I think that SEO after Panda needs to get far more sophisticated.
I'm becoming increasingly convinced that the symptoms that we describe of what has happened to SERPS since Panda, and its various iterations, is due to Semantic Vector Analysis overlaid with a further rules based analysis. Many of the errors and false positives are caused by errors in UK English vs US English that were also present post Florida and in the weighting of words within search terms, including brand names.
If someone could provide me with a tool that would predict the Google semantic vector of my site vs my competitors and allow me to tweak my site to move the vector past my competitor's vectors then I would willingly pay good money for it. Since this is an impossible dream SEOs need to find a series of actions that they can take on websites and pages that will eventually result in an improvement in rankings. I'm convinced that there will be some things that can be done that will feed the Panda in a way that will make it give you more positive results than might be expected. What we need to do is to observe what things appear to have worked in our own niches by identifying the features of pages and sites that have been given a boost by Panda and replicate those things.
SEO after Panda is going to be much, much harder but oh so much more valuable if you can crack it.