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Questions about community feedback are the same for all candidates, and understanding the design of what the community wants from you and your company can give you an insight into what makes a good contributor or a bad one. For example, if you're considering hiring an artist to help revamp the brand for your app, ask the candidate to demonstrate a few examples of how they would envision your app, or to recreate the functionality you believe a user might want based on past designs and user research. This will help you understand both their vision and their creativity when it comes to aesthetics.

An engineering interview is a chance to discuss your expertise about the technologies you used in the previous roles, which is one of the best ways to know you are the right fit for the role. If you are hiring for a role with limited technical requirements, ask the candidate about their previous experiences with a given technology.

Your digital team is likely tasked with designing and implementing the development environment for your users, and knowing how to write good code is the most solid reason why you should hire a developer. If you are hiring for a role with flexible requirements, ask the candidate to show you how they may have implemented a specific task to write flawless code.

A Machine Learning engineer is expected to have an in-depth knowledge of machine learning concepts and practices. As such, before your interview, find a couple of lectures or tutorials that cover some of the basics of ML and then play it back to show the candidate how much you've learned. That can help you find qualified candidates that will add immense value to your team. d2c66b5586

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