WeCP AI Copilot is powered by a mix of models including OpenAI's GPT-4, alongside WeCP's own proprietary AI technology. It is a dynamic, intelligent system that's focused on making tech hiring as accurate, productive, and seamless as possible for you.

What it means: Copilot's AI algorithms analyze the specific skill set needed for a job role and design questions tailored to assess those skills.

Example: If you're hiring for a role focused on JavaScript development, the Copilot can generate questions that test various aspects of JavaScript, such as closures, promises, and ES6 features.

What it means: Beyond just creating the question, the Copilot can also set up test cases against which the candidate's answers will be evaluated. This is crucial for coding questions where there might be multiple correct approaches but only some efficient ones.

Example: For a question that asks a candidate to write a function that reverses a string, WeCP AI Copilot could automatically generate test cases like:

What it means: A question gist is essentially a brief summary or explanation that provides context for each question. This is helpful for reviewers or interviewers who may not have the time to fully understand a complex problem statement.

Example: For a machine learning question on decision trees, the gist could be: "This question tests the candidate's understanding of decision tree algorithms, specifically focusing on handling overfitting."

What it means: After a candidate takes an assessment, a detailed report is generated. WeCP AI Copilot can summarize this report into key takeaways, such as strengths and weaknesses, helping you make faster decisions.

Example: A candidate's report shows scores across multiple domains like data structures, algorithms, and problem-solving. The Copilot can summarize this as: "Strong in data structures (95%), average in algorithms (70%), needs improvement in problem-solving (60%)."

What it means: If you have specific queries about a candidate's skills that may not be fully captured in the report, Copilot can analyze the detailed report and provide answers.

Example: If you ask, "How did the candidate perform on recursion questions?", Copilot could respond with: "The candidate answered all recursion-based questions correctly, demonstrating a strong understanding of the concept."

What it means: When setting up coding questions for assessments, you often have to provide a "code stub" or a boilerplate code snippet in the programming language that the candidate will be using. This is to help them get started quickly and focus on solving the problem instead of setting up their environment. The copilot can automatically generate these code stubs in over 40 different programming languages.

Example: If you have a coding question that asks candidates to implement a function to find the factorial of a number, the code stub in Python might look something like:

What it means: After designing a question, test cases, and code stubs, the next step in a technical assessment is often deploying these elements in an environment where candidates can actually code and run their solutions. WeCPs Copilot automates this process by deploying the designed question, along with its test cases and code stubs, to a virtual machine (VM). This ensures that the question is not just designed but is also evaluation-ready.

Example: Let's say you've designed a question that asks candidates to implement a sorting algorithm. Copilot would take that question, generate test cases and a code stub (perhaps in multiple languages), and then deploy all of these components to a secure VM. Once a candidate logs in for their assessment, they'd find this question ready for them to start coding. The VM would already be set up to compile and run their code against the test cases, providing real-time feedback.

This feature streamlines the assessment preparation process, ensuring that not only are your questions precisely what you need them to be, but they're also immediately ready for candidates to tackle. It takes care of the technical overhead so you can focus on evaluating the results.

What it means: After candidates complete their assessments, the next step in the hiring process is typically the interview stage. Manually comparing schedules, finding suitable time slots, and sending out invites can be a tedious task. WeCPs Copilot automates this by scheduling interviews for candidates who have been shortlisted based on their assessment performance.

Example: Imagine you have 10 candidates who scored above a certain threshold in the assessment round and are now ready for interviews. The Copilot could integrate with your calendar (or the calendars of your technical interviewers) to find available time slots. It would then send out invites to candidates with these time slots, allowing them to pick a slot that works for them or propose a new time if needed.

This scheduling feature serves as a logistical asset, allowing you to seamlessly transition from the assessment phase to the interview phase without manual intervention. This not only saves time but also ensures that interviews are scheduled in a timely manner, improving the candidate experience.

What it means: Keeping candidates engaged and informed is crucial for a positive experience, but doing this manually for each candidate can be labor-intensive. WeCP's Copilot has the capability to engage with candidates in a personalized manner during both the assessment and interviewing stages, sending them tailored messages, updates, and even tips based on their progress and performance.

Example: Let's say a candidate is halfway through an assessment but hasn't submitted any answers for the past 10 minutes. WeCP AI Copilot could send a gentle reminder or motivational message like, "You're doing great! Don't forget to submit your answers when you're ready." Similarly, after a successful interview, the Copilot could send a personalized message such as, "Congratulations on completing your interview! We're impressed with your skills and will get back to you soon."

By automating these interactions, the WeCP AI Copilot not only keeps the candidates engaged but also significantly enhances their experience. It mimics the kind of attention and feedback they might receive in a face-to-face interaction, making the digital assessment and interviewing processes more humane and engaging.

To start using WeCP AI Copilot, simply visit WeCP's Onboarding Page; there is a waitlist that you'd be put in. You can try a free 14-day trial of the Copilot in your workspace now 😃 At the end of the trial, you'll only be charged per usage.