I'm at the point where I actively seek out the opinions of certain reviewers when I go to buy tea. As I branch out and try more tea from different brands, I am beginning to be able to tell whose tastes are more aligned with my own. What I'd like to see is some more information, or stats, if you will, on users.
I like that you're able to click on a tea and read all the pertinent reviews. That's helpful. I'd love to be able to click on, for example, a brand and be able to see that, of the people I follow, Person X has reviewed 15 teas from this company and be able to access just their reviews so I can get a consistent picture. [Even more helpful would be the ability to see that they've logged Tea Y 7 times and the extent to which they liked/disliked it.] It could also be nice to see the most prolific users for a brand. All I can do right now is to piece together this information by clicking back and forth on everything, which is fun when I'm just prowling the site, but frustrating when I'm actually trying to figure out what I might want to buy.
Similarly, I'd love to be able to click on a user and see, from what they've logged, whether they prefer greens, whites, herbals, etc. Possibly even which brands they tend to log more often. It would be helpful to see that type of trending on even a personal level.
EMPLOYEE0We're definitely in agreement. These are all things we've considered and would love to implement. As the site continues to grow, and more people use it on a dat-to-day basis, we'll have accumulated a wealth of information about the tendencies/habits of tea drinkers. We can then use this to proactively make recommendations as well as connect people who fit their tasting profiles. In the same way that our goal is to have an IMDB-type site for teas, we'd also love to have that for user interactions with those teas. So don't worry, these are in the hopper but will take some time for us to be able to address. Later on it will be more appropriate for this because the data we gather will be more consistent and less skewed by small data samples. Thanks for the suggestion!