I don't work in energy so I don't know what it's like "behind the scenes" but too me, long-range is about understand pattern evolution and understanding how certain pattern regimes influence week-to-week or day-to-day sensible weather. At least on the boards and social media for anyone who loves weather, I think the premise of long-range forecasting is misunderstood and used incorrectly. Most people who love weather love snow, that isn't a secret. So as we get closer to winter everyone is focusing on long-range and wants to know whether it will snow in their backyard...that is all everyone cares about. This isn't the point of long-range forecasting.
If people are going to "verify" model performance and patterns based on what happens in their backyards, well that is on them. I may be incorrect in this, but I would wager that the skill in forecasting temperatures (anomalies) weeks to even a month or two out is probably higher than most would think. Forecasting anything outside of this variable is going to greatly impact accuracy and increase variability. Even in a "favorable" pattern, many pieces still have to fall in place to produce a storm (or well just say snow because that is what everyone wants). How shortwaves are traversing the pattern, how they evolve, and how they interact are somewhat correlated to the actual pattern, but timing/speed is more related to other factors.
There is more to verification and scores and success than whether someone gets snow in their backyard.