Having dug around people's apprenticeships a bit now, I think there may be a chance for some smarter arrangement of the dataset. For instance, everyone reports having a "mentor program", but I don't think this is meaningful feedback for learners.
What we need:
Assess existing fields to see if they're usefully reported, or if there's another arrangement of the data that actually makes sense.
Find new fields that might be useful. I need some feedback from apprentices or candidates on what turned them onto (or off of) a given program. The negative sides (no benefits, e.g.) are incredibly important, but will probably also require some smoothing over when discussing with apprenticeships that do poorly for their learners.
What the hell do we do with application period? How do we instruct apprentices meaningfully on how to figure out if it's time to apply?
Note: We've already neglected to add some programs based on e.g. requiring a CS degree. Are there other disqualifiers?
Having dug around people's apprenticeships a bit now, I think there may be a chance for some smarter arrangement of the dataset. For instance, everyone reports having a "mentor program", but I don't think this is meaningful feedback for learners.
What we need:
Note: We've already neglected to add some programs based on e.g. requiring a CS degree. Are there other disqualifiers?