No, you don't have to use the same answer scale.
In a survey, you are measuring different variables. Each variable is measured by a number of metrics, e.g. usability can be measured by the metrics learnability, ease of use and so on. Different metrics can, and will, have different units. This is not so different than in physics, where time is measured in seconds and distance in meters.
As you are working with self-reported variables, you have a bit of a leeway as to how to get the information on some metrics. You can ask "How much difficulty did you have learning to use our product", and use a scale ranging from "A lot" to "None at all", or you can say "The product was difficult to learn", and use a scale ranging from "Strongly disagree" to "Strongly agree". As long as you can make the two scales equivalent*, there is no difference in the final information. It is like choosing between measuring distance in meters or yards, you get the same information out of it.
You should measure the same metric in the same way. This means, if you make two studies one year apart, the comparability of the results between the studies will be reduced a lot if you choose one scale for the first study and the other for the second study. But between variables, there is no such issue. There is no inherent comparability between task frequency (which is measured in repetitions per time unit) and e.g. learnability (which is measured in a unitless ordinal measure), or even between different metrics measured with a unitless ordinal measure. So there is nothing wrong with measuring the different metrics with different scales, you are losing nothing in terms of comparability. From the point of view of the evaluation, there is no reason at all to use the same scales.
Then there is the question of the users. Are you going to confuse them if you use different scales? I don't think that this will happen. I haven't seen it happen in my own studies. The world is also full of other examples. My favorite supermarket sells kiwifruit by the piece, oranges by the kilogram, eggs by the six-piece package, and cheese packaged in arbitrary-size packs. None of the customers gets confused by this. We are accustomed to using different units for different things all the time. Similar for your questionnaire - you are measuring different things, so measuring them with a different scale won't confuse anybody.
[*] On the matter of making scales equivalent: Agree-Disagree scales are sometimes less expressive than more direct scales. If you are measuring the user's opinion of the current level of some attribute of your product, they are bad. For example, asking "How do you feel about the length of our newsletter" can have a scale ranging from "too long" to "too short", which is more expressive than saying "I feel that your newsletter is just the right length" and then having an agree-disagree scale.