Iain MacDonald started Weedle with the desire to provide a fundamentally better way of connecting people who have skills to people who need them within a trusted environment. Weedle employs 18 people at present, most of whom are mathematically and software orientated, and has users in over 160 countries. Not bad for a company that is only about a year old.
The origins of Weedle began when Iain needed to solve an arboreal problem at his home. He explains further, “I needed to find somebody who could help me cut down some trees at the bottom of my garden. I spent a bit of time asking my friends and my family if they knew somebody but unfortunately they didn’t. Then I went to Google and I found people who said they were very good tree surgeons but they were strangers to me. I found it very hard to trust them in terms of their competence, their value money, their reliability or their trustworthiness.
“I was pretty sure that the right person was out there. That they were out there looking to connect with me and I’m looking for someone with a skill I need and I am trying to connect with them. But the reality is that it is currently very difficult for us to find each other.”
Iain designed Weedle so that people who are searching for someone with a skill can go beyond just depending on how the suppliers have presented themselves, either via advertising or simply having membership of a professional or trade body. Using social networks as a means of verification there is now a way to assess other factors such as reliability and suitability in terms of being able to work with them.
“When you are looking for a lawyer or someone like that, often when a friend recommends them to you and you end up going to the lawyer they can turn out to be not the sort of person you are looking for. We can circumvent that waste of time by being able to see all the details of the person who has the skill before you contact them.
“What we have is a fabric of credibility. Say, I go to Weedle and I make my skill page. In order to be found when someone searches for me there are a couple of things we take into account in the context of our search algorithm. So, the first one is the content of my skill page and does it match for what someone would be searching for. The next element we take into account is who this person is actually connected to. We may have someone who has created a skill page and is connected to fifty people but they may be less credible then someone who has connected a skills page that maybe only connected to five people.”
How does Weedle compare to Facebook and Linkedin?
“Facebook is very good for communicating with your friends and Linkedin is very good for managing your white-collar network of contacts. But it is not so good if you are looking for a plumber or a carpenter.
“Even if you were looking for a corporate lawyer to float your company on the Nasdaq you’ll get a resume or a some type of CV. What people are really looking for is what projects has he or she been involved in, what role did he play, how long did it take him to do it and to see examples of the expertise that he has.
“It’s not just about say, a yoga teacher who simply states they have worked in ABC Yoga for the last five years. On Weedle you will see; this is where they trained, this is where they worked and here is a video of her giving a yoga class. Here are photographs of the yoga studio, here is a list of ten people that are in your network that went to their class.”
How much of a role does Semantic Web technology have in your system?
“It’s really very significant: A lot of sites using search have gone down the hierarchical directory structure route. A person would have to pick from a drop-down box and choose ‘telecom industry’ and then ‘mobile telephony’ and then ‘mobile network.’ It’s very hierachical and pigeon-holes people into specific positions.
“The particular benefit of using a semantic ontology is that we have no hierarchy to the classification of our user skills. If you go on to the site declaring that you are a carpenter then all you need to do is say “I am a carpenter.” We know that we need to present that search result in a population of search results generated when others search for terms like carpenter, woodworker or joiner.
“We can apportion levels of relevance to the skill pages we have versus search strings. Machine learning combined with Semantic Web technology creates a much better user experience.”
The underlying idea that determines credibility and trustworthiness both offline and online is social proof. Any claim you may make about yourself personally or professionally is validated, or not, against how you are perceived by your social network. Professional bodies may declare you competent and award you some sort of certification and send you out the door to ply your trade but it is how you handle your day to day dealings that really count for most people.
Iain has come up with a system that allows you to access the layers of social trust that surrounds us all and enables access to the sort of vital information on someone that would only normally become available over time and after, possibly, a number of encounters.