Right as I was literally right in the middle of writing up a posting on conducting technical interviews, usually entertaining but useless magazine Valleywag has a really interesting article on Google’s broken hiring process:
Google strives to hire “the world’s best engineers,”and has crafted an “interminable” interview process dotted with puzzles and brainteasers to do so. One little problem: the process tends to give the worst scores to the best future employees.
That’s according to Peter Norvig (pictured), Google’s director of research, former Google director of search quality and former head of the Computational Sciences division at the NASA Ames research center. Here’s what Norvig tells Peter Seibel in a Q&A in the new book Coders at Work (emphasis added):
One of the interesting things we’ve found, when trying to predict how well somebody we’ve hired is going to perform when we evaluate them a year or two later, is one of the best indicators of success within the company was getting the worst possible score on one of your interviews. We rank people from one to four, and if you got a one on one of your interviews, that was a really good indicator of success.
Small suggestion: Maybe Google can take these genius employees and have them, hmmm, we dunno, debug the frickin’ broken interview process. Those who demanded they be hired should probably also be enlisted in the debugging effort. Writes Norvig:
Ninety-nine percent of the people who got a one in one of their interviews we didn’t hire. But the rest of them, in order for us to hire them somebody else had to be so passionate that they pounded on the table and said, “I have to hire this person because I see something in him…”
Unfortunately, Google’s had already done most of its hiring/rejecting and is now has been in layoff mode for much of this year. But, hey, there’s always the next bubble.
UPDATE: A Goolge spokesperson disputed that the company was “in layoff mode,” as we wrote, and stated: “To the contrary, we have been very explicit… that we are stepping our rate of hiring.” Indeed, CEO Eric Schmidt stated in a discussion of Q3 results that “we’re going to invest in people. We’re already stepping up our hiring.” That’s in contrast to earlier this year, when Google had three rounds of layoffs from January through the end of March.
Having never interviewed at Google (though having had the chance), and having no idea how their interviews are really conducted these days, I can’t say with Valleywag’s certainty that the entire interview process is broken. However, this is a great example of a completely broken metric. Obviously the score isn’t used to determine whether the person should be hired or not, so why use it at all? Either get rid of the metric, and admit that the interview process is what it is — completely subjective, all the time (this isn’t a bad thing) — or come up with a new metric. If someone sees something special in a candidate, they’ll be arguing just as hard for them without a nonsense number being attached that doesn’t represent anything real.

El Reg: Cloud storage: It’s strictly for airheads
The Register has an interesting take on the Sidekick/Microsoft-but-really-Sun-and-Oracle-but-really-really-Microsoft debacle. The good bits:
Now, in this regard, I don’t really think that a standards group for cloud storage in particular is necessarily the right approach, versus something more generalized that could apply to all outsourced cloud IT vendors. I don’t believe that storage, in this regard, is any different than any other IT service. After all, while your data can certainly be lost by a storage incident, whether local, remote or somewhere in between, it can also be lost by a logical failure of the IT software infrastructure leveraging that storage. That’s what happened in this Danger business with T-Mobile: the logical failure apparently occurred (if The Register’s writeup is to be believed) when a server in the cluster threw up and trashed the data.
Danger didn’t have appropriate backups. (Oops. More on online vs. offline backups, and physical vs. logical failures, in another post.) In my experience, there’s a certain threshold of reliability and competence where once your physical infrastructure is robust enough, your potential for logical failures far outweighs your potential for physical failures. (Most backup system failures are really logical failures.) It’s this mismatch that makes business continuity planning so difficult.
But they’re right that the industry needs accountability, and it’s probably going to take a major shakeup for that to happen. Right now, there’s just too many vendors, and they’re all too young for us as IT practitioners to figure out which ones are reliable enough for business needs, and which ones aren’t. Like with any fledgling industry, there will be new technologies, there will be acquisitions, and then there will be vendors who produce an enterprise-ready product.
For the time being, we refer to the ages-old axiom: if you want something done right, you’ve got to do it yourself.