Over the past decade, my career has followed an unusual path. I’ve worked as an environmental technical writer, contributed to CEQA and NEPA documentation, researched environmental constraints for development projects, managed retail operations, repaired skis and snowboards, built educational resources, and spent thousands of hours studying how organizations make decisions about sustainability.
At first glance, those experiences appear unrelated.
To me, they’ve always been studying the same problem from different perspectives.
Whether evaluating a proposed housing development, helping customers choose outdoor equipment, or designing educational frameworks through Greenisms, I have consistently found myself asking the same questions:
What exists?
What doesn’t?
Why does it work this way?
What depends on what?
How do we communicate complexity so people can actually make better decisions?
These questions eventually became more than habits. They evolved into a framework.
Too often sustainability is presented as a checklist. Organizations calculate carbon emissions, publish ESG reports, install renewable energy, and announce ambitious targets. These efforts matter, but they can unintentionally create the illusion that measurement alone produces understanding.
It doesn’t.
Metrics describe reality. They are not actually reality.
One example is the familiar Scope 1, Scope 2, and Scope 3 emissions framework. It is an incredibly useful accounting system for measuring greenhouse gas emissions across direct operations, purchased energy, and value chains. It creates consistency, comparability, and accountability.
But it was never intended to answer every environmental question.
When organizations begin using emissions accounting as a proxy for sustainability itself, important dimensions disappear. Biodiversity, ecosystem resilience, social relationships, material flows, water cycles, land use, ecological services, and countless qualitative interactions often become secondary because they are more difficult to measure.
This is not a criticism of the framework.
It is a reminder that every framework has boundaries.
One of the lessons I’ve learned throughout my career is that the most important question is often not “What are we measuring?”
It is “What are we leaving outside the frame?”
That question has become central to my work through Greenisms, where I’ve been developing what I think of as ecosystem thinking.
Rather than beginning with solutions, ecosystem thinking begins with observation.
First, recognize what exists.
What is present?
What is absent?
Who participates?
Who is affected?
Next, explore relationships.
Why does this system exist?
Who benefits?
What changes over time?
What assumptions are embedded within it?
Then, systemize.
What depends on what?
Where are the feedback loops?
What creates resilience?
What creates fragility?
Finally, translate.
How can these insights become useful for someone else?
How do we communicate complexity without oversimplifying it?
These stages may appear simple, but together they encourage a shift away from isolated metrics toward understanding interconnected systems.
I don’t believe every environmental challenge requires a new technology.
Many require a better mental model.
Organizations increasingly operate in environments defined by uncertainty. Supply chains shift unexpectedly. Regulations evolve. Climate risks interact with financial risks. Social expectations change faster than strategic planning cycles.
In that context, leaders who can recognize relationships become just as valuable as experts who can optimize individual metrics.
This perspective has also shaped my own professional growth.
Early in my career I focused heavily on producing accurate technical documents. Accuracy remains essential, but I’ve become increasingly interested in translation—the ability to bridge technical expertise and practical decision-making to point out where opportunities or pinch points are.
Scientists, engineers, planners, executives, designers, policymakers, and communities often possess different pieces of the same puzzle. Progress frequently depends less on generating new information than on helping these groups understand one another and communicate.
That is where I believe thought leadership can provide real value.
Not by offering absolute answers, but by expanding the questions organizations are willing to ask.
The future of sustainability will undoubtedly include better data, stronger reporting standards, artificial intelligence, automation, and increasingly sophisticated analytical tools.
Those developments are exciting.
Yet no amount of data eliminates the need for thoughtful interpretation.
Data tells us what is happening.
Frameworks help explain why.
Systems thinking helps reveal what happens next.
As organizations continue navigating environmental and organizational complexity, I believe success will increasingly belong to those who can connect disciplines instead of remaining confined within them.
My own journey continues to evolve, but one principle has remained remarkably consistent:
Every organization is part of a larger ecosystem. Every action has some tangible or intangible impact, and sometimes recognizing these connections creates pathways for progress.
I’ve grown along with the idea of truly understanding those ecosystems; putting them together with intention; designing them for ourselves and others. Not merely measuring isolated components within them and reporting them, but integrating the data into the human experience.
The ability to see and translate these ecosystem recipe components may become one of the defining leadership skills of the coming decade.
