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Wednesday, September 26, 2007

Minti: Parenting Advice For The UGC Generation

Minti offers a collaborative parenting advice service that ignores the one-to-many we know best style service that is the norm in this space, and instead empowers individuals to share their stories and experience.

As Michael Arrington wrote his initial review of the site in March 2006, the overall concept of Minti isn’t entirely new. As a service it sits somewhere between an advice site such as BabyCentre (a site I visited regularly when I was on the road to parenthood) and a forum. The difference is in the implementation.

Weighing User Generated Interactions

Minti is powered by the Vibe Engine, a custom built CMS owned by Vibe Capital (the majority shareholders of Minti) that also powers sites such as Refurber.

Minti has over 20,000 active registered members (as opposed to inactive or casual visitors, they are doing 7 figures in traffic) who comment, vote, tag, and contribute advice. Consider something like Breastfeeding; Minti has many user generated advice articles on the subject but it’s how they are weighed that makes the service usable and perhaps something different.

minti1.pngThe Vibe Engine weighs votes on an article based on a number of factors. Anyone can vote, but an unregistered visitor’s vote is not weighed as heavily as a registered user. Users themselves fall into ten member categories based on the amount of activity the undertake on Minti itself. Each level has a higher weighing meaning that users who are more active have a stronger vote than those who aren’t. It should be noted that none of this is evident to the user; these are all primarily backend levels, although at certain levels users get extra privileges including the ability to mark a contribution for review/ deletion is it is not of a reasonable standard. Users at higher levels also get to vote on reviews/ deletions as well in a truly distributed management model where regular users have ownership in decision making.

Overall the model delivers user rated results that serve to filter lots of information in a more accessible fashion for all readers.

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