Using AI to See the Full Picture: Re‑Humanizing Strategy for Hawai‘i Leaders
- Sheldon Dunn, MBA, PhD

- Dec 11, 2025
- 6 min read

Have you ever felt like a strategic plan or new tech tool compressed your complex reality into a tidy box? Many traditional frameworks promise clarity by simplifying problems. Think the classic 2×2 matrix that is supposed to make complex issues appear simple. But these models quickly break down when real life doesn’t fit neatly into four quadrants.
In the same way, many AI tools and dashboards boil everything down to a handful of metrics or categories. This “one-size-fits-all” approach often oversimplifies reality. And when reality is oversimplified, we lose sight of important details and human signals that don’t fit the model.
The Risk of Simple Frameworks and Lowered Dimensionality
Traditional strategy frameworks, like rigid planning matrices and cookie-cutter business models, compress a multi-faceted world into a few measurable dimensions. That can force clarity and speed up decisions, but it comes with a tradeoff. What gets measured tends to get managed, and the things that matter most are often harder to quantify.
Key stakeholder concerns and nuance can get lost in translation. Take the classic stakeholder map that ranks groups by “power” and “interest” and tells you to focus on the high-power, high-interest quadrant. In an era of instant amplification, reputational risk, and community scrutiny, influence does not always sit neatly inside the org chart.
What about an influential community leader who is not in a formal decision role? Or employees whose insight shows up as energy, trust, and follow-through rather than a tidy metric? When we lower the dimensionality of our strategic view by focusing only on what is easiest to measure, we risk missing subtle but critical signals.
The same goes for some AI-driven tools. A dashboard might show an engagement score or a sentiment trend, but it rarely tells you the story underneath. When leaders narrow their view to what is convenient to count, they can miss the values and lived experience that drive long-term performance.
It is no surprise many executives describe the job as living inside contradictions. When your tools frame everything as a two-variable tradeoff, profit versus people or growth versus culture, the world starts to look like a forced either-or.
Expanding the View with AI and Human Insight
At Value Engine, we take a different approach. Instead of using frameworks or AI to narrow your options, we use them to expand the dimensionality of strategic input.
In plain terms, we harness technology to listen better and see more – not to override human judgment, but to inform it with richer insight. Our philosophy is a value-dominant, service-centric logic at heart (unlike the old-school thinking that treats strategy like a static product).
What that means is we start with what creates value for your stakeholders and work outward from there, co-creating strategy with you. AI and machine learning are tools in this process that help us scan large volumes of stakeholder language and surface patterns a human team would struggle to catch at scale.
What kinds of perspectives are we talking about? Here are a few examples of the extra dimensions we bring into focus:
Employee language and culture: Instead of just an annual HR survey, we can analyze patterns in everyday employee feedback and communication. What themes come up repeatedly in staff meetings or internal chat channels? Machine Learning and AI-driven psychometric language analysis can help uncover what your people truly care about or worry about (e.g., a need for “balance” or pride in “service”) by identifying values in the words they use. This adds an internal cultural dimension to your strategic view.
Community and customer narratives: Beyond net promoter scores, we look at stories from customers, patients, or community members. By sifting through social media comments, reviews, or town hall transcripts, our tools surface recurring values and concerns – maybe local parents are all talking about safety, or customers keep mentioning sustainability. These qualitative insights ensure community values and client voices are factored into decisions, not just token metrics.
Frontline and partner insights: We also gather input from frontline staff, partners, and other stakeholders that typical analyses overlook. Often, everyday language carries early warning signals about risk, trust, and service quality. For example, in local financial services, internal conversations can drift toward “control mechanisms” and “credit risk,” while customers and community partners talk about “trust” and "relationships." That mismatch tends to show up later as churn, reputational drag, and stalled growth. In healthcare, when staff narratives increasingly pair “patient care” with “stress,” while families emphasize “support” and “respect,” the quality issue is already present even if the dashboard has not caught up.
By widening the funnel of information in this way, we raise the dimensionality of your strategic picture. Patterns that were previously invisible start to emerge. You might discover, for example, that the same core value underlies multiple stakeholder concerns – revealing a path forward that addresses several priorities at once. Or you may find that an idea which looked risky in a narrow analysis makes perfect sense once you consider stakeholder sentiment and community support behind it.

Crucially, we do not hand decisions over to an algorithm. The role of AI and machine learning in our process is to augment human understanding, not replace it. We use advanced tools to crunch the data and highlight patterns, but it’s you, the experienced Hawai‘i leader, who adds the wisdom and context to interpret those findings. In practice, this approach re-humanizes strategy: technology helps bring more human voices, emotions, and values into the room, so your decisions are grounded in understanding people – not just abstractions.
Finding Clarity in Hawai‘i’s Complexity
Operating in Hawai‘i, we know that business is never just business; it’s personal, it’s community, it’s culture. Many local leaders already recognize this. Hawai‘i’s business culture places a strong emphasis on stakeholder alignment – balancing profits with the well-being of employees, community, and the environment.
Success here is often linked with community impact and humility in leadership, rather than a singular focus on shareholder returns. In other words, Hawai‘i leaders intuitively value the very things that get “flattened out” in low-dimensional models.
By expanding the range of inputs, we help ensure those Island values aren’t just lip service, but actively inform your strategy. When you can systematically surface what your employees, customers, and community members value, you’re better equipped to navigate the tough calls.
Overloaded with priorities? A richer perspective helps highlight which initiatives truly resonate with your mission and stakeholders – versus which are noise.
Facing stakeholder tensions? With deeper insight, you might uncover a creative solution that bridges the gap. For example, finding that investing in employee development also wins customer trust creates a win-win.
Stuck in ambiguity? When the path forward isn’t clear, tapping into narrative data and collective sentiment can illuminate guiding stars that pure analytics overlook.
Perhaps you’re trying to modernize operations and honor local tradition, or you’re balancing growth with community expectations. These are classic Hawai‘i leadership dilemmas – but they don’t have to be paralytic trade-offs. Our multi-dimensional approach often reveals that the “either/or” framing is false.
By seeing the full picture, you can turn many contradictions into complementarities. Imagine you are planning a cost reduction and the data tells you where the money goes, but not what the cuts will break. Employee narratives point to the bottlenecks that drain time. Customer and community language points to the moments that earn loyalty. When you put those signals together, you can redesign work instead of just removing budget. The outcome is often fewer complaints, fewer surprises, and a clearer story your people can stand behind.
Partnership, Not Just Solutions – Let’s Talk Story
At the end of the day, raising the dimensionality of decisions isn’t about crunching more data points – it’s about honoring the human side of business. Value Engine is here to be your partner in that journey. We don’t drop in with a one-size-fits-all fix. We come in ready to listen, learn, and co-create a path forward with you. Our role is to bring cutting-edge tools and a fresh perspective that amplifies the voices of your employees, customers, and community, so that your judgment as a leader is better informed and more confident.
If you’re a Hawai‘i leader feeling pulled in too many directions or worried that your strategy is out of sync with the people it’s meant to serve, we invite you to reach out and talk story with us. Sometimes the first step is a casual conversation about what’s on your mind. We’d love to hear what challenges you’re facing and share how an expanded, human-centered approach could help.




This idea that strategy is innately human, not just a spreadsheet honestly makes a lot of sense to me. In a lot of my finance classes and even at professional work settings, it feels like everything gets boiled down to KPIs, dashboards, or some 2×2 chart, and we’re supposed to act like that explains everything. But like the article points out, once you only focus on what’s easy to measure, you kinda lose the people part. What I mean by this is, employees, community voices, and stuff you can’t really slap a number on arguably matter just as much, or more. I like the idea of using AI to see more of the picture instead of oversimplifying it. Especially in Hawaii,…
I found this article very relatable, especially the part about how traditional frameworks and AI dashboards tend to oversimplify complex issues by lowering dimensionality. I’ve seen how tools like engagement metrics and stakeholder matrices can create clarity, but at the same time hide the real human factors that actually drive outcomes. The example about misalignment between employee and community language was especially interesting, because those issues often show up before dashboards are able to capture them. I agree that using AI to recognize patterns in qualitative data, without replacing human judgment, can improve decision making. This makes me wonder how leaders balance the need for fast, simple models with the patience required for meaningful stakeholder engagement.
One idea that stood out to me in the article is the argument that AI should be used to expand strategic understanding rather than compress it into a few simplified metrics—especially by capturing patterns in human language, values, and lived experience. I strongly agree with this, because many organizations still rely on dashboards that look clean but hide important social and cultural signals. In a place like Hawai‘i, where trust, relationships, and community context matter deeply, reducing strategy to standard KPIs can lead to decisions that are technically efficient but culturally misaligned. Using AI to surface narratives and stakeholder perspectives feels like a more responsible and realistic way for leaders to see the “full picture” and make choices that actually hold…
Danny Lieu- This article resonates with me as well as really ponders about how strategy shouldn’t just be about numbers or simple frameworks but about understanding people and community. I think this makes a lot of sense because in Hawai‘i, businesses are connected to culture and relationships, not just profit. As a son and brother of entrepreneurs, I can say that business and culture are definitely intertwined. I liked how the article explained using AI to gather more human insights, like employee feedback or community stories, without replacing human judgment. It makes me think that leaders who pay attention to these signals can make better decisions and solve problems in ways that spreadsheets or dashboards would never show.
This article resonated with me on a personal level because I have seen what happens when complex human systems get reduced to clean metrics and simplified models. In military environments, decisions are often made under extreme pressure, and no dashboard ever captures morale, trust, or the lived reality on the ground. That is why your argument that AI should raise the dimensionality of understanding, rather than flatten it, feels so important to me. Used well, AI becomes a way to listen better and see patterns that us as humans miss, not a substitute for judgment. Especially in places like Hawai‘i, where leadership is inseparable from community and culture, strategy has to reflect human experience, not just numbers. I appreciate the…