How to prepare, interview, and evaluate for technical roles

Step 1: Developing technical questions

Identify key skills and knowledge areas

Start by identifying the key skills and knowledge areas required for the role you are hiring for. For engineering roles, this might include programming languages, algorithms, and system design. For data science roles, focus on statistics, machine learning, and data manipulation. For design roles, prioritize user experience, visual design principles, and software proficiency.

Prompt ChatGPT:

List the key skills and knowledge areas required for a [role] focused on [specific domain if applicable].

Creating questions with ChatGPT

Now create relevant and challenging technical questions. These questions should cover various difficulty levels and assess both theoretical knowledge and practical skills. Ensure that the questions are clear, concise, and designed to gauge the candidate's problem-solving abilities.

Prompt:

Generate a set of technical interview questions for a [role] candidate, including questions on [your specific needs selected from the previous prompt].

Step 2: Conducting technical interviews

Structuring technical assessments

Structure the technical assessments to include a mix of coding challenges, theoretical questions, and real-world problem-solving scenarios. Allocate specific time for each section and provide clear instructions to the candidates. This structure helps in assessing different aspects of the candidate's technical capabilities.

Prompt:

Design a structured technical assessment for a [role] candidate, including tasks associated with the questions you previously shared.

Use AI tools for coding and problem-solving evaluations

Incorporate AI tools to evaluate coding and problem-solving skills efficiently. Platforms like HackerRank or LeetCode can be used to administer coding challenges, automatically score responses, and provide detailed analytics. These tools help streamline the evaluation process and ensure consistency in assessments.

Prompt:

Create a plan to integrate AI tools like [AI tool] into the technical interview process for [role] candidates.

Now that you've prepared your questions and conducted the technical interview, it's time to evaluate the candidates' performance. The following steps will help you assess their technical skills objectively and thoroughly.

Step 3: Evaluate technical candidates

Defining evaluation criteria

Define clear evaluation criteria to assess candidates' performance during technical interviews. Criteria may include code quality, problem-solving approach, efficiency, creativity, and communication skills. Having well-defined criteria ensures objective and consistent evaluation of all candidates.

Prompt:

Develop a set of evaluation criteria for assessing technical interview performance for a data analyst role.

Score technical assessments

As an alternative to a subjective evaluation, you can also score technical assessments by analyzing coding performance, detecting patterns, and identifying strengths and weaknesses with an AI-powered tool. These can provide insights into candidates' problem-solving processes and highlight areas that require further probing during follow-up interviews.

Prompt:

What AI tools might be helpful to score the outcome of a technical assessment?

AI can help you customize creative technical interviews that let you explore and evaluate the skills critical to your business’ success.

This tutorial was created by Jonah.