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Collaborative Applicant Management with Startuply
- LukeG 18y agoLet us know what you think! Your feedback is critical for us.
- joshwa 18y agoI'm assuming this doesn't mean that my resume is now publicly accessible on Scribd, right?
- LukeG 18y agoWait you didn't want it out there? Sht. Ha no, your resume is not available - everything we upload to Scribd is private.
- j2d2 18y agoThis site is blocked by my companies firewall. It appears you've got yourself on some lists for "Spam Urls". I'm not sure what that reason actually means, but I know my employer buys the list of sites to block from some third party.
- LukeG 18y agoThanks for letting us know - we're looking into this now.
- qhoxie 18y agoI think the interface is very aesthetically pleasing, and everything that I have used thus far seems to be quite intuitive. One issue worth looking at (not a priority) is that size of all the components you load, as the landing with all the market, js, and css is rather heavy.
- deleted 18y ago[deleted]
- Alex3917 18y agoI think the best way for Startuply to create value is to go through the academic literature and identify hiring best practices from organizational behavior and other fields. The site should then guide employers to hire using empirically proven best practices without requiring them to understand the theory behind the model or even realize that they are using one of these models. Trying to apply the the methods collaborative news filtering sites to hiring seems like a bad idea. (It sounds like you are trying to write an applicant quality predictor or something similar, unless you are just tracking the quality of applicants from different referral sources to optimize your advertising dollars.) Especially in this case, where showing an evaluator the judgments of previous evaluators creates an information cascade, which Surowiecki writes about in the Wisdom of Crowds.
- LukeG 18y agoThanks Alex. I think this latest feature is much more basic than that; we're not implementing a collaborative filtering algorithm for applicants. We let startups rate everyone who applies for their job. We think this helps, as everytime they log in, they can see who their preferred applicants are. The "collaborative" part of this just refers to the fact that we make it easy for multiple people on their team to rate a resume. A positive side effect of this is that we get data about how good our candidates are (or how good startups think they are, which is generally what counts here). This will let us focus our very limited resources much more accurately. "Empirically proven best practices" are tough in HR, especially for small companies, because every startup has such a distinct personality. This idea of "fit" is huge, and it's something we're working to address, but we also think it's important for our process to be as transparent as possible in such murky territory.
- Alex3917 18y agoThanks, I think I see what you're getting at now.
- joshwa 18y agoSee http://www.path101.com/explore/ http://www.path101.com/explore/
- morbidkk 18y agowhat I would love to see is nice recommendation engine in the background which would notify all the job seekers and startup employers to get what they want. It has to be accommodating enough to return varying results depending on the interest of the technology,location etc. It is there in some of the existing job portals but some unique ways 1.which would be more effective even in case of huge data set. 2.To arouse interest in people who are registered there but not actively seeking jobs. 3.where people would like to get co-founders/collaborators. I know it is easy to think but hard to implement and that too within fixed scope of time and motivation :) Let me know your thoughts on this
- babul 18y agoThis reminds me of http://www.razume.com http://www.razume.com