What Makes a Good Decision?
It’s not just data. It’s experience, instinct, and knowing what questions to ask.
We live in a world of data. Every day, tons of terabytes are being generated. Many companies, especially in tech, build their competitive edge on the data they collect.
With this abundance of data, how do leaders make decisions? Is it purely based on data? Or do great leaders still trust their gut?
The truth is, it’s not either or. Great leaders don’t choose between gut and data, they integrate both. The real skill lies in knowing when to trust your instincts, when to dig into the data, and how to combine the two in moments of uncertainty.
When good data is available
Whenever strong data is available, it should be used. But what exactly is good data? It’s reliable, directly relevant to the problem you’re solving, and up to date.
Good data doesn’t overwhelm you with noise. It highlights what matters and gives you something to act on. It doesn’t just sit in a report, it drives the conversation forward. Good data helps you make better decisions.
Netflix is a great example of data-informed decision-making. The company tracks every viewer action—what people watch, when and where, and when they stop watching. These patterns help Netflix predict what content will keep users engaged and subscribed.
Even with good data, leaders must stay alert. Overconfidence in the numbers can be dangerous. Data can reinforce existing assumptions or create a false sense of certainty. Good leaders stay curious and ask what the data might be missing.
But good data isn't always available
It’s surprisingly difficult to get high-quality data, especially in fast-moving or complex situations.
When launching a new product, entering a new market, or navigating a crisis, there's often no historical data to lean on. When electric vehicles first entered the market, automakers had little data on consumer demand, charging behavior, or viable pricing models.
Collecting and analyzing data takes time. In fast-changing industries like fashion or social media, what was true last month may already be outdated.
Data can also be messy, incomplete, or even contradictory. Sales data might tell one story, customer feedback another. Which one do you trust?
In situations like these, waiting for perfect information can lead to analysis paralysis. Great leaders know when it’s time to stop analyzing and start acting, even if the data isn’t perfect.
That’s where judgment and experience come in. What we call “gut feeling” is often just pattern recognition, built over years of facing similar challenges. It’s not guesswork. It’s intuition informed by memory.
Combining data, instinct, and people
Strong decisions are rarely made in isolation. Great leaders bring together multiple perspectives—data, customer insights, frontline experience—and look for patterns across them. They triangulate, sense-check, and adjust.
They also know the limits of dashboards. Not all signals come from spreadsheets. Often, the best insights come from conversations: talking to people close to the action, listening to what’s changing on the ground, and staying open to surprises.
When data can’t decide for you
Data rarely makes the decision. It frames the problem.
In high-uncertainty situations, great leaders don’t wait for perfect answers. They zoom out, focus on the big picture, and use sound judgment to move forward.
They make small, reversible bets. They stay calm and transparent, showing their team how decisions are made even when the path isn’t clear.
In uncertain times, leadership becomes the most reliable data point.



such a great perspective on how data and emotions join forces. when done well, it can be a beautiful marriage... but when let them conflict we get the dreaded paralysis. love your take!