> ## Documentation Index
> Fetch the complete documentation index at: https://docs.hellorecruiter.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Technical Assessment

> Prepare for your AI-powered technical assessment — what topics to expect, how to explain your thinking, and how to interact with the AI evaluator.

Your guide to the AI-powered technical assessment interview. This interview evaluates your domain expertise, problem-solving approach, and technical communication skills.

## What to Expect

The technical assessment is a deeper dive into your skills and knowledge. Unlike the HR screening, this interview focuses on **how you think** and **what you know** in your technical domain.

* **Duration:** \~45 minutes
* **Format:** Conversational with scenario-based and knowledge-based questions
* **Focus areas:** Domain expertise, problem-solving methodology, system thinking, and technical communication
* **Depth:** The AI adapts — it may ask follow-up questions to probe deeper into your answers

### What's Being Evaluated

| Area                 | What the AI Looks For                                             |
| -------------------- | ----------------------------------------------------------------- |
| Technical depth      | Do you understand core concepts in your domain?                   |
| Problem-solving      | Can you break down complex problems into clear steps?             |
| Communication        | Can you explain technical concepts clearly, even to a non-expert? |
| Practical experience | Can you tie knowledge to real-world examples from your work?      |
| Reasoning            | Do you think through trade-offs and edge cases?                   |

<Note>
  The AI evaluates the quality of your reasoning, not just whether your final answer is "correct." Showing your thought process matters.
</Note>

***

## How to Prepare

### Before You Start

* **Review the job description for technical requirements.** Know which skills and tools are listed and be ready to discuss your experience with each.
* **Brush up on fundamentals.** Depending on your field, this could mean reviewing core concepts, frameworks, methodologies, or tools you'll be expected to know.
* **Prepare real examples.** Think of 3–5 projects or challenges where you applied your technical skills. Be ready to walk through what you did, why, and what the outcome was.
* **Practice explaining out loud.** Technical assessments reward clear communication. Practice walking through a problem step-by-step as if explaining to a colleague.

### During the Assessment

* **Think out loud.** The AI gives credit for your reasoning process, not just conclusions. Narrate your thought process as you work through scenarios.
* **Ask clarifying questions.** If a scenario is ambiguous, ask for more details. This mirrors real-world problem-solving and is viewed positively.
* **Be honest about gaps.** If you're unfamiliar with a topic, say so and explain how you'd approach learning it or finding the answer. This is far better than guessing.
* **Use structure.** When answering open-ended questions, organize your response: state your approach, walk through the steps, and summarize your conclusion.

***

## What to Ask the AI

* "Can you clarify the constraints of this scenario?"
* "Should I assume \[specific technology/framework] for this question?"
* "Would you like me to go deeper on \[specific aspect]?"
* "Can I walk through my approach step by step before giving a final answer?"
* "Is this question focused on design, implementation, or both?"

<Tip>
  Asking for clarification is a strength, not a weakness — it shows you think before you act. If you realize you went down the wrong path, say so and course-correct. The AI recognizes self-awareness.
</Tip>

***

## What NOT to Ask the AI

### Don't Try To...

* **Ask for the answer.** "What's the right approach here?" — the AI won't tell you. It's evaluating *your* approach.
* **Ask if you're doing well.** The AI cannot provide real-time feedback on your performance.
* **Request easier questions.** The difficulty is set by the hiring team based on the role's requirements.
* **Ask the AI to solve the problem for you.** Collaborative hints are not part of the assessment format.
* **Copy-paste or reference external resources during the interview.** The AI is evaluating your knowledge, not your ability to search.

### Things That Don't Help

* Jumping straight to an answer without showing your reasoning
* Using excessive jargon without explaining your thinking
* Giving textbook definitions without connecting them to practical experience
* Deflecting with "it depends" without exploring the trade-offs

<Warning>
  Show your work. The AI is designed to evaluate how you think through technical problems, not just what you know.
</Warning>