Strategic Alignment Techniques

Few Lessons from Deploying and Using LLMs in Production Deploying LLMs can feel like hiring a hyperactive genius intern—they dazzle users while potentially draining your API budget. Here are some insights I’ve gathered: 1. “Cheap” is a Lie You Tell Yourself: Cloud costs per call may seem low, but the overall expense of an LLM-based system can skyrocket. Fixes: - Cache repetitive queries: Users ask the same thing at least 100x/day - Gatekeep: Use cheap classifiers (BERT) to filter “easy” requests. Let LLMs handle only the complex 10% and your current systems handle the remaining 90%. - Quantize your models: Shrink LLMs to run on cheaper hardware without massive accuracy drops - Asynchronously build your caches — Pre-generate common responses before they’re requested or gracefully fail the first time a query comes and cache for the next time. 2. Guard Against Model Hallucinations: Sometimes, models express answers with such confidence that distinguishing fact from fiction becomes challenging, even for human reviewers. Fixes: - Use RAG - Just a fancy way of saying to provide your model the knowledge it requires in the prompt itself by querying some database based on semantic matches with the query. - Guardrails: Validate outputs using regex or cross-encoders to establish a clear decision boundary between the query and the LLM’s response. 3. The best LLM is often a discriminative model: You don’t always need a full LLM. Consider knowledge distillation: use a large LLM to label your data and then train a smaller, discriminative model that performs similarly at a much lower cost. 4. It's not about the model, it is about the data on which it is trained: A smaller LLM might struggle with specialized domain data—that’s normal. Fine-tune your model on your specific data set by starting with parameter-efficient methods (like LoRA or Adapters) and using synthetic data generation to bootstrap training. 5. Prompts are the new Features: Prompts are the new features in your system. Version them, run A/B tests, and continuously refine using online experiments. Consider bandit algorithms to automatically promote the best-performing variants. What do you think? Have I missed anything? I’d love to hear your “I survived LLM prod” stories in the comments!

Lou Gerstner walked into IBM in 1993 expecting a strategy problem. What he found was worse. Here's what leaders need to learn: Every division had a strategy. Every executive had a vision. Every team was chasing a different goal. Engineering was building for one future. Sales was selling into another. Marketing had its own roadmap entirely. At his first exec meeting, each leader presented different success metrics: Revenue. Market share. Innovation. NPS. Same company, completely different definitions of winning. Gerstner didn’t write a new strategy. He did something more powerful: He mandated one framework for priorities. Same metrics. Same language. Same scorecard. Within 6 months, misalignment became visible. Within a year, IBM started moving as one. I saw the same pattern play out in a Fortune 500 basement. The quarterly review was nearly over when the Head of Ops paused: “I need to be honest. I don’t even know what our top 3 priorities are right now.” Silence. Then heads nodded. The CMO had been focused on brand. Sales thought revenue was the priority. The CTO was deep in infrastructure rebuild. The CFO was chasing cost control. 9 executives. 27 different priorities. 3 overlaps. That’s not a team. That’s a collection of soloists. Strategy isn’t the problem. Alignment is. Everyone knows the strategy. But what are they actually optimizing for this week? I’ve seen it again and again: • Monday: “Retention is everything” • Friday: Sales signs three bad-fit clients to hit quota • Product starts chasing new features • Success never gets the memo 5 days. Alignment gone. So how do you fix it? 1. Make priorities visible weekly Every Monday: top 3 org-wide priorities, posted publicly. No guessing. No side quests. 2. Create explicit handoffs Marketing, sales, product, and success - define the exact criteria for every handoff. Spotify did this. Discovered 40% of handoffs had misaligned expectations. 3. Run weekly alignment checks One question: What are you optimizing for this week? If it doesn’t match the org’s top 3, you catch drift instantly. 4. One source of truth No more 50 dashboards. Microsoft did this with their Customer Success Score. Every division had to contribute to the same North Star. Alignment doesn’t happen by accident. It deteriorates by default. Great companies don’t assume alignment. They build it systematically. That Fortune 500 team? 6 months later, they went from 27 priorities to 3. Revenue grew 18%. Engagement jumped 43% → 71%. All because they stopped guessing. Want more research-backed frameworks like this? Join 11,000+ execs who get our newsletter every week: 👉 https://lnkd.in/en9vxeNk

🌏 Destination Stewardship in the Age of Overcrowding: What Bali Must Learn from Global Cities The World Travel & Tourism Council’s latest report is both a wake-up call and a roadmap. Titled “Managing Destination Overcrowding: A Call to Action from the Travel & Tourism Private Sector”, it makes the case that the real risk to popular destinations like Bali isn’t tourism itself — but the failure to manage it systemically. 📉 In Europe, the report warns that reducing tourism to “average” levels could erase $245 billion in GDP and nearly 3 million jobs within 3 years. But it equally shows that unchecked visitor pressure, if not addressed with evidence-based planning, threatens the very essence of place — and with it, long-term competitiveness. So how does this apply to Bali? 👉 Bali is not “over-touristed” — it is under-managed. Much like Venice or Barcelona, Bali faces the consequences of: High visitor density in a few iconic nodes (e.g., Canggu, Seminyak, Ubud) Inadequate reinvestment of tourism revenues into public infrastructure Fragmented governance and regulatory asymmetry across regencies Resident alienation and diminishing pride in place What the WTTC proposes is highly relevant: ✅ Build a multi-sector Destination Stewardship Body with real mandates ✅ Co-create a shared destination vision, aligned with both residents and investors ✅ Deploy data-led visitor management and crowd-monitoring systems ✅ Ring-fence and transparently reinvest tourism taxes into mobility, waste, water, and culture ✅ Empower residents through meaningful participation and pride-of-place programming This isn’t about saying “no” to growth — it’s about saying “yes” to resilience, regeneration, and recalibration. 🔎 Bali can — and must — avoid the trap of simplistic solutions like blanket moratoriums or tourism taxes that are never reinvested. Instead, we need what this report calls “evidence-based governance” and a long-overdue pivot from destination marketing to destination management. 📣 As an advisor engaged across Bali’s tourism corridors and a proponent of a value-over-volume model, I urge our public, private, and community stakeholders to treat this report as a blueprint. Let’s not wait for the tipping point to act. Let’s make stewardship Bali’s new signature. Check out the report at: https://lnkd.in/g_Q9jUve #Bali2030 #TourismStrategy #DestinationStewardship #WTTC #SustainableTourism #ResilientDestinations #VisitorEconomy #ValueOverVolume #DataDrivenDecisions #HospitalityStrategy

When I started building my brand ecosystem publicly, everything shifted. The traditional advice says, "build it and they will come." But after studying founder brands, I've learned that most founders are stuck choosing between getting attention and maintaining integrity. Last year, I watched a brilliant entrepreneur struggle with this exact paradox. When I shared my Brand Trust Equation with her, something beautiful happened. Here's what I learned about building in public through systematic brand development: 1. Identity System Transparency Share your core messaging, positioning, and values openly. Building your identity in public creates accountability for authentic choices. Your audience connects with the journey, not just the destination. 2. Content System Broadcasting Document your strategic output across all platforms transparently. Sharing your content framework helps others while establishing your authority. Your systematic approach demonstrates professionalism and intentionality. 3. Experience System Documentation Show how people interact with your brand at every touchpoint. Building your customer journey in public creates better experiences for everyone. Your process transparency helps prospects know exactly what to expect. 4. Conversion System Sharing Reveal how attention becomes revenue in your business model. Building your funnel in public demonstrates the value of systematic thinking. Your transparent approach shows prospects the clear path forward. 5. Lighthouse Content Strategy Create cornerstone pieces that attract your ideal audience while repelling everyone else. Building your manifesto, methodology, case studies, and vision in public establishes authority. Your transparent philosophy becomes a filter for quality connections. This approach builds long-term brand equity instead of short-term attention. 6. Platform Synergy Framework Show how different platforms serve different purposes in your ecosystem. Building your multi-platform strategy in public creates strategic alignment. Other founders learn how to maximize impact across channels. This isn't just about building brands, it's about creating beautiful, systemized, and authentic businesses that serve both founders and their communities. When you build your brand ecosystem in public, you're not just attracting attention. You're building trust through the Brand Trust Equation: (Consistency × Authenticity × Value) ÷ Self-Promotion. The solution isn't choosing between integrity and attention, it's building systems that deliver both simultaneously through transparent, value-first brand development. The future belongs to those brave enough to build their brand systems in public. __ Enjoy this? ♻️ Repost it to your network and follow Matt Gray for more. Curious how this could look inside your business? DM me ‘System’ and I’ll walk you through how we help clients make it happen. This is for high-commitment founders only.

I keep returning to Damon Centola’s research on how #change spreads. Not because it’s clever. Because it’s true. Centola found that change doesn’t move like information. You can’t push it through announcements or clever messaging. It spreads through behavior, #trust, and networks. He calls it complex contagion, and it tracks with what I see inside organizations every day. People don’t change because someone at the top says so. They change when they see people they trust doing something new. Then they see it again. Then maybe one more time. That’s when it starts to feel real. That’s when it moves. Here’s what Centola’s research shows actually makes change stick: - Multiple exposures. Once isn’t enough. People need to encounter the new behavior several times from different people. - Trusted messengers. It’s not about role or rank. It’s about credibility in the day-to-day. - Strong ties. Close, high-trust relationships are where change actually moves. - Visible behavior. People need to see it being done, not just hear about it. - Reinforcement over time. Real change takes repetition. One wave won’t do it. This flips most #ChangeManagement upside down. It’s not about the rollout or coms plan. It’s about reinforcing new behaviors inside the real social structure of the organization. So, if you are a part of change, ask your team and self: 1. Who are the people others watch? 2. Where are the trusted connections? 3. Is the behavior visible and repeated? 4. Are you designing for reinforcement or just awareness? Change isn’t a #communication problem. It’s a network pattern. That’s the shift. That’s the work. And that’s what I help teams build.

𝗬𝗼𝘂 𝗱𝗼𝗻’𝘁 𝗰𝗵𝗼𝗼𝘀𝗲 𝘁𝗵𝗲 𝗕𝗼𝗮𝗿𝗱, 𝗯𝘂𝘁 𝘆𝗼𝘂 𝘀𝗵𝗮𝗽𝗲 𝘁𝗵𝗲 𝗽𝗮𝗿𝘁𝗻𝗲𝗿𝘀𝗵𝗶𝗽 New CEOs rarely arrive with new boards. More often than not, the board is already in place with set priorities and governance traditions. Unlike Executive teams which CEO’s can gradually shape through appointments and rotations, boards tend to have longer tenures, which means that the CEO is likely to work with the same board for the entirety of their service.   In the early days, while it might be tempting to reimagine the board and wish for one more aligned to your ideals, it is more prudent to seek clarity and alignment.  Drawing from both books and my own experience, a few key lessons stand out about aligning with an existing board while charting a new course: 𝗟𝗶𝘀𝘁𝗲𝗻 𝗯𝗲𝗳𝗼𝗿𝗲 𝘆𝗼𝘂 𝗹𝗲𝗮𝗱 Every board has its own rhythm, history, and unwritten codes. In early meetings, asking more questions than you answer and observing how directors deliberate and where influence lies builds trust more effectively than asserting authority. 𝗥𝗲𝘀𝗽𝗲𝗰𝘁 𝘁𝗵𝗲 𝗹𝗮𝗻𝗲𝘀 The board governs, while the CEO executes. Preserving that distinction is crucial. When boundaries blur, both roles suffer. Clear communication and strategic focus build mutual confidence. 𝗟𝗲𝗮𝗱 𝘄𝗶𝘁𝗵 𝗰𝗹𝗮𝗿𝗶𝘁𝘆 Boards respond best to transparent strategy and clear framing of risk and opportunity. Distilling complex issues into focused priorities, supported by data and timelines, accelerates alignment and enables faster decisions. 𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱 𝘁𝗵𝗲 𝗵𝗶𝘀𝘁𝗼𝗿𝘆 𝗮𝗻𝗱 𝗯𝘂𝗶𝗹𝗱 𝗿𝗲𝗹𝗮𝘁𝗶𝗼𝗻𝘀𝗵𝗶𝗽𝘀 Boards often carry history, be it from past transitions, refined strategies, or external shocks. A CEO who acknowledges that history without being defined by it shows emotional intelligence and strategic maturity. One-on-one conversations with directors can help you quickly unearth insights that will be instrumental in your future engagements with the Board.   Manage expectations early Boards carry both hopes and pressures. Without clear expectation setting, a CEO may be measured against unspoken assumptions. Clarifying what is realistic in the short, medium, and long term fosters shared understanding and prevents avoidable frustration. 𝗠𝗮𝗸𝗲 𝗽𝗮𝗿𝘁𝗻𝗲𝗿𝘀𝗵𝗶𝗽 𝘁𝗵𝗲 𝗴𝗼𝗮𝗹 Alignment is not about unanimous agreement. It is about building conviction around shared purpose and direction. Dissent, when used to test assumptions, can lead to stronger, more resilient decisions. The Chair–CEO relationship is central to this. Investing in it sets the tone for the entire board. The CEO–Board relationship should never be an afterthought. It is a cornerstone of resilience and a catalyst for long-term growth. • How are you building trust with the board you have today? • What principles have helped you align with a board you did not choose? • And perhaps most importantly, how are you unlocking the potential of the one you inherited?

Too many AI strategies are being built around the technology instead of the business challenges they should solve. The real value of AI comes when it is directly tied to your goals. I have arrived at seven lessons on how to align your AI strategy directly with your business goals: 1. Start with the "why," not the "what." Before discussing models or tools, ask what business problem you need to solve. It could be speeding up product development, or cutting operational costs. Let that answer be your guide. 2. Think in terms of business outcomes. Measure AI success by its impact on metrics like revenue growth or employee productivity not by technical accuracy. 3. Build a cross-functional team. AI can't live solely in the IT department. Include leaders from all relevant departments from day one to ensure the strategy serves the entire business. 4. Prioritize quick wins to build momentum. Identify a few small, high-impact projects that can deliver results quickly. This builds organizational confidence and makes people ready to take on larger initiatives. 5. Invest in data foundations. The best AI strategy will fail without clean and well-governed data. A disciplined approach to data quality is non-negotiable. 6. Focus on change management. Technology is the easy part. Prepare your people for new workflows and equip them with the skills to work alongside AI effectively. 7. Create a feedback loop. An AI strategy is not a one-time plan. Continuously gather feedback from users and analyze performance data to adapt and refine your approach. The goal is to make AI a part of how you achieve your objectives, not a separate project. #AIStrategy #BusinessGoals #DigitalTransformation #Leadership #ArtificialIntelligence

If I'm in charge of revenue at a large nonprofit, I can't ignore these realities 👇 -Donors giving below $100 are down ~9% (and have been trending down) -Donors giving below $500 are down 4% (and have been trending down) -Slower income growth & less disposable income for most -Middle-class households under economic pressure -The rapid decline of religion (that has giving as a core tenet) -Decline in institutional trust -Not only is charitable giving largely stagnant as a % of the GDP, but we also haven't been able to grow share of wallet -Donors giving $5k-$50k are up 1% -Donors giving $50k+ are up ~3% And if I look around at what other nonprofits are doing, I might see 👇 -Marketing getting louder -Frequency cranked to 11 -Tired tactics with little differentiation And if strategy is about how an organization applies strength against the most promising opportunity or the most critical challenge, I need to address the problem head on. Three ideas... 1) Instead of getting louder, get closer to donors. -Jeffersonian dinners -"Jobs To Be Done" interviews -Measuring donor satisfaction -Rating the donor experience -Cross train across the org on how to listen to donors -More thoughtful prioritization and segmentation -Do things that don't scale; you will likely not "scale" anyways (but you'll very likely grow!) 2) Focus more energy on the people who *can* give more. That doesn't mean you should ignore the $100 donor. Two things can be true at the same time: most of your limited human hours are best spent on people who can give >$10,000, AND, you can treat the $100 donor like they're an important part of the team (because they are). -Create tiered caseloads (A, B, C, D donors) -Develop a donor engagement plan for each tier -Treat mid-major donors like true partners: frequent report backs, project proposals, town halls, feedback loops, in-the-moment updates -Focus your work in the 'mass' file to identify the best prospects for a mid-major treatment, and work to move as many OTGs to recurring (monthly) or re-occuring revenue (quarterly, yearly, etc.) 3) Promote giving from assets across the donor file—and make it easy to do so Russell James taught me this. When people give from their assets, the gift is likely to be larger. And they are more likely to give again. Giving from assets (like stocks and shares, tax-savings accounts, retirement accounts, DAFs, gifts of life insurance, etc.) is often the smartest way for donors to give—no matter the size of gift. But many donors simply don't know it's an option. -- We're partnering with growth-minded nonprofits to implement all of these ideas, and more. If you think it's time you create a solid midlevel giving strategy (not just a standard appeal with an open ask), give me a shout.

2 — Solving Goal & Priority Misalignment with Is/Is Not + Perspective Circle.  SOLVING THINGS with SYSTEMS THINKING (STwST) — a series of mini, real-world applications of DSRP. When a team says, “We’re working hard but not pulling in the same direction,” it’s usually not a motivation problem. And it’s rarely a communication problem. It’s a distinction + perspective problem. Different people are carrying different mental pictures of what the goal is and is not, and different perspectives on what actually counts as a priority. So even when everyone uses the same words, they’re not aiming at the same thing. They might be reading the same page but interpreting it differently. Two simple thinking moves fix this. The first is an Is / Is Not list. Take the goal and the priorities and make them explicit: what this goal is, what it is not; what matters now, and what does not. This forces clarity where assumptions usually hide. The second is a Perspective Circle. You don’t need everyone to think the same way—but you do need everyone looking at the same picture. Different roles, levels, and functions can keep their own viewpoints, as long as they’re all anchored to the same shared view. Then keep that shared model on the table. Revisit it at the start of meetings. Use it when tradeoffs show up. Let people argue with it, stress-test it, and refine it. Don’t laminate it. Put it to work. Alignment doesn’t come from hearing the right words once. It comes from people rebuilding their own internal picture until it matches the shared one. When that happens, language cleans up, decisions get faster, resources line up, and the friction fades—because action always follows the mental model. If you listen carefully, misalignment announces itself in sentences that shouldn’t exist if the goal were truly shared. Those sentences are the signal. #STwST #SystemsThinking #CabreraLabPodcast #SystemsThinkingStandardsInstitute

SEO isn't just about Google anymore. After 16 years of tracking algorithm changes, I'm seeing the biggest shift in search behavior since mobile-first indexing. Here's how to dominate search across ALL platforms in 2025: 1. Map the new search ecosystem Your customers aren't just using Google. They're searching on: - ChatGPT and Perplexity for research - YouTube for tutorials and reviews - TikTok for product recommendations - LinkedIn for B2B solutions - Reddit for genuine opinions Each platform requires a slightly different approach, but the fundamentals remain the same. 2. Target conversational queries Traditional keyword research misses how people actually talk to AI. Instead of "best CRM software," people ask "what's the most user-friendly CRM for a 50-person sales team?" Here's how to find these queries: - Check "People Also Ask" sections in Google - Use Google Search Console to find queries longer than 10 words - Study how Perplexity expands your seed keywords - Look at suggested queries in AI chat platforms 3. Build topic clusters across platforms Pick one core topic and go deep. If you're targeting "email marketing," create content around: - Email automation workflows - Deliverability best practices - Subject line optimization - List segmentation strategies - A/B testing methodologies Then distribute this content across: - Your website (pillar page + supporting articles) - YouTube (video tutorials) - LinkedIn (professional insights) - Industry forums and communities The key is maintaining consistent messaging while adapting format to each platform. 4. Signal authority to AI systems AI platforms don't just pull random content. They favor authoritative sources. Build authority signals through: - Consistent link building (AI systems favor sites that rank well in traditional search) - Third-party reviews and mentions - Citations from trusted industry sources - Brand mentions across the web The sites getting cited in ChatGPT responses? They typically have strong backlink profiles and established domain authority. Most businesses are still stuck in 2019 SEO tactics while their customers have moved to a multi-platform search world. The companies winning right now are treating search as an ecosystem, not just a Google problem.