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Highlighting the Future

1/21/2009

3 Comments

 
Posted by BJ
I’ve come across a cool new application. The product is Hylighter, created by David Lebow, a most interesting person.

David created this product to manage comments provided by multiple reviewers when he was working documents that required input from literally hundreds of people. He found it impossible to manage the comments in a conventional manner and developed this product to allow him to review and capture the comments he received (necessity being the mother, etc.). David will tell you that the product allows for the capturing and capitalizing on the ‘collect knowledge of a group.”

For the purposes of the work we proposal professionals do, I think of this tool as “track changes on steroids” or a “revved up review tool”. Having played with this product a bit and used it for reviewing proposal documents, ’m extremely impressed by this product’s ability to simplify the review process.

We all know how much fun it can be to try to collect, read and then reconcile comments from multiple reviewers. Hylighter makes this much simpler, whether there are just a few reviewers involved or many.

The tool sends a reviewer an invite and directs them to the document which they are to open and read. The document has highlighted area (thus the name) indicating what is to be reviewed, areas previously commented on by others and other information. The reviewer then inputs his or her comments. These comments can be categorized, such a “typo”, “informational inaccuracy”, “non-compliant”, etc.

When the document is opened by the owner, he or she sees the comments in a categorized and prioritized table, making it extremely simple to understand the relationship between comments and to reconcile them.

I encourage you to check out this cool new product which is sure to change the way reviews are handled in the future and become a standard tool in the proposal process.​
3 Comments
Barbara Esmedina
3/26/2016 02:42:25 am

Sounds like the collaboration tool in the RFP Machine software ;-)

Reply
Diane Loudenback
3/26/2016 02:42:40 am

Not quite like the collaboration tool in the Pragmatech toolkit, although I am of course an avid fan of that software.

HyLighter is really a far more advanced capture tool than MSWord for comments made by multiple sources during a review cycle. Instead of having individual documents with track changes to merge (not bad, but let’s face it… after a couple of reviewers, it is tough to follow) or waiting for a document to make the rounds by routing to one person at a time, HyLighter lets all reviewers comment on the same file simultaneously.

Comments can be viewed by all reviewers if you so choose — and this raises the quality of the review process as a whole. Less repetition of the same comment (how many times do we need to be told of the same typo), and actual threaded discussions on meaningful items when users comment on the comments of others– and best of all it is not lost in a series of emails.

Add the capability to categorize comments as well as users and you have something very powerful — and yet the interface and the concept is visually very simple.

Happy to chat about it more OR of course visit HyLighter at http://www.hylighter.com.

Reply
David Lebow
3/26/2016 02:42:52 am

I frequently hear the expression that HyLighter sounds alot like …. In fact, online annotation systems have been around for almost as long as groupware. Today literally 1000s of products exist that enable users to add metadata (i.e., data about data such as highlighting and comments) to a digital page. I do agree that some overlap exists between HyLighter and the RFP Machine, but the two products are designed to solve different problems.

What is unique about HyLighter is that it enables virtually any number of reviewers to engage in threaded discussions tied to specific sections or objects. This is accomplished without overwriting the page with markup and without overwhelming the limited real estate available in the margin.

This capability enhances the document as a medium for the negotiation of meaning and further realizes the potential of social computing for harnessing the collective intelligence of groups and communities.

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