for the rest of the day, replayed it, and recognized that it wasn’t a skills problem — I had the skills. It was a mindset problem. I was operating from a fear that being on equal footing meant losing ground, and the fear was leaking out. I now read the team’s silence in that moment as a low-psychological-safety signal — not because the team felt unsafe, but because nobody was practicing the active behavior that safety actually produces. Amy Edmondson’s research defines psychological safety as a shared belief that the team is safe for interpersonal risk-taking. The risk-taking is the point. Without people willing to take it — to flag a teammate’s behavior, name a concern, push back on a decision — psychological safety is just a feeling, not an operating condition. This is where I see most L&D programs miss the second half of the build. They train managers to create safety. They don’t train teams to use it. And the leadership lid stays in place because no one is calling the leader’s fear behaviors what they are. See How Cloverleaf’s AI Coach Works Try a Demo Request A Cloverleaf Coach Demo Why I tell my team I can’t be trusted with pricing There’s a category of decision I do not get to make at Cloverleaf. Pricing. I am the worst at pricing. From very early on, I told the team: do not put me in a pricing conversation. I love to give things away. I cannot be trusted with that. I’m telling you this not because it’s a confession, but because I think it’s a leadership development case study. I’m not describing a skill gap. I’m describing a fear-vulnerable area — a category of decision where my discomfort with conflict and my desire to be

Which personality assessment is right for your leadership team?

Reading Time: 6 minutesI’ve been in this conversation more times than I can count. A TD or L&D leader pulls me aside after a webinar, or messages me, and asks the same question: which personality assessment should we be using with our leaders? DISC? Enneagram? CliftonStrengths? Hogan I’ve stopped answering that question directly. Not because it doesn’t matter — it does — but because it’s almost never the right first question. And I want to tell you why. Here’s the pattern I’ve watched play out for 10 years of building in this space: The assessment runs. The workshop is actually pretty good — people have real conversations, things click that hadn’t clicked before. Managers leave thinking this is going to change how the team works. Six weeks later, the reports are in a folder nobody opens. The 1:1s look exactly the same. Someone quietly asks whether the organization should try a different assessment next year. It’s not the tool. It’s never the tool. According to a DDI webinar poll, 53% of HR and L&D professionals say the top reason personality assessments fail to drive development is “lots of data but no clear next steps.” Read that again. Not “the tool was bad.” Not “people weren’t engaged.” The data existed. Nobody knew what to do with it. There are usually two reasons for that. The first: the assessment was chosen without a clear picture of which specific leadership problem it was designed to solve. The second: even when the right tool was used, the insight had no delivery mechanism to get it from a report into the conversation that needed it. This framework addresses both. Get the 2026 AI coaching playbook for talent development to accelerate team performance. How to choose the right personality assessment for your leadership team 1. Match the assessment to the leadership problem you’re trying to solve The question TD leaders most often ask me is: which assessment is best for leadership teams? The question I wish they’d ask instead is: what specific leadership problem are we trying to solve, and which assessment was built to answer it? Most major personality assessments are valid instruments for what they measure. DISC is not a better or worse tool than the Enneagram in any absolute sense. They were built to measure different things. When a team uses a self-awareness instrument to solve a communication friction problem — or a strengths assessment when they needed to understand how conflict surfaces — they’re not working with a bad tool. They’re working with a MISMATCH between the question they’re asking and what the instrument was designed to answer. So flip the question. It’s not which personality test is best for leadership teams. It’s which test was built to answer the specific leadership question your organization is actually working on. Here’s what that looks like. Not a ranking — a decision framework. Match the instrument to the goal. Goal: build self-awareness in individual leaders The Enneagram and 16 Types (MBTI) are designed for depth of self-understanding — how a person’s motivations, habitual patterns, and stress responses shape their leadership behavior. A manager who has never been able to explain why they shut down under pressure often finds that language in one of these profiles. Use-case boundary: these tools don’t predict how two specific people will interact, or explain observable team behavior. That’s not a flaw. That’s the edge of what they were designed to do. Goal: improve team dynamics and day-to-day interaction DISC is purpose-built for this. It maps observable behavioral tendencies — how someone communicates, responds to conflict, processes urgency — rather than internal psychology. A manager can use DISC to anticipate how a High D and a High C will read the same ambiguous situation differently, or calibrate feedback to someone who needs deliberate processing time vs. someone who wants the bottom line first. DISC doesn’t explain why someone behaves the way they do. It shows how. For team dynamics work, that’s often the more useful data. Goal: identify and activate individual strengths CliftonStrengths (StrengthsFinder) was built for strengths activation, not behavioral mapping. It identifies a person’s dominant talent themes and is designed to anchor development in what someone already does well — not what’s missing. It works well for high-potential programs, for managers who default to gap thinking, and for coaching conversations oriented toward growth. It’s less useful for diagnosing conflict patterns or communication friction — that requires behavioral-tendency data, not strengths data. Goal: executive development and succession planning Hogan assessments — including the Hogan Development Survey, were designed for senior leader development and executive selection. They measure performance-based personality and the derailment risks that emerge under pressure: behaviors that work at one leadership level and become liabilities at the next. For high-stakes succession work or executive coaching, Hogan-class instruments offer the right validity and depth. They’re not the right fit for a broad team rollout. Goal: build emotional intelligence and interpersonal effectiveness Blue EQ measures EQ dimensions directly — self-awareness, empathy, social effectiveness, emotional regulation. For leadership programs that center on relationship quality, psychological safety, or navigating difficult conversations, Blue EQ measures what the program is actually trying to move. It’s not a substitute for a behavioral instrument like DISC. It’s measuring a different dimension of the same person. If you only take one thing from this section, take that: match the tool to the goal. 2. Have a strategy for getting the insight into the flow of work Here’s the part I find harder to say, because I’ve watched incredible organizations run incredible assessments and still end up right back where they started. Even perfect data fails if it has no delivery mechanism after the workshop ends. The forgetting curve tells us why. Research on training retention consistently shows that within a week of a workshop, participants retain as little as 20% of what they learned. Without spaced practice and application in context, assessment insight follows the same curve as any other training content: vivid on the day, mostly gone

The 5 Differences Of A Teams That Use Their DISC Results

Reading Time: 7 minutesThe DISC workshop goes well. The facilitator is good. People recognize themselves in the profiles, laugh at the right moments, and leave with a new vocabulary for why certain relationships have always felt like friction. There is genuine energy in the debrief. Then the quarter moves on. The report ends up on a shared drive. And six months later, the same team dynamics are back — the same conflict patterns, the same communication breakdowns, the same people getting read as difficult. This is not a DISC problem. It is a program design problem. Research consistently shows that the vast majority of organizations with 100 or more employees use behavioral assessments. Most of them do not see lasting change in how their teams actually operate. The gap is not between good assessments and bad ones. It is between teams that treat DISC as a data point and teams that build it into how they work. The five differences below are not theoretical. They are the structural distinctions that separate teams where DISC created a moment of recognition from teams where it changed how they actually function. Get the 2026 AI coaching playbook for talent development to accelerate team performance. 5 things teams understand that make DISC more effective  1. They treat self-awareness as a team output, not an individual exercise Teams that know DISC: everyone understands their own profile.  Teams that use DISC: everyone has a working model of each other. Most DISC programs are designed to help individuals understand themselves better. That is a legitimate goal — and the research on self-awareness validates the stakes. Dr. Tasha Eurich’s decade of research found that while 95% of people believe they are self-aware, the actual figure is closer to 10–15%. Working alongside colleagues who lack self-awareness can cut a team’s chances of success in half, with measurable effects on stress, motivation, and retention. But the research finding most directly relevant to program design is this: individual self-awareness compounds when it becomes shared. A team where one person understands their own operating tendencies is marginally better off. A team where everyone has a working model of how the people around them think — and a common language to name those differences in the moment — operates at a categorically different level. A Korn Ferry study of 6,977 professionals across 486 publicly traded companies found that organizations with self-aware leaders consistently outperformed peers on financial measures. A separate simulation with 300+ leaders found high self-awareness predicted better decision-making, coordination, and conflict resolution at the team level. The unit of change is not the individual profile. It is the shared map. Teams that use DISC design their programs with this in mind. The goal is not for each person to know their own type. It is for the team to know each other well enough to use their differences as information rather than evidence of incompatibility. 2. They depersonalize conflict in real time, not in retrospect Teams that know DISC: they understand style differences in theory.  Teams that use DISC: they name them in the room before the story hardens. Here is how team conflict typically unfolds without a shared behavioral language. A high-Dominance team member sets an aggressive deadline — not to create pressure, but because forward motion is how they are wired. A high-Conscientiousness team member pushes back with detailed questions — not to obstruct, but because rigor is how they protect quality. A high-Steadiness team member absorbs the tension in silence — not because they agree, but because preserving group harmony is what their instincts prioritize. Without shared language, all of this registers as interpersonal friction. The D reads the C as obstructionist. The C reads the D as reckless. The S gets read by both as passive. And the team develops a story about each other that has almost nothing to do with intent and everything to do with operating from different defaults — which is exactly what Carl Jung meant when he said that what we leave unconscious will direct our lives, and we will call it fate. Teams that use DISC have a name for what is happening in that room. Not “why are you being difficult” but “you’re coming at this from a different angle — what’s the risk you’re trying to account for?” The friction does not disappear. But it depersonalizes. And depersonalized friction is something a team can actually work with. This only happens if the shared language is present at the moment of conflict — not recalled from a workshop six months later. Which is what makes the program design question so consequential. See How Cloverleaf’s AI Coach Works Try a Demo Request A Cloverleaf Coach Demo 3. They understand the lens each style sees through — not just the label it carries Teams that know DISC: they can name the four styles.  Teams that use DISC: they can predict the question each style brings into any situation. Most DISC training delivers the taxonomy well. People leave knowing what each letter stands for and which descriptors fit their profile. What it less often conveys is the operational framing that makes DISC usable in real time: each style is, at its core, asking a fundamentally different question whenever it enters a new situation. A Dominance tendency asks: where are we going, and when do we get there? This is the engine of momentum. It keeps teams from over-processing decisions that need to be made and drives accountability to outcomes. Its risk is urgency that creates pressure without realizing it — an internal deadline that the rest of the team treats as a hard commitment. An Influence tendency asks: who is involved, and are they energized? This style builds the coalition that gets work done across boundaries. It keeps teams from becoming insular and sustains the engagement that long initiatives require. Its risk is a preference for being liked that can soften necessary clarity. A Steadiness tendency asks: how does this work, and will it hold

How to measure AI coaching ROI beyond logins to determine value

Reading Time: 8 minutesYour coaching platform tracks logins but your CHRO is asking whether managers are ready to lead Here’s a budget conversation that happens thousands of times a quarter. A Talent Development leader walks in with data on their coaching investment. The slide deck has engagement numbers — 78% logged in, satisfaction is 4.2 out of 5, completion rates are strong. Good metrics. Clean charts. Then the CHRO asks the question: “Are our managers ready to lead their teams through this reorg?” Or the CFO’s version: “Is this coaching spend building feedback capability, or are people just clicking around?” The TD leader has no answer. Not because they don’t care — because the tool they’re using was never designed to answer that question. It was designed to track platform adoption. Logins, clicks, completions. The same metrics you’d use for any SaaS tool. But coaching isn’t software adoption. It’s behavior change. And behavior change requires entirely different instrumentation. Coaching spend is up 17% since 2023, and 67% of L&D leaders still can’t prove it’s changing behavior The numbers are hard to reconcile. The coaching industry generates $5.34 billion in annual revenue, up 17% since 2023, according to the ICF’s 2025 Global Coaching Study. Organizations are increasing coaching budgets. Nearly six in ten coaching clients are now employer-sponsored. The investment side of the equation is accelerating. But the measurement side hasn’t kept up. LinkedIn’s Workplace Learning Report found that 67% of L&D leaders struggle to demonstrate training impact to their executives. Measuring coaching impact remains the single most cited challenge in the ICF’s global study, and it was the top challenge in the 2020 study too. Five years of AI coaching platforms, five years of new analytics tools, and the measurement gap hasn’t closed. The reason is structural, not technical. Coaching platforms measure what’s easy to instrument — platform activity — and present it as if it answers what leadership is asking. But a CHRO asking “are our managers building feedback capability?” and a dashboard showing “78% of users logged in” are operating in two completely different categories of measurement. Get the 2026 AI coaching playbook to see how organizations are implementing AI coaching at scale. Platform analytics and development analytics answer fundamentally different questions When a TD leader reports that 650 people logged into the coaching platform last month, they’re reporting platform analytics. That data tells you the tool is being used. It tells you nothing about what it’s being used for, whether the usage aligns with organizational priorities, or whether anyone’s behavior is changing as a result. This is the category confusion at the heart of coaching measurement. Platform analytics — logins, session completions, feature clicks, time-on-platform — belong in the same bucket as any SaaS adoption metric. They’re useful for product teams. They’re nearly useless for a TD leader sitting across from a CHRO who wants to know whether the leadership pipeline is getting stronger. Development analytics answer a different set of questions entirely: What are people being coached on? Is it aligned with our organizational priorities? Which teams are growing in the areas we need? Where are the gaps we didn’t know about? Are managers building the specific capabilities — feedback, communication clarity, developing others — that we’re accountable for? One L&D leader at a 1,200-person organization captured this gap precisely. Her team had doubled platform adoption in a year, from 300 to 650 active users. Booked out four months for team sessions. By every platform metric, the program was a success. But when she needed to show impact beyond engagement, the only option was emailing her customer success manager and waiting for a custom report. Nothing connected the activity to the outcomes her leadership cared about. This is the default state of coaching measurement across the industry. TD leaders accept it, not because they think it’s sufficient, but because no tool has given them anything in the development analytics category to work with. See How Cloverleaf’s AI Coach Works Try a Demo Request A Cloverleaf Coach Demo Most coaching ROI claims are modeled from benchmarks, not actual measurements from your organization’s coaching data The coaching industry has converged on ROI multipliers as the answer to the measurement challenge. The numbers vary — 6x, 8x, sometimes higher — and they’re published as headline figures to reassure executives that AI coaching is worth the spend. These multipliers are useful for industry-level confidence. They’re less useful when a TD leader needs to answer a specific question about what coaching is doing inside their specific organization. A CHRO asking whether managers are building feedback capability doesn’t need an industry average. They need a read on what’s happening on their team, this quarter. When your CHRO asks whether managers are building feedback capability, the right answer isn’t “coaching has a 6.4x ROI based on industry benchmarks.” The most helpful data can answer: “70% of our coaching interactions in the last quarter focused on leadership growth themes — specifically communication clarity and developing others. The Southeast region’s coaching activity in feedback and recognition is 40% below the company average. And 91% of coached members report practicing the skills they’re working on.” That second answer requires a measurement infrastructure that most coaching platforms haven’t built, one that classifies what coaching is about, not just whether it’s happening. Four categories of coaching measurement that answer the questions your leadership actually asks If platform analytics are the wrong instrument, what should TD leaders be tracking? Based on customer research and the measurement frameworks emerging in organizations that are getting coaching ROI conversations right, four categories move the conversation from “are people using the tool?” to “is coaching building what we need?” 1. Coaching readiness: can people actually receive personalized coaching? Before anything else, measurement starts with infrastructure. Not “did they log in” but “are they set up to receive coaching that’s actually personalized to them?” Do they have assessments completed so coaching can be tailored to their specific communication style and working preferences? Do they have a

Her CEO said “when this fails, let’s talk.” Here’s what changed his mind about AI coaching

Reading Time: 6 minutesKathy Quarles, Head of People at 80 Acres Farms, knew what she was walking into. When she brought the idea of AI coaching to her CEO, the response wasn’t enthusiastic. It wasn’t even neutral. “The comment was, ‘You go ahead and try this. When it fails, let’s talk,’” Kathy recalls. “There was for sure an expectation that this wouldn’t be something that would latch on as a meaningful tool.” If you lead a people function, you’ve heard some version of this. Maybe not that direct — but the skepticism is familiar. Development tools get filed under “fluffy HR programs” that won’t survive contact with the daily rhythm of business. And the skeptics have a point: most of those investments haven’t produced visible results. Not because the content was wrong, but because the evidence of impact never showed up in a way the business could see. What changed this CEO’s mind wasn’t a dashboard or a participation report. It was that people started behaving differently — and the shift was visible enough that the business noticed without being told to look. Get the 2026 AI coaching playbook to see how organizations are implementing AI coaching at scale. 87% of employees believe algorithms give fairer feedback than their managers, and the behavioral research explains why Before the 80 Acres story makes sense, it helps to understand the mechanism behind it. A 2024 Gartner survey of 3,500 employees found that 87% believe algorithms could give fairer feedback than their managers. A separate 2025 study published in Behavioral Sciences went further: when negative feedback came from AI rather than a leader, employees experienced less shame and fewer withdrawal behaviors. The feedback wasn’t softer. The content was the same. But removing the interpersonal weight changed how people received it. This matters because defensiveness is the thing that kills most feedback. A manager delivers a coaching insight. The employee’s first instinct isn’t to absorb it — it’s to evaluate the messenger. Do they have an agenda? Is this fair? Is this personal? When coaching comes from data instead of a person, that entire layer of self-protection drops. What’s left is the actual content of the feedback — and space to decide what to do with it. Kathy saw exactly this. “People became less defensive about the feedback,” she says. “It allowed this sort of free space of non-judgment coaching which was really unique.” Employees described getting a coaching tip in the morning, sitting with it, deciding how to incorporate it into their day — and doing it without someone looking over their shoulder to see if they followed through. That’s not engagement. That’s behavior change. See How Cloverleaf’s AI Coach Works Try a Demo Request A Cloverleaf Coach Demo The behavioral shift that convinced a skeptical CEO happened in Slack threads and hallway conversations, not in a quarterly report 80 Acres Farms is a vertical farming company that had done four acquisitions in 18 months when Kathy introduced AI coaching. New teams, new personalities, new ways of working — and the pressure to integrate fast. The company had used assessments and behavioral workshops before. “Everyone was really excited about it at the time we were doing it,” Kathy says. “And then we all have to go back to our day jobs and we’re super busy. To take the time to think about how those learnings apply in the daily rhythm of things — no one has time for that.” What she observed after introducing coaching that showed up daily — in morning emails, before meetings, in Slack — wasn’t a spike in engagement metrics. It was something harder to manufacture and harder to ignore: people started voluntarily sharing coaching insights with each other. “We’ll share the daily emails we get and send it to someone and say, ‘Cloverleaf called me out this morning — haha,’” Kathy describes. “And just 30 minutes ago, I had an email shared by two of my team members saying, ‘Oh, this is why we balance each other out so well.’ There was constructive feedback on both ends of how people like to do their work.” Think about what this represents. These aren’t people completing a required development activity. They’re voluntarily surfacing their own development areas — and doing it with humor, with openness, without being asked. That’s the kind of behavioral evidence that doesn’t show up in a participation dashboard, but it’s visible to anyone paying attention. Including a skeptical CEO. https://youtu.be/h6UlrPoq9r8 A leader shared a coaching tip about a defensive employee and it proved the data right in real time One of the most concrete moments Kathy described was a leader who received a coaching message about how one of their employees tends to receive feedback — specifically, that the employee often gets defensive. The coaching included guidance on how to approach the conversation differently based on that person’s style. The leader agreed with the insight and shared it directly with the employee. The employee’s response? Defensiveness — exactly what the data predicted. “What’s funny is that we actually saw the feedback that was shared — we lived it then in that moment,” Kathy says. But here’s where the story shifts. The leader pulled back, reread the coaching tips on how this specific employee best receives feedback, adapted their approach, and went back. The second conversation was productive. The employee engaged with the constructive feedback. This is the kind of moment that separates coaching that changes behavior from coaching that generates activity. The leader didn’t just receive an insight — they applied it, watched it fail, recalibrated using assessment-grounded coaching data, and tried again. That loop — insight, application, feedback, adjustment — is behavior change happening in real time. And it didn’t require a workshop, a scheduled session, or a follow-up from HR. The signs coaching is working look like less defensiveness, voluntary vulnerability, and leaders adapting to each person on their team Most organizations try to prove coaching’s value with the metrics they already have: participation rates, completion