New Features at Judy’s Book
Posted on September 24th, 2007 in Deals, Judy's Book, Local, Product, Technology | Comments
Last Friday, we had an important release at Judy’s Book which included several new features. Some visible to consumers, others more in the back end, but all of which should lead to higher quality deals on site.
The primary elements of this release were:
- Deal Approval Queue
- User Posted Local Deals (supported by Local Editors in select geographies)
- Map Improvements
- Fall Promotion Support
You can see some of the results of this work in Seattle, New York, Atlanta and Chicago.

The entire team came together and cranked to make this happen in a very short period of time and I’m really excited by how things turned out.
For those of you who are interested in the gory details:
Deal Approval Queue
The intent here was to provide a way to support UGC but to enforce quality standards. User contributed deals are of no value if they are spammy, irrelevant, miscategorized etc. The approval queue allows us to solicit content from users but provides a mechanism for us to ensure that only high quality deals make it onto the site. All user posted deals go into the Deal Appproval Queue and remain there until they are explicitly approved. The system also stores the history of approved and rejected deals so we can use it to train spam detection systems.
Content quality is a critical part of the user experience (something Erin & Chris have pounded into me - thanks guys) and you need to be very focused on keeping it high.
User Posted Local Deals
To this point, we had supported adding online deals to the system but we didn’t have a public way for users to contribute local deals. One aspect of the local deal post process that creates complexity is the fact that you have to provide a way for users to add business listings without creating duplicates in your data. In addition, no one wants to type in a complete address, so you have to facilitate search. Oh and by the way, you need to prevent people from spamming your listing database. (Dave has a great post on some of the fun things that happen in local listing spam.)
The Deal Approval Queue was the strategy we came up with to control the flow of data into the system. Because we had a mechanism for screening content, we wanted to make it as easy as possible to participate. This led to us to move from a model where posting was for Judy’s Book members only to a model where all you needed was an email address. If at some point in the future, you sign up for membership, all your deals will be available in your profile.
In addition to supporting user generated content, we’ve been actively recruiting local editors in select geographies to ensure a high quality base of local content. Erin’s written about this on the Judy’s Book blog and I’d touched on the subject earlier in a more generic way in my post on aggregation and UGC.
Map Improvements
The map now displays stores with the most popular local deals in any given category. In addition, you can pan and drag the map and it will continually update in order to provide you with a list of the best local stores that it can.

Fall Promotion Support
We’re currently running a daily giveaway where users can win a $25 gift certificate to a local boutique of their choice and there’s a $1,000 grand prize at the end of the promotion. We needed to put in a significant amount of work to support the marketing efforts around this promotion. The goal was to provide very prominent placement without being intrusive or degrading the user experience for those who weren’t interested in the promotion.

I think the team did a great job coming up with an implementation that works. If you come to the site looking for the promotion, or click on a promotion call out, we use javascript to grey out the screen and present you with an overlay that provides a streamlined way to participate. In addition to signing up with your email address, if you post high quality local deals, you gain additional entries into the giveaway.
The user flow around the promotion is quick and easy when you step through it (as it should be). Features that are easy to use, however, are typically features that required a great deal of thought and effort. This implementation was no exception. In order for something to feel easy for a user, a lot of people put a lot of work in behind the scenes.

