What i find really annoying with using trakt, is the way you have to seperate shows or movies into seperate list for your personal "status" on that show (Like i need to make my own list for shows that i have dropped, have on hold or have completed (and you have the default Watchlist for shows you want to watch.))

So what i think would immensely help organize our shows/movies, is to have a more "Complete list" of every show/movie and their own "Status", like they do on MyAnimeList. (Or we could just have a new system of "tagging" shows, so these "Statuses" are more clearly visible.) An example of this is the way i have organized my page on MyAnimeList: https://myanimelist.net/mangalist/davidpeder2

Here you can filter every entry after their status; like "watching", "on hold", "dropped" or "want to watch", and you can easily see what their status is. I also find this way much easier to find out how many episodes you have watched, than to hover your mouse over the shows to see how many episodes you have watched/how many times you have seen it. Here you can also give comments on the specific entry.

This would make organization much easier, and would make it so that i dont have to have multiple tabs open just to see everything i am watching, have completed, have on hold and have dropped.

I have this as VIP since this is a little more complex but it would work fine non-VIP as well.

What I was thinking was that when you pull up a show's main page, it will show an estimate of when you will ether catch up or finish watching the show.

Here is an example of the math for it to work.... at least I think it works. But it should give you a general idea of how it may function.

Key:
b = Average time between episode plays for that show.
x = Time since last played episode for that show.
r = number of remaining episodes in that show.
l = length of unwatched episodes(22 minutes, 44 minutes, etc.).
u = time till next un-aired episode date(if there is any unaired episodes).
T = Time till you are caught up/completed with the show

#1. (b+x) ÷ 2 = A

You are adding the average time between episodes to the time since the last payed episode and averaging.

#2. r(A) + r(l) = m

You are then multiplying that average time by the number of remaining episodes. Then multiplying the length of the unwatched episodes by the number of remaining episodes and adding those two numbers together to get m.

#3. If m < u then m = T

If m is a date/time sooner than the time till the next unaired episode date/time(u) then m is the Catch up/Complete date/time that is displayed.

#4. If there are no unaired episodes left then m = Time til you are caught up/completed. (m = T)

#5. If m > u then repeat #2 with r = r + # of unaired episodes m is later than.

If m is a later date/time than unaired episodes' air date/time(u) then repeat step #2 with the number of unaired episodes that m is later than being added to the number of remaining episodes(r).

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I hope this makes sense, if it doesn't please ask and I will elaborate if I can.

One area where trakt currently is severely lacking is keeping up with your "network"/"friends". The number of people you can follow before the dashboard looses it's usefulness is probably a mere 3 users. Capping out at 12 recent items is quite harsh. A single casual user these days can probably nuke that feed in an evening alone (watching, collecting, commenting, lists, etc.). Going above that you can pretty much scratch that area of trakt. If you want to find out what certain people are enjoying you are forced to click on their profile AND "study"
their history (at least for TV data).

What could be improved / expanded:
- Filter options. However not just a single selector but checkboxes for the different types of interactions.
- Different display views including a text/icon list. (the current one is overloaded and not easy to read)
- Condensed user actions as I once suggested before V2 (http://support.trakt.tv/forums/188762-general/suggestions/3561062-condense-activities-dashboard).
- User independent views or data. Ex. most watched shows among friends in the last x-days, highest rated.
- Recent feed for each of the users (as an expanded view).

Would it be possible to add some way to flag duplicates directly on the site?

For example adding a link "this is/has a duplicate" next to the "refresh data" that open a pop-up where you can enter a link to the duplicate/original of a movie/show, maybe even a comment if details are needed.
It would be easier and quicker for user to inform you about them and you could even see the links that are flagged more often and correct them first.

It would reduce the number of support messages and make duplicate/error signaling accessible to the less curious of us who never checked what the "Help" link was about or never had the motivation to search and find out how to signal a duplicate.

There are certain individuals writing WOTs for the lamest of episodes imaginable without saying much on a regular basis, or people deliberately spamming the comment section with multiple (different) >1k character comments (but 0-1min timestamp differences).

I'd like to set a user to be ignored to not see his/her reviews and shouts (or replies). It's greatly annoying to see that a recent episode has like 6-9 comments in total whereas 4-6 are from the same person upon expanding the comment section.
Or see yet another review talking hot air about redundant, petty things for thousands of characters, pretty much without being able to get a single point across with just a few words.

To each their own, for others there might other people they'd like to not see comments from, who'd benefit from this greatly.

If I may, I'd like to ask for a slightly more 'forgiving' search engine which gives us humans the opportunity to do what we do best - make mistakes or at least be allowed not to be 100% precise all the time about our input, for instance searches including release years "Life (2015)", forgotten dots instead of space characters "Life.in.Pieces" and even more obvious spelling mistakes, which trakt at this point really does not approve of (= no results).

In my experience the IMDB engine does quite a good job in terms of 'fuzzy string searching' and I would love to see trakt getting there some day.