I think you might have the wrong idea as to what a hypothesis is. A hypothesis is not an expectation of what facts will pop up. It’s an explanation that ties existing facts together in a consistent way and makes predictions for the facts we don’t have yet.
A question as to the outcome of an experiment would be a fundamentally different kind of thing from a hypothesis. In fact, researchers work with both.
With that said, hypotheses are important because they are the actual answers to the questions we want answered. Nobody gives a dayum about the facts on their own, they only become interesting when they can tell us which of several competing explanations is most likely to be the right one.
Commonplace example:
Known facts: my nose is runny, I have a headache and my stomach hurts.
Problem: What’s the matter with me?
Hypothesis: I have a fever.
Testable prediction: If this is true, my body temperature is a few degrees Celsius over 37 right now.
(Experimental question: What is my temperature?)
Experiment: Sticking a thermometer somewhere and measuring my body temperature.
Now, if we didn’t have a hypothesis, knowing my body temperature wouldn’t help much. I would just know that my nose is runny, I have a headache, my stomach hurts and my temperature is elevated. This is not an explanation of what’s going on with my body. The facts on themselves cannot solve the problem unless they are connected by means of a hypothesis.