The Role Of Trust

💡 Trust is what happens between the meetings. Not in the agenda. Not in the slides. It’s built in the tiny moments—the hallway chats, the “how’s your dad doing?” check-ins, the post-call laughs. That’s where culture quietly compounds. Remote teams don’t get those moments by accident; you have to engineer them. ✅ Create space for non-work huddles ✅ Check in just to say hi ✅ Celebrate people when no one’s asking you to Because trust isn’t a value on the wall. It’s the feeling people have when the meeting’s over.

Clinicians don’t trust your HealthTech product. And they’re right not to. You think you’re selling innovation. But they’re seeing liability. When a doctor uses your product, they’re not just clicking a button. They’re staking their license, reputation, and someone’s life on a tool they didn’t build… Made by someone who’s never stepped inside an operating theatre. This is the Clinical Trust Chasm. Most HealthTech companies never cross it. They win pilots, not trust. Investors, not integration. Press, not protocols. Trust in medicine isn’t earned with features. It’s earned with consequences. Ask any surgeon why they use a specific tool. It’s not because it’s cutting-edge. It’s because it’s predictable under pressure. They’ve seen it fail, and seen what happens next. They know it's blind spots. They know when not to use it. You can’t shortcut that with UI polish and a few endorsements. If you want your HealthTech product to be adopted, not just trialled: You have to reverse the trust equation. Here’s how I’ve seen it work: - Put the clinician in control - Stop “automating decisions”. Start augmenting judgement. - Build fail-safes, override paths, audit trails. Trust starts when you acknowledge what you don’t know. Design for blame Assume someone will get hurt using your product. Will they say: “We knew this tool. We trusted it. We stood by it.” Or: “They promised it would work.” Over-communicate uncertainty No one’s ever said, “That medical device was too transparent.” Show the confidence intervals. Flag the edge cases. Clinicians are trained to work with ambiguity, just not surprise. Many HealthTech founders think clinicians are “resistant to change”. IMO they’re not. They’re allergic to risk they didn’t consent to. They don’t need to understand your model. They need to understand how it breaks, and what happens when it does. Build for that moment. That’s where real adoption begins.

Trust isn’t something you get to claim anymore. In 2025, people want proof. And the proof reveals a serious problem because here’s what PwC’s latest Trust Survey shows: - 90% of executives believe customers trust their company. Only 30% of customers actually do. - Inside organisations, 86% of executives think employee trust is high. Only 67% of employees agree. And the gap’s not closing… it’s widening year on year. If that's not a warning light flashing on your leadership dashboard, I'm not sure what is! Paul Zak's research published in HBR (h/t to Darren Shand ONZM for the share), shows trust is a neurological state - powered by oxytocin, the brain chemical behind connection, belonging, and psychological safety. That chemistry doesn’t kick in just because you’ve got a nice mission statement. It happens when people can see consistency between what you say and what you do. When your values show up in your everyday decisions, not just your annual report. So here’s the leadership challenge: How are you making trust visible? How are you turning your values into something people can experience, not just hear? I shared four practical ways to close the trust gap in this week’s #LoveMondays (link below if you’d like a read👇). https://lnkd.in/gCgm4TQq Would love to know - what’s something you’ve done, seen, or experienced that earned real trust? Image: PwC 2024 Trust Survey

Here’s the truth: people don’t buy features. They buy trust. Neuroscience shows that before we even notice product specs, our brains are scanning for warmth, intent, and credibility. Social psychology confirms it: we size people up as “friend or foe” long before we judge their competence. And emotional connection? It consistently outweighs rational features when it comes to decisions. This is why we inherently trust recommendations from people we know more than messages from companies. Word-of-mouth, brand love, and consistent messaging create trust that transfers from personal relationships to commercial decisions. In B2B, this is even more critical. Buyers make decisions based on relationships. CEO visibility, authentic storytelling, and personal brand signals can shape trust long before a conversation about your product even begins. For Human Consumption Only by Marketing Essentials Lab ® isn’t about celebrating irrationality — it’s about decoding it. It’s your guide to the human truths that really drive attention, trust, and action. Because marketing isn’t built for machines, it’s built for humans. And humans? We trust people, not features.

𝐌𝐨𝐬𝐭 𝐩𝐞𝐨𝐩𝐥𝐞 𝐬𝐚𝐲 𝐭𝐡𝐞𝐲 𝐭𝐫𝐮𝐬𝐭 𝐞𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞. 𝐈𝐧 𝐫𝐞𝐚𝐥𝐢𝐭𝐲, 𝐭𝐫𝐮𝐬𝐭 𝐢𝐬 𝐛𝐮𝐢𝐥𝐭 𝐰𝐡𝐞𝐧 𝐲𝐨𝐮 𝐬𝐞𝐞 𝐡𝐨𝐰 𝐬𝐨𝐦𝐞𝐨𝐧𝐞 𝐭𝐡𝐢𝐧𝐤𝐬 𝐮𝐧𝐝𝐞𝐫 𝐩𝐫𝐞𝐬𝐬𝐮𝐫𝐞. After working with more than 250 professionals, I’ve noticed a pattern: trust doesn’t form when someone shares a polished idea. It forms when things are unclear, uncertain, or uncomfortable and you see how they respond. I once worked with a founder in real estate. Strong experience, good market understanding, active on LinkedIn. But their content felt inconsistent. One week confident, the next reactive to trends. Sometimes original, sometimes borrowed. No clear pattern. So I asked: If the market changes tomorrow, what would you still believe that others might disagree with? That question didn’t test knowledge. It revealed conviction. We shifted from posting more to thinking more clearly. From reacting to trends to defining beliefs rooted in experience, patterns in deals, negotiations, client behavior that most people overlook. Within weeks, engagement changed. Not just likes, but questions, challenges, discussions. And over time, people kept coming back. That’s when trust becomes visible. Because trust isn’t built when you sound right. It’s built when people understand how you arrive at what you say. Most professionals focus on conclusions. But people don’t trust conclusions. They trust reasoning. They want to see how you think when things aren’t obvious. How you handle uncertainty. Whether your perspective stays steady or shifts with every trend. That’s what makes someone reliable. My answer: 𝐈 𝐭𝐫𝐮𝐬𝐭 𝐩𝐞𝐨𝐩𝐥𝐞 𝐰𝐡𝐨𝐬𝐞 𝐭𝐡𝐢𝐧𝐤𝐢𝐧𝐠 𝐫𝐞𝐦𝐚𝐢𝐧𝐬 𝐜𝐥𝐞𝐚𝐫 𝐚𝐧𝐝 𝐜𝐨𝐧𝐬𝐢𝐬𝐭𝐞𝐧𝐭, 𝐞𝐯𝐞𝐧 𝐰𝐡𝐞𝐧 𝐭𝐡𝐞 𝐬𝐢𝐭𝐮𝐚𝐭𝐢𝐨𝐧 𝐢𝐬 𝐧𝐨𝐭. Because anyone can sound smart when things are easy. 𝐕𝐞𝐫𝐲 𝐟𝐞𝐰 𝐫𝐞𝐦𝐚𝐢𝐧 𝐜𝐥𝐞𝐚𝐫 𝐰𝐡𝐞𝐧 𝐭𝐡𝐢𝐧𝐠𝐬 𝐚𝐫𝐞 𝐜𝐨𝐦𝐩𝐥𝐞𝐱. 𝐀𝐧𝐝 𝐢𝐧 𝐚 𝐰𝐨𝐫𝐥𝐝 𝐰𝐡𝐞𝐫𝐞 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐢𝐬 𝐞𝐚𝐬𝐲 𝐭𝐨 𝐜𝐫𝐞𝐚𝐭𝐞, 𝐜𝐥𝐚𝐫𝐢𝐭𝐲 𝐮𝐧𝐝𝐞𝐫 𝐮𝐧𝐜𝐞𝐫𝐭𝐚𝐢𝐧𝐭𝐲 𝐢𝐬 𝐭𝐡𝐞 𝐫𝐞𝐚𝐥 𝐬𝐢𝐠𝐧𝐚𝐥 𝐨𝐟 𝐞𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞. #OneThingToKnow : Trust is built when you stand by your thinking even when it goes against the trend. LinkedIn News India LinkedIn Guide to Creating #PersonalBranding #Leadership #FutureOfWork

Trust in technology is not about making systems look friendly or adding more explanations. It is about how people decide to rely on something when there is uncertainty. In human computer interaction, trust is a judgment users make. It is shaped by expectations, experience, social cues, perceived control, and context. The same system can be trusted in one situation and distrusted in another. That is why trust is so hard to design and so easy to break. Research shows that users do not trust systems for a single reason. Sometimes trust comes from reasoning. Does this system behave consistently? Does it do what I expect? Other times trust comes from feeling. Does this interface feel human, present, or socially responsive? In many cases trust is social. If people I trust rely on this system, I am more likely to trust it too. There are also moments where trust collapses. When users feel forced, manipulated, or stripped of control, distrust appears even if the system is accurate. When early experiences violate expectations, trust erodes fast and rarely recovers on its own. One of the most important insights is that trust is dynamic. It builds slowly through repeated positive interactions and can disappear quickly after a single negative one. Designing for trust is not about maximizing trust. It is about supporting appropriate trust. Helping users know when to rely on a system and when not to. For AI, automation, and complex digital products, this matters more than ever. Overtrust is just as dangerous as distrust. Good design respects user agency, supports understanding, and stays honest about limitations. Trust is not a feature you add at the end. It is an outcome of how the entire system behaves over time.

What if trust isn’t something you ask for or earn—but something that emerges when people feel safe enough to align? Trust is often described as a value, a belief, or a moral commitment. Leaders are encouraged to build it through transparency, consistency, and good intentions. Yet in many organizations, trust remains fragile even when these principles are sincerely applied. This article reframes trust as a physiological and relational phenomenon rather than an abstract ideal. Drawing on coherence principles, it explores how trust forms when nervous systems experience safety, predictability, and alignment—and why performance accelerates when trust is treated as a condition to be stewarded rather than a behavior to be demanded.

Trust is often described as a product of warmth, credibility, honesty, or shared values. These elements influence trust, but they do not create it. Trust forms when one person can reliably anticipate how another interprets events. ✨People do not primarily seek behavioral predictability; they seek interpretive predictability. When leaders model how they make sense of situations, it builds confidence and reassurance, even during disagreements. If others cannot anticipate your reasoning pattern, uncertainty persists despite good intentions and truthful statements.✨This is why competence alone frequently fails to produce trust. An expert may provide correct answers but apply inconsistent interpretive frames across situations. To others, this feels unstable. The person is capable yet cognitively unpredictable. The stability of the reasoning architecture matters more than the accuracy of isolated judgments.✨In relationships and leadership, loyalty forms around individuals whose perception patterns are learnable and can be developed through consistent communication. People follow those whose thinking can be anticipated because anticipation reduces mental overload. When people understand how another arrives at conclusions, they feel oriented within the environment that person creates. This enhances trust over time.✨Trust grows not from repeatedly asserting positions but from revealing the process that generated them. When reasoning is shared, people begin to connect more deeply and with trust because they understand there's logic behind outcomes.✨Trust is not belief in character: It is confidence in a stable perception pattern, which provides a sense of security and stability for those who want to follow a leader. ✨ © Dian Griesel 2026 Perception Dynamics Inc. #predictability #predictiveleadership #behavioralpredictability #leadership

Trust seems like a logical equation. If a company is genuinely trustworthy and fully transparent, then people should trust them. That’s how it ought to work, right? But that isn’t how it works in real life with real people. Those of us in #agriculture operate in a low-trust environment, and our industry’s response has been painfully predictable: “We’re trustworthy.” “You’re trusted partner.” “We’re transparent.” “Ag needs to tell our side of the story.” And yet every time we try to prove we’re credible, we somehow look less credible. Viktor Frankl warned that success and happiness cannot be pursued; they must ensue as the unintended side effect of pursuing something meaningful. Trust follows the same rule. Trust isn’t built by insisting you deserve it, it emerges when you behave in ways that make trusting you feel natural, almost inevitable. But in agriculture, we try to win trust head-on. We think if we say it loudly enough, the market will finally believe us. It hasn’t worked. It isn’t working. And it won’t work. Because trust is not a direct outcome. It’s an orthogonal one. A side effect. A trailing indicator of work that actually matters. Trust shows up when you stop performing “authenticity” and start delivering value that removes friction from someone’s day. So instead of asking: “How do we convince growers we’re honest?” or “How do we get people to hear our story?” The more productive question is: “What meaningful change are we willing to create that would make trust the only reasonable conclusion for our customers?” When you solve a real problem. When you make life easier for a grower, when you deliver clarity in a world full of noise, when your actions consistently outrun your claims, then trust arrives quietly on its own. Not because you demanded it. But because you made it obvious. Trust must ensue. It can’t be manipulated. Make something different. Make people care. Make fans, not followers. #agtech #agricultureandfarming