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insighter

Re:Algorithms Interviews: Theory vs. Practice on Monday January 06, 2020 @09:25PM (#21976168)
Does anyone have articles or advice/experience to share on improving a company's interviewing process / culture? I work at a medium/large enterprise software company in SFBA that's well compensated (not quite FAANG level) and sometimes a final round interview will have 5 algorithm style whiteboarding questions which feels excessive and lazy.

I'm interested in:

a) standardization. Right now interviewers pick their individual questions and sometimes the question types. You can't apply a wildly inconsistent measure across anything and expect to have confidence in your findings.

b) interview question diversity. If people have varying strengths and our day to day work goes beyond just solving algorithm style questions (because it does for a huge majority of dev jobs) then a more diverse body of questions seems to be a better yardstick to measure others by. Examples of questions types that seem interesting to add include refactoring existing code, pair programming, small coding project and even weird things I haven't heard of before like the ability to give constructive feedback on design proposals, etc..

I spent years in China and lamented that I couldn't keep up with my Chinese and tech at the same time, so this is awesome to see.