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Dobr.AI Interview
42:05
Let's design a parking system. Can you outline the core components?
What vehicle types should we support?
Cars, motorcycles, and buses. Each with dedicated spots.
API Design
1classParkingSystem:
2def __init__(self, num_floors):
3self.floors = []
4self.rates = {"car": 2}
5self.tickets = {}
6# Need to implement this
7
8def park_vehicle(self, vehicle):
9pass# Need to implement this
10
11classVehicle:
12def __init__(self, type, license_plate):
13self.type = type
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Candidate Dashboard
Full Stack Developer Role
May 2023
AC
Alex Chen
Full Stack Developer
92%
Score
MR
Maya Rodriguez
Front-end Engineer
85%
Score
JT
Jordan Taylor
Backend Developer
78%
Score
Platform Capabilities

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Experience a technical interview platform designed with industry standards in mind

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Top Tier
Real-World Skill Assessment
How It Works

Evaluate Real Skills in 3 Simple Steps

Transform your technical hiring workflow with AI-driven project assessments.

1

Define Your Assessment

Choose from expert-designed project templates (system design, coding tasks, marketing drafts) or customize assessments tailored to your specific role requirements.

  • Role-specific project templates
  • Customizable evaluation criteria
  • Supports Engineering, Product, Finance, etc.
Frontend Engineer Round
4 candidates
Alex Morgan
Senior
Scheduled
Jamie Chen
Mid-level
Completed
Taylor Wong
Senior
Pending
Sam Rivera
Junior
Scheduled
2

AI Conducts Collaborative Interview

Candidates work *with* our AI interviewer on the project, demonstrating practical skills, problem-solving, and communication in a realistic, interactive session.

  • Interactive project environment
  • Real-time collaboration simulation
  • Assesses beyond code correctness
Live Interview
In Progress
Byte

Implement a rate limiter class with a token bucket algorithm to control API request flow.

You

I'll create a RateLimiter class that refills tokens over time and checks if requests are allowed based on available tokens.

RateLimiter.js
class RateLimiter {
constructor(maxTokens, refillRate) {
this.maxTokens = maxTokens;
this.tokens = maxTokens;
this.refillRate = refillRate;
this.lastRefill = Date.now();
}
// Check if request is allowed
allowRequest() {
this._refill();
}
}
3

Get In-Depth Skill Analysis

Receive comprehensive reports detailing practical skill proficiency, communication effectiveness, and overall technical fit, going far beyond traditional pass/fail metrics.

  • Detailed skill breakdown
  • Objective, bias-free evaluation
  • Actionable hiring recommendations
Alex Morgan • Assessment Report
86/100
Recommended for hire
Top 15% of candidates
Technical Skills
92%
Problem Solving
88%
Code Quality
85%
Communication
78%
What Sets Us Apart

Why Dobr's AI Interviews Work

Our platform delivers practical, reliable technical assessments that predict real-world performance.

Test Real-World Skills

Assess practical abilities through interactive projects (design, coding, analysis) that mirror on-the-job tasks, not just abstract algorithms.

In-Depth Skill Analysis

Get detailed reports on technical proficiency, problem-solving methods, and communication clarity with objective, standardized criteria.

Save Hundreds of Eng Hours

Automate realistic technical assessments. Schedule interviews 24/7, get instant results, and free up your senior engineers.

Truly Unbiased Evaluation

Eliminate human bias. Our AI provides consistent, data-driven assessments focused purely on technical merit and practical application.

Flexible & Scalable

Easily scale your hiring across roles (Eng, Product, Finance) with customizable project-based assessments.

Beyond Code: Assess Understanding

Our AI probes *how* candidates solve problems, verifying deep understanding and preventing cheating common in static tests.

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Tech Lead - RedBus

"Detailed feedback was spot-on and identified my weak areas precisely."

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SDE - Backbase

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