Outcome vs. Process
What Ag Can Learn from the Seahawks’ Final Play
In the final seconds of Super Bowl XLIX, the Seahawks had the win within reach. With Marshawn Lynch in the backfield and one yard to go, Pete Carroll called a pass. It was intercepted. They lost.
Instantly, the decision was criticized as the worst play call in NFL history.
But was it really?
Author and former professional poker player Annie Duke offers a different take. In her book Thinking in Bets: Making Smarter Decisions When You Don’t Have All the Facts, she introduces the concept of “resulting”, our tendency to judge a decision based solely on its outcome, not on whether it was the right call at the time.
In the Seahawks’ case, the interception rate on that type of pass was low. The clock and timeouts were part of the equation. Statistically, it wasn’t a reckless call. It was a reasonable decision that didn’t work out.
It’s tempting to call it a bad decision because the result was bad. But that’s exactly what Annie Duke warns against. A good decision doesn’t guarantee a good outcome, especially in complex, high-pressure environments. What it does guarantee is a stronger process and a better shot at success over time. In agriculture, where seasons are short and stakes are high, building that kind of decision discipline is everything.
That distinction—between outcome and decision quality—is something agriculture needs to pay more attention to.
What the Seahawks Have to Do with Ag Commercialization
When a product launch underperforms or a trial doesn’t deliver clear results, it’s easy to blame the strategy. Maybe the region was wrong. Maybe the pricing missed. Maybe the product just wasn’t good enough.
But was the decision bad, or were we simply missing the right information?
This is what we call the Commercial Gap—the space between a product’s potential and its actual market performance. That gap often widens when decisions are made without enough data, environmental context, or alignment across teams.
In agricultural product strategy, closing that gap means understanding where and why a product works, not just where it’s been tested before.
Smart Commercialization Is About Process, Not Just Results
Smart Commercialization is a structured approach to agricultural decision-making. It’s not about chasing perfect outcomes. It’s about building systems that support strong commercial execution under pressure. That includes:
- Using tools like INNOVA and INVISION to replace assumptions with reliable agricultural data modeling
- Prioritizing trial placement based on soil, climate, and market fit
- Aligning product, R&D, and go-to-market teams around the same signals
- Making data-backed decisions about pricing, positioning, and regional launch strategies
No software removes uncertainty completely. But the right tools can reduce the guesswork and give your team the confidence to act.
Of course, strong decisions also depend on strong data. That’s why our team doesn’t just provide tools, we help collect the field data that fuels them. From farmer recruitment to protocol design, in-field monitoring, and post-harvest analysis, we make sure your data is consistent, complete, and feeds into your commercial decision-making. Because the smartest strategy in the world won’t work if the data behind it is broken.
Final Thought
Annie Duke’s insight is simple but powerful: if you only judge decisions by outcomes, you’ll miss the real opportunities to improve.
In commercial agriculture, there is no luxury of hindsight. Every season is high stakes. Product planning windows are tight. Field trial cycles are limited.
The companies that succeed in today’s ag industry are the ones focused on decision quality, not just results. That’s what Smart Commercialization is about—turning uncertainty into action, and strategy into execution.
Want to learn how INTENT’s platform and services support smarter decisions in ag? Let’s talk.
