How do you approach giving feedback to technical candidates, both positive and constructive? What's your general philosophy?

When I give feedback to technical candidates, I make it a point to be clear, actionable, and balanced. It's important to acknowledge their skills, strengths, and potential while addressing areas for improvement in a way that's respectful and encouraging. My goal is always to provide feedback that feels constructive and motivating. For example, I like to highlight what they did well-whether it's their problem-solving approach or the efficiency of their code-and pair that with suggestions for growth. If a candidate had difficulty optimizing an algorithm, I might say something like: "I really appreciated how methodical you were in tackling the problem. To take it a step further, you could explore alternative data structures to improve performance in similar situations. This would make your solution even more efficient." I believe feedback should be a learning experience. Whether or not they get the role, candidates should walk away feeling valued and inspired to keep improving. That's what makes the feedback process meaningful for both sides.

Good day, As a technical candidate for jobs and I provide feedback I try to keep my feedback balanced between positive things and things that the candidate can indeed work on. My broad approach here is to give feedback that is specific, actionable, and empathetic, identifying areas that can help the candidate grow, but also holding up a mirror to their strengths. For positive feedback I try to highlight the candidates technical skills, reasoning and any creative solutions they approached. I make sure to be specific about what they did well for example, "Your approach to debugging the issue was methodical and efficient. I liked especially how you validated each step of the process using test cases." This allows the candidate to know what they have to improvement on and what they can accomplished. In giving constructive criticism, I try to be direct and specific about what could be done better without saying in vague terms. Rather than just saying, "Your code can be cleaner," I might say, "I see a lot of if else statements in your code, it will be more readable and scalable, when handling larger data, if those pieces of the code can be encapsulated in reusable functions. This gives the candidate clear next steps and treats the feedback as developmental rather than punitive. I also try to foster a supportive environment where the candidate feels they can ask questions and share their challenges. The practice encourages a growth mindset, enabling them to reframe feedback as a channel for continuous learning rather than a critique.