Building Trust Methods

Over the last year, I’ve seen many people fall into the same trap: They launch an AI-powered agent (chatbot, assistant, support tool, etc.)… But only track surface-level KPIs — like response time or number of users. That’s not enough. To create AI systems that actually deliver value, we need 𝗵𝗼𝗹𝗶𝘀𝘁𝗶𝗰, 𝗵𝘂𝗺𝗮𝗻-𝗰𝗲𝗻𝘁𝗿𝗶𝗰 𝗺𝗲𝘁𝗿𝗶𝗰𝘀 that reflect: • User trust • Task success • Business impact • Experience quality    This infographic highlights 15 𝘦𝘴𝘴𝘦𝘯𝘵𝘪𝘢𝘭 dimensions to consider: ↳ 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗲 𝗔𝗰𝗰𝘂𝗿𝗮𝗰𝘆 — Are your AI answers actually useful and correct? ↳ 𝗧𝗮𝘀𝗸 𝗖𝗼𝗺𝗽𝗹𝗲𝘁𝗶𝗼𝗻 𝗥𝗮𝘁𝗲 — Can the agent complete full workflows, not just answer trivia? ↳ 𝗟𝗮𝘁𝗲𝗻𝗰𝘆 — Response speed still matters, especially in production. ↳ 𝗨𝘀𝗲𝗿 𝗘𝗻𝗴𝗮𝗴𝗲𝗺𝗲𝗻𝘁 — How often are users returning or interacting meaningfully? ↳ 𝗦𝘂𝗰𝗰𝗲𝘀𝘀 𝗥𝗮𝘁𝗲 — Did the user achieve their goal? This is your north star. ↳ 𝗘𝗿𝗿𝗼𝗿 𝗥𝗮𝘁𝗲 — Irrelevant or wrong responses? That’s friction. ↳ 𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗗𝘂𝗿𝗮𝘁𝗶𝗼𝗻 — Longer isn’t always better — it depends on the goal. ↳ 𝗨𝘀𝗲𝗿 𝗥𝗲𝘁𝗲𝗻𝘁𝗶𝗼𝗻 — Are users coming back 𝘢𝘧𝘵𝘦𝘳 the first experience? ↳ 𝗖𝗼𝘀𝘁 𝗽𝗲𝗿 𝗜𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝗼𝗻 — Especially critical at scale. Budget-wise agents win. ↳ 𝗖𝗼𝗻𝘃𝗲𝗿𝘀𝗮𝘁𝗶𝗼𝗻 𝗗𝗲𝗽𝘁𝗵 — Can the agent handle follow-ups and multi-turn dialogue? ↳ 𝗨𝘀𝗲𝗿 𝗦𝗮𝘁𝗶𝘀𝗳𝗮𝗰𝘁𝗶𝗼𝗻 𝗦𝗰𝗼𝗿𝗲 — Feedback from actual users is gold. ↳ 𝗖𝗼𝗻𝘁𝗲𝘅𝘁𝘂𝗮𝗹 𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴 — Can your AI 𝘳𝘦𝘮𝘦𝘮𝘣𝘦𝘳 𝘢𝘯𝘥 𝘳𝘦𝘧𝘦𝘳 to earlier inputs? ↳ 𝗦𝗰𝗮𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆 — Can it handle volume 𝘸𝘪𝘵𝘩𝘰𝘶𝘵 degrading performance? ↳ 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗥𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹 𝗘𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆 — This is key for RAG-based agents. ↳ 𝗔𝗱𝗮𝗽𝘁𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗦𝗰𝗼𝗿𝗲 — Is your AI learning and improving over time? If you're building or managing AI agents — bookmark this. Whether it's a support bot, GenAI assistant, or a multi-agent system — these are the metrics that will shape real-world success. 𝗗𝗶𝗱 𝗜 𝗺𝗶𝘀𝘀 𝗮𝗻𝘆 𝗰𝗿𝗶𝘁𝗶𝗰𝗮𝗹 𝗼𝗻𝗲𝘀 𝘆𝗼𝘂 𝘂𝘀𝗲 𝗶𝗻 𝘆𝗼𝘂𝗿 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀? Let’s make this list even stronger — drop your thoughts 👇

The Pentagon, 2017. The U.S. defense industrial base was stagnant, built to win the Cold War. Legacy prime contractors operated on cost-plus contracts, incentivizing 10-year timelines and billion-dollar overruns. Lockheed's F-35: 17 years, $1.7 trillion lifecycle cost. Boeing's KC-46: 8 years late, $5 billion over. The bottleneck wasn't technology. It was the trust architecture. The DoD trusted process over performance. Anduril's founders saw an arbitrage opportunity: the Pentagon's procurement model was designed for a low clockspeed world. Palmer Luckey: the wild card genius who'd built the future outside the system, solving VR at Oculus before selling to Facebook for $2 billion. Trae Stephens: the inside man. Founders Fund partner who'd served on Trump's Defense transition team, learned how to sell complex software to government buyers at Palantir. Brian Schimpf: the execution engine. Nearly a decade at Palantir, rising from Forward Deployed Engineer to Director. Together, they assembled the credibility to get into decision rooms. While competitors optimized government relations teams, Anduril removed the need for them. They didn't promise a future system; they showed up with a working one funded by their own capital. Legacy primes move in 5-10 years.  Anduril ships in 5-10 months. Everyone credits the tech.  The real disruption was the trust model, built for velocity. The Moat Isn't Tech. It's the Trust Model. Anduril's advantage isn't what they built. It's what they removed: cost-plus contracts that reward delays, requirements cycles that kill urgency, integration nightmares that fragment systems. Competitors can't copy this without gutting their operating assumptions. The switching costs aren't technical. They're existential. They didn't target a massive DoD program first. They found a customer with an urgent problem: U.S. Customs and Border Protection. They deployed their Sentry Tower on a private Texas ranch and proved it worked: 55 arrests, 982 lbs of contraband in 10 weeks. They didn't sell a proposal; they delivered an outcome. Proof had beaten pedigree. When Microsoft stumbled on the Army's $22 billion IVAS program, the Pentagon handed it to Anduril. The lesson extends beyond defense: every industry has trust models waiting to be arbitraged. All industries hide behind process when performance fails. Every NewCo has a choice: inherit that process, or replace it with outcomes. The companies that win won’t just move faster. They’ll re-architect trust itself - not as a promise, but as a product. Take the beach. Earn the fleet. Redraw the map. (Full case study sent to subscribers)

Here's 7 key metrics every AI PM should track — not just to measure engagement, but to ensure your AI is useful, safe, and trusted. Too often, we focus on DAU or churn… but, especially if you're building conversational products, you need new metrics — ones that capture meaning, depth, and trust. Here’s the framework I use 👇 I used a pyramid because each layer supports the next: without factual, safe foundations, you can’t earn trust or scale responsibly. -The foundation is Model Quality — your AI must be accurate, safe, and fast before anything else matters. -Above that is Interaction Quality — can users have meaningful, multi-turn conversations that feel natural and helpful? -Then comes Trust & Delight — do users enjoy the experience and come back because they trust it? -Higher still is User Value — are people actually achieving their goals faster, easier, and better? - And at the top sits Sustainability — are you doing all of this responsibly and efficiently (revenue / compute $, LTV / CAC)? Success in conversational AI = Useful × Safe × Trusted <><><><><><><><><><> Follow Marily Nika, Ph.D for AI PM education, certifications and insights.

Just got off a call with a founder who's sent 1,000+ cold emails with ZERO responses... Let me ask you something... Have you ever crafted what you thought was the perfect outreach message, only to be met with complete silence? One of my clients (a SaaS founder) just shared their frustrating experience that might sound familiar... They spent weeks perfecting their message, researching prospects, and personalizing every email. The result? Radio silence. Zero responses. Zero meetings. Zero opportunities. And here's what really hurts... Their competitor, with an inferior product, was landing meetings left and right with the same prospects. After analyzing thousands of outreach campaigns, I’ve discovered that trust isn't built through volume - it's built through three specific elements that buyers actually care about. Here are the 3 trust drivers that actually get decision-makers to reply: 1) Social Proof That Matters Stop leading with generic logos. I've found buyers instantly engage when you share specific results from companies in their exact industry. They need to see themselves in your success stories. ✅ POWER MOVE:  Reference a similar company's specific metrics improvement (e.g., "We helped Company X increase their conversion rate by 47% in 60 days") 2) Thought Leadership Signals Your prospects are drowning in "experts." I've tested this extensively - buyers respond when you demonstrate deep industry knowledge through specific insights about their business challenges. ✅POWER MOVE: Share a unique observation about their market position or recent company changes that others missed. 3) Micro-Deliverables This is the game-changer most miss. I've seen response rates triple when founders offer immediate value before asking for anything in return. ✅POWER MOVE: Provide a quick competitive analysis or specific growth opportunity they can implement today, regardless of whether they reply. The data is clear: 89% of cold outreach fails because it focuses on what YOU want instead of what THEY need. These aren't just theories - I've watched these exact strategies transform response rates from 2% to 20%+ across hundreds of campaigns. Here's the real question: How many of these trust drivers are you actually incorporating in your outreach right now? #ColdOutreach #B2BSales #TrustBasedSelling #OutboundMarketing #SalesStrategy

Most teams pick metrics that sound smart… But under the hood, they’re just noisy, slow, misleading, or biased. But today, I'm giving you a framework to avoid that trap. It’s called STEDII and it’s how to choose metrics you can actually trust: — ONE: S — Sensitivity Your metric should be able to detect small but meaningful changes Most good features don’t move numbers by 50%. They move them by 2–5%. If your metric can’t pick up those subtle shifts , you’ll miss real wins. Rule of thumb: - Basic metrics detect 10% changes - Good ones detect 5% - Great ones? 2% The better your metric, the smaller the lift it can detect. But that also means needing more users and better experimental design. — TWO: T — Trustworthiness Ever launch a clearly better feature… but the metric goes down? Happens all the time. Users find what they need faster → Time on site drops Checkout becomes smoother → Session length declines A good metric should reflect actual product value, not just surface-level activity. If metrics move in the opposite direction of user experience, they’re not trustworthy. — THREE: E — Efficiency In experimentation, speed of learning = speed of shipping. Some metrics take months to show signal (LTV, retention curves). Others like Day 2 retention or funnel completion give you insight within days. If your team is waiting weeks to know whether something worked, you're already behind. Use CUPED or proxy metrics to speed up testing windows without sacrificing signal. — FOUR: D — Debuggability A number that moves is nice. A number you can explain why something worked? That’s gold. Break down conversion into funnel steps. Segment by user type, device, geography. A 5% drop means nothing if you don’t know whether it’s: → A mobile bug → A pricing issue → Or just one country behaving differently Debuggability turns your metrics into actual insight. — FIVE: I — Interpretability Your whole team should know what your metric means... And what to do when it changes. If your metric looks like this: Engagement Score = (0.3×PageViews + 0.2×Clicks - 0.1×Bounces + 0.25×ReturnRate)^0.5 You’re not driving action. You’re driving confusion. Keep it simple: Conversion drops → Check checkout flow Bounce rate spikes → Review messaging or speed Retention dips → Fix the week-one experience — SIX: I — Inclusivity Averages lie. Segments tell the truth. A metric that’s “up 5%” could still be hiding this: → Power users: +30% → New users (60% of base): -5% → Mobile users: -10% Look for Simpson’s Paradox. Make sure your “win” isn’t actually a loss for the majority. — To learn all the details, check out my deep dive with Ronny Kohavi, the legend himself: https://lnkd.in/eDWT5bDN

🔥 If your Data Catalog isn’t measured, it’s probably failing. Most data catalogs don’t fail because of technology. They fail because success is never clearly defined. So let’s be blunt. Here’s how you actually know whether your data catalog works. ❌ Vanity metric to forget: “Number of datasets cataloged” ✔️ Metrics that matter: 🔴 1. Do people come back? (Adoption) One login ≠ success. Are users still active after onboarding? Are they searching… or asking Slack instead? If usage drops, your catalog is just expensive documentation. 🔴 2. Is the metadata good enough to trust? Auto-ingested metadata ≠ usable metadata. Do datasets have owners? Are descriptions written for humans? No context = no trust = no usage. 🔴 3. Does it actually save time? If analysts still spend hours “data hunting”, the catalog failed. Can users find the right dataset in minutes? Are the same questions still asked every week? If nothing changes, value is zero. 🔴 4. Who is accountable for the data? “Shared responsibility” usually means “no responsibility”. Is every critical dataset owned? Do stewards respond? Governance starts with naming names. 🔴 5. Can users tell which data is safe to use? Without trust signals, catalogs create confusion — not clarity. Certified datasets Data quality visibility Clear warnings for risky data No signals = no confidence = shadow data. 🔴 6. Is the platform reducing manual effort — or creating more? If stewardship feels like extra work, it won’t scale. How much is automated? Is steward workload increasing or decreasing? If governance doesn’t scale, it dies. 🔴 7. Does the business feel the impact? This is the uncomfortable question. Faster decisions? More reuse? Fewer duplicated datasets? If leadership can’t feel the difference, they won’t fund it. ⚠️ Hard truth: A data catalog is not a compliance tool. It’s not a metadata repository. It’s not a checkbox. It’s a product, and products live or die by adoption, trust, and impact. 💬 Be honest: Which of these KPIs are you actually tracking today?

Trust builds businesses. Lack of it? Kills them quietly. I’ve seen it firsthand in the businesses I coach: You don’t need to shout louder. You need to build deeper trust. Because trust is what transforms: → Visibility into credibility → Content into clients → Buzz into business that lasts And it’s built on what I call the 4 Cs: 1/ Competence → Share insight that moves people, not just fills space. → Give them the how, not just pretty frameworks. → It’s not about being impressive. It’s about being impactful. → Let them feel your expertise before they ever buy. Your clients don’t want more information. They want someone who helps them act. 2/ Conviction → Say what you actually believe. → It’s not about being louder. It’s about being clearer. → People don’t trust experts who play it safe. → Speak to what matters, not just what’s trending. The more grounded I am in what I stand for, the more naturally the right people show up. 3/ Credibility → Story over spotlight. → Teach through what you’ve lived, not just learned. → Share the scars and the solutions. → Position yourself as the guide, not the hero. Your story isn’t baggage. It’s your best trust-building asset, when you own it. 4/ Consistency → Show up even when it’s quiet. → Let your presence build predictability. → Brands are built in patterns, not one-off posts. → Create a rhythm that makes people say: “I knew you’d say that and I trust it.” It’s not about going viral. It’s about becoming recognisable. Reliable. Respected. Because trust isn’t built by chance. It’s built by design and by choice. PS: What’s your focus this quarter? -More reach -Or more resonance? I’d love to hear where you’re at. ♻️Repost to help others build trust

𝗥𝗲𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗜𝗻𝘃𝗲𝘀𝘁𝗼𝗿 𝗖𝗼𝗻𝗳𝗶𝗱𝗲𝗻𝗰𝗲 𝗶𝗻 𝘁𝗵𝗲 𝗖𝗮𝗻𝗻𝗮𝗯𝗶𝘀 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝘆 The cannabis industry has faced tough challenges, with many investments failing to deliver expected returns. Despite this, the sector remains full of potential for businesses that demonstrate discipline, transparency, and a long-term vision. Here are key strategies to regain investor confidence: 𝟭. 𝗧𝗿𝗮𝗻𝘀𝗽𝗮𝗿𝗲𝗻𝗰𝘆 𝗮𝗻𝗱 𝗜𝗻𝘁𝗲𝗴𝗿𝗶𝘁𝘆: Investors value honesty. Acknowledge past failures and share lessons learned. Regular, detailed reporting on costs, margins, and market access plans is crucial. Use third-party audits and certifications, such as GACP and EU GMP, to validate operations. 𝟮. 𝗥𝗲𝗴𝘂𝗹𝗮𝘁𝗼𝗿𝘆 𝗠𝗮𝘀𝘁𝗲𝗿𝘆: Compliance is a cornerstone of success in regulated industries. A clear roadmap for navigating complex regulatory environments reassures investors. Partner with expert advisors to demonstrate strong governance and risk management. 𝟯. 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗘𝘅𝗰𝗲𝗹𝗹𝗲𝗻𝗰𝗲: Avoid overexpansion and focus on producing high-quality products. Efficient operations, cost management, and innovation in genetics and production methods show a commitment to long-term success. 𝟰. 𝗦𝘂𝘀𝘁𝗮𝗶𝗻𝗮𝗯𝗹𝗲 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗠𝗼𝗱𝗲𝗹𝘀: Demonstrate profitability in your core business before pursuing vertical integration. Data-driven forecasts of market demand and revenue help reassure investors. Secure long-term supply or distribution agreements to stabilise cash flow. 𝟱. 𝗦𝘁𝗿𝗼𝗻𝗴 𝗧𝗲𝗮𝗺𝘀 𝗮𝗻𝗱 𝗣𝗮𝗿𝘁𝗻𝗲𝗿𝘀𝗵𝗶𝗽𝘀: Highlight experienced leadership and form an advisory board of industry experts to build credibility. Partnerships with established players or research institutions provide access to expertise and resources. 𝟲. 𝗘𝗦𝗚 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲𝘀: Investors increasingly seek businesses with strong environmental, social, and governance initiatives. Show how your company contributes to sustainability, such as reducing CO2 emissions or engaging with local communities. Strong governance practices, including independent oversight, also enhance trust. 𝟳. 𝗥𝗶𝘀𝗸 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁: Diversify across markets and product categories to reduce exposure. Proactively address risks through hedging, contingency plans, and market adaptability. 𝟴. 𝗘𝗳𝗳𝗲𝗰𝘁𝗶𝘃𝗲 𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻: Educate investors about the unique dynamics of the cannabis industry. Regular updates via reports, webinars, or site visits help maintain trust. Foster dialogue through open channels and build a community of engaged investors. Success in this industry lies in mastering compliance, prioritising quality, and demonstrating a clear path to profitability. With the right approach, the cannabis sector offers significant opportunities for growth and innovation. #CannabisIndustry #InvestorConfidence #MedicalCannabis #Sustainability #ESG #BusinessLeadership #Regulation #Growth #Innovation

Most career advice is about standing out. This is about showing up. Consistently. Predictably. Without drama. Reliability is the most underrated career skill. It's not glamorous. It won't trend on social media. And there's no 'Reliability 101' course. But your career grows at the speed of people's confidence in you. Not your talent. Not your ambition. Not your potential. Your reliability. It’s the quiet skill that opens doors long before titles, certifications, or even experience do. 5 practical ways to build reliability — starting today: 1/ Always Close the Loop When someone asks for something, acknowledge it and follow through. Most careers get derailed not by mistakes, but by silence. 2/ Do What You Say — When You Say It Consistency beats capability. If you commit to less but deliver every time, people will trust you with more. 3/ Communicate Early (Especially When Behind) Falling behind isn’t the problem. Surprising people is. Let others know early — it builds trust. 4/ Create a Personal Operating Rhythm Reliability isn’t innate — it’s engineered. Weekly planning, structured 1:1s, documented decisions. You rise to the level of your systems. 5/ Make Your Work Visible Share progress before you're asked. Visibility doesn’t just build trust — it reinforces your momentum. Reliability won’t get you applause. But it will get you opportunities. It’s not a soft skill — it’s a career advantage. What’s helped 𝘺𝘰𝘶 stay reliable? --- Follow me, tap the (🔔) Omar Halabieh for Leadership and Career posts

𝑹𝒆𝒍𝒊𝒂𝒃𝒊𝒍𝒊𝒕𝒚 𝒊𝒔 𝒕𝒓𝒖𝒔𝒕 𝒊𝒏 𝒓𝒆𝒑𝒆𝒕𝒊𝒕𝒊𝒐𝒏. There was a phase in one of the teams I coached where everything was happening at once — new strategy rollouts, restructuring, and a major client delivery running behind schedule. Everyone was stretched. Everyone was tired. You could sense the tension in the air — short replies, half-finished thoughts, people avoiding eye contact in corridors. And in the middle of all this was 𝒉𝒆𝒓 — a leader who never made big declarations. Quiet. Steady. The kind of person who listens more than she speaks. One evening, after yet another escalation call, people packed their bags silently. Someone muttered, “I don’t even know where to start tomorrow.” She simply said, “It’s okay. I’ll pull the pieces together tonight. We’ll pick up from there in the morning.” No drama. No resentment. No spotlight. She stayed back, reorganized the tasks, followed up with the client at 10:45 PM. And at 7:15 AM, the team had a message: “Here’s the plan. We’ve got a path forward. Let’s do this together.” Nobody asked her to. Nobody celebrated it. But everyone felt 𝒔𝒂𝒇𝒆𝒓 because of it. Not because she was the loudest voice or the smartest in the room. But because when things were shaky, she was solid. Every single time. That’s 𝑹𝒆𝒍𝒊𝒂𝒃𝒊𝒍𝒊𝒕𝒚. Not inspirational speeches. Not hero moves. Just showing up — consistently — especially when it’s hard. 𝗞𝗲𝘆 𝗧𝗮𝗸𝗲𝗮𝘄𝗮𝘆𝘀 • Reliability is a pattern, not an act of effort. • Teams remember how you lead in messy moments, not easy ones. • Consistency is a quiet power — and people trust it more than intensity. 𝗥𝗲𝗳𝗹𝗲𝗰𝘁𝗶𝗼𝗻 𝗣𝗿𝗼𝗺𝗽𝘁𝘀 • When things get tough — do people look to me, or look past me? • Do I follow through even when no one is watching? • If my behavior were repeated daily — would it build trust or uncertainty? This post is part of the Team Leadership Series under The Inner Edge. 📩 Subscribe to 𝑻𝒉𝒆 𝑰𝒏𝒏𝒆𝒓 𝑬𝒅𝒈𝒆 — your weekly lens into modern leadership, mindset, and meaning. #hr, #TheInnerEdge, #Reliability, #TeamLeadership, #coaching, #LeadershipDevelopment #WomenInLeadership #Consistency #LeadByExample #HighTrustTeams #WorkThatMatters