Tech Interview Platform

Technical Interviews
That Give You Data,
Not Opinions.

iVerified's technical interview platform gives every engineering candidate the same structured assessment — live coding in 18+ languages, AI proctoring, and rubric-based scoring that produces comparable data for every hiring decision.

Explore the Platform
18+ LanguagesAI ProctoringRubric Scoring 600+ PanelistsSession RecordingATS Integration
solution.java
test_results
▶ Run
⚡ Test
1// LRU Cache Implementation
2class LRUCache {
3  private int capacity;
4  private LinkedHashMap<Integer,Integer> cache;
5 
6  public LRUCache(int capacity) {
7    this.capacity = capacity;
8    cache = new LinkedHashMap<>(
9      capacity, 0.75f, true);
10  }
11 
12  public int get(int key) {
13    return cache.getOrDefault(key, -1);
14  }
Test Results
Test 1: get(1) → 1  ·  Expected 1
Test 2: put(3,3) → null  ·  Expected null
Test 3: get(2) → -1  ·  LRU evicted
Test 4: Capacity = 2
Test 5: Edge case — empty get
4/5 tests passing · Execution: 12ms
Assessment Structure

Three Phases. One Consistent
Standard for Every Candidate.

Every engineer assessed through iVerified goes through the same structured three-phase evaluation — no shortcuts, no exceptions.

Phase 01
01

⚡ Sprint Round

⏱ 15 Minutes
  • 8 rapid-fire technical Q&A questions delivered one at a time
  • Answers stream live to the interviewer panel with expected hints
  • One question at a time — candidates cannot go back
  • Auto-advances to Coding Quests when timer expires
  • Assesses technical breadth and communication under pressure
Phase 02
02

💻 Coding Quests

⏱ 45 Minutes
  • 3 coding problems of increasing difficulty: Easy, Medium, Hard
  • Full VS Code-style Monaco editor with 18+ language support
  • Run code against custom inputs and see real stdout/stderr output
  • Test cases provide pass/fail feedback per test against expected output
  • Every keystroke synced to the interviewer's panel in real time
Phase 03
03

📊 Evaluation

Post-Submission
  • 8–9 rubric criteria scored 1–4 with defined anchors per level
  • Per-criterion notes for specific observations and context
  • Quest completion status: Yes / Partial / No for each problem
  • Final hire recommendation from Strong Yes to Strong No
  • Auto-generated evaluation summary with session recording link
🤖
AI Template Generation: Don't have a template for the role? Describe it and iVerified generates a complete sprint question set, three coding quests with starter code and test cases, and 8–9 rubric criteria — tailored to the role and seniority — in under 60 seconds using GPT-4o.
Platform Features

Every Capability. Deeply Built.

Not a thin wrapper — every feature in iVerified is designed specifically for the way technical hiring actually works.

Live Code Editor

A Real Editor. Not a Toy Code Input.

The Monaco editor used in iVerified is the same engine that powers VS Code. Candidates write real code in a real environment — with syntax highlighting, auto-complete, and real-time execution. Every keystroke they type appears on the interviewer's view simultaneously.

  • Monaco editor — the same engine as VS Code
  • 18+ programming languages with syntax highlighting
  • Run code against custom stdin and see real stdout/stderr
  • Predefined test cases with pass/fail feedback per test
  • Keystroke-level sync to the interviewer — no refresh required
  • 5-second execution timeout · 128MB memory limit (Judge0)
Code Execution● Live Sync
public int maxSubArray(int[] nums) {
  int max = nums[0], cur = nums[0];
  for (int i = 1; i < nums.length; i++) {
    cur = Math.max(nums[i], cur + nums[i]);
    max = Math.max(max, cur);
  }
  return max;
}
Test 1: [-2,1,-3,4,-1,2,1,-5,4] → 6
Test 2: [1] → 1
Test 3: [5,4,-1,7,8] → 23
3/3 tests passed · 8ms · 42MB
Rubric-Based Scoring

Scores That Mean the Same Thing Every Time.

Every criterion in iVerified's rubric has four defined anchors — descriptions of exactly what a 1, 2, 3, and 4 looks like for that specific dimension. That means a score of 3 on "Algorithm Design" assigned by one interviewer means the same thing as a 3 assigned by a completely different person on a different day.

  • 8–9 criteria per template with role-specific definitions
  • 1–4 scale with written anchors per score level per criterion
  • Optional per-criterion notes — interviewers document what they observed
  • Quest completion: Yes / Partial / No for each coding problem
  • Average score auto-calculated across all criteria in real time
  • Scores auto-written to your ATS on recommendation submission
Rubric PanelInterviewer View
Language Fluency
1
2
3
4
Algorithm Design
1
2
3
4
Code Correctness
1
2
3
4
Communication
1
2
3
4
System Design
1
2
3
4
Average Score: 3.4 / 4.0
⭐ Strong Yes
AI Proctoring

Remote Integrity. Automated. Always On.

iVerified monitors the candidate's browser environment throughout the assessment — flagging and logging any behaviour that might indicate a violation. Every event is timestamped, included in the evaluation summary, and reviewed by the interviewer — not used to automatically disqualify anyone.

  • Tab switch detection — any window or application switch is flagged
  • Fullscreen monitoring — exit triggers an alert and on-screen warning
  • Face detection — no face or multiple faces immediately flagged
  • All events timestamped and included in evaluation summary
  • Interviewer applies judgment — no auto-disqualification
Proctoring Status● Active
📹
Video Conference
LIVE
🔴
Session Recording
REC
👁️
Face Detection — 1 face in frame
OK
🖥️
Fullscreen — active, 0 exits
OK
⚠️
Tab Switch — 1 event at 00:08:22
1 EVENT
1 minor event logged. Interviewer reviews and determines impact on scoring.
Assessment Templates

8 Pre-Built Templates. Or Generate Your Own.

Every template is ready to use out of the box — or fully customisable. For any role not listed, the AI generator builds a complete assessment in under 60 seconds.

Java Microservices

8–12 years
KafkaCircuit BreakersDistributed
⚙️

DevOps Engineer

5–7 years
KubernetesCI/CDObservability
🧪

SDET

7–9 years
AutomationRace ConditionsFlaky Tests
🤖

Java Fullstack + AI

5–10 years
RAGEmbeddingsLLM
⚛️

Java Fullstack + React

8–12 years
HooksN+1 QueriesSSR
🐍

Python Fullstack + AI

5–10 years
ML PipelinesMLOpsFastAPI
🗄️

Pro*C Developer

5–8 years
Embedded SQLOracleCursors
🤖

Generate with AI

Any role. Any stack. Complete assessment in 60 seconds.

Language Support

18+ Languages. One Editor.

Every language runs in a sandboxed Judge0 execution environment with real stdout/stderr output, test case validation, and 5-second timeout enforcement.

C
Ruby
Rust
Kotlin
Swift
Scala
PHP
R
Bash
+ More
Scoring System

A Scale That Actually Means Something.

Unlike vague 1–10 scales, iVerified's 1–4 rubric has defined anchors — every score level is described for every criterion, so scores are consistent regardless of who assigned them.

ScoreMeaningIndicator
4 — ExcellentExpert-level. Idiomatic code, handles all edge cases, proactively explains trade-offs and design decisions without prompting.Rarely needs prompting. Goes beyond the requirements.
3 — GoodSolid understanding. Meets the expectations for the role with minor gaps. Can implement efficiently with light guidance.Meets the bar. Would hire for this role.
2 — Below AverageKnows the basics but struggles significantly with implementation. Requires frequent clarification and cannot complete complex tasks independently.Below bar. May need more experience.
1 — PoorCannot demonstrate basic understanding or complete assigned tasks. Fundamental gaps that cannot be addressed with onboarding.Not ready for this role.

Strong Yes

Avg 3.5+

Exceptional. Clearly exceeds requirements. Would advocate strongly to hire.

Yes

Avg 2.8–3.5

Good hire. Meets or exceeds requirements for the role as defined.

Maybe

Avg 2.2–2.8

Borderline. Notable gaps but may suit a different role or seniority level.

No

Avg 1.5–2.2

Does not meet the bar. Would not recommend for this role.

Strong No

Avg <1.5

Significant deficiencies across multiple areas. Clear reject.

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Technical Interviews?

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