Having analytical sense means you'll ask the right questions, clarify the boundaries between known and unknown, and prioritize tasks to sequence projects in a way that inspires confidence.
Lazy shortcuts and cognitive biases can lead to poor decisions.
You need to systematically break down problem and attack it from every angle, identifying the biggest risks and most important questions.
If your not able to answer these questions right away, that's fine. But you'll need to use all the tools at your disposal to gain more certainty and predictability for the future.
Data can reduce uncertainty.
First you need to know how to obtain the data you need. Perhaps there is a data science team that can help, but that's not always the case. Either way, you'll want to understand some basics to discover user behavior and simulate possible outcomes.
Lastly you need a plan. What's the top priority and how do you sequence a set of actions to make sure you achieve it?
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