How to investigate "aggressive indexes"
We've got a ton of learning resources on that Aggressive Indexes page (I just updated it with more, coincidentally) and I can't even begin to do justice to it overall. Having said that, here goes.

Imagine that you've only got a clustered index on a table. Inserts will be pretty doggone fast. However, when you try to update a row in that table, and you don't specify the clustering key in your where clause, then you'll end up with a lot of table locks (aggression). In that case, the fix is to add indexes for the fields you frequently query on.

On the other hand, imagine that you've got dozens of indexes. Whenever you want to insert or delete rows, you're going to need locks all over the place to get your work done. The high number of indexes will slow you down because nobody can get their insert or delete done quickly - and again, you'll see aggressive index warnings. In that case, the fix is to prune down the number of indexes to a more managable number.

Generally, for transactional tables (as opposed to overnight data warehouse loads), I tell people to aim for:


5 or less nonclustered indexes per table,
5 or less fields per index


That rule of 5 and 5 can be violated - the less write activity you have, and the faster your hardware is, and the better you tune your queries, the more you may be able to get away with more indexes. On the flip side, if you have crappy hardware and crappy queries, you might need to drop those numbers lower.

The 5 and 5 rule stems from the fact that I've gotta start people somewhere, and I have 5 fingers on one hand, and 5 fingers on the other - so the rule is easy to communicate.