Several important points I'll add:
1) You will get frustrated at times, but don't give up. Hand analysis is not something most folks are born with the talent to perform. It's takes lots of practice to gain confidence in what you're doing, but you have to start somewhere. Even after almost 15 years, I still feel the urge to occasionally throw my hands up and admit defeat. ;-)
2) Give 5 people the same data plots and I'll bet the farm you get 5 different, if only subtle, analyses. Sure there are times when there could be gross errors in someone's analysis and sometimes important mesoscale features may be missed if you're not using all the resources available (especially satellite and radar imagery), but when done properly, there will still be variations among analyses. This is an inherent fact of life in subjective analysis. The important points to remember is data validation/QC and using ALL resources to ensure you create the most accurate representation of the state of the atmosphere.
3) If you are doing a series of analysis over a temporal range, continuity is very important. Many mesoscale and almost certainly all synoptic scale features do not just randomly disappear and reappear in a short range of time (say, 3 to 12 hours), but sometimes they do become "hidden" in the data, such as when the surface observation network is not dense enough to resolve an outflow boundary that may have appeared on a previous analysis. It is important to consult your previous analysis to refer to these items and, as in point 2, use other resources to provide clues as to their current location.
I know it's not much, but to me, these are important items to remember when doing subjective analysis.
Regards,
Mike