AI Proficiency Assessment Platform

Evaluate How YourDevelopersWork WITH AI

The only hiring platform that measures AI proficiency across your entire product triad — engineers, product managers, and designers. Stop guessing who can work with AI. Start measuring it.

6
Assessment Types
3 Roles
Dev · PM · Design
AI-Scored
Rubric-Based Reports
Features

AI-Native Assessment

Traditional interviews miss the skills that matter most. We evaluate how your entire product team collaborates with AI.

🎯

Full Triad Coverage

Assess developers, product managers, and designers in one platform. Six assessment types cover AI-first development, debugging, code review, architecture, product strategy, and UX design.

Real-World Scenarios

AI-augmented challenges that mirror actual work — build features, draft PRDs with AI, design UX flows, debug AI-generated code, and architect AI systems.

📊

AI-Powered Scoring

Rubric-based AI evaluation generates detailed reports with dimension breakdowns, strengths, development areas, and hiring recommendations.

🎤

Live Interview Mode

Real-time companion panel for interviewers with rubric scoring, timestamped notes, AI-suggested follow-up questions, and shareable evaluation reports.

🔐

Enterprise Security

SOC2 compliant, GDPR & CCPA ready. Your candidate data is encrypted and protected with industry-leading security.

📈

Predictive Analytics

Data-driven insights across your entire hiring pipeline. Compare candidates, track AI proficiency trends, and benchmark against your own hiring bar.

By The Numbers

Built for Scale

Everything you need to evaluate AI proficiency across your entire product team.

0
Assessment Types
0+
Ready-Made Templates
0
AI Scoring Pillars
0
Roles Covered
How It Works

Get Started in Minutes

A simple 4-step process to assess AI proficiency across your entire product team.

1

Pick a Role & Template

Choose from 30 assessment templates across engineering, product management, and UX design — or create your own.

2

Invite Candidates

Send branded assessment invitations via email. Candidates get a sandbox environment or a live interview session.

3

AI Tracks Everything

Every AI prompt, iteration, and decision is captured. For live interviews, interviewers score rubrics in real-time with AI-suggested follow-ups.

4

Get AI-Scored Reports

Receive AI-generated evaluation reports with dimension breakdowns, strengths, development areas, and hiring recommendations.

Product

Three Assessment Modes

Purpose-built assessment environments for engineers, product managers, and designers.

PairEval — Code Sandbox
solution.ts
test.ts
async function fetchData(url: string) {
  const res = await fetch(url);
  if (!res.ok) {
    throw new Error(`${res.status}`);
  }
  return res.json();
}
AI Assistant
Candidate →Add retry logic with exponential backoff for network failures
AI →I'll wrap the fetch in a retry loop with configurable attempts and backoff delay...
1

AI-Augmented Code Editor

Candidates write code in a real IDE with AI chat assistance, while every prompt and iteration is tracked.

2

Multi-Language Execution

Support for Python, JavaScript, TypeScript, Go, and more with live execution and output.

3

AI Proficiency Scoring

Four-pillar scoring evaluates prompt quality, debugging, code review, and architecture skills.

What We Measure

Six Dimensions Across Three Roles

Comprehensive AI proficiency evaluation for your entire product triad — engineers, product managers, and designers.

01
Engineering

AI-First Development

  • Prompt engineering quality & iteration
  • AI-generated code verification rigor
  • AI debugging & code review proficiency
  • LLM architecture & integration expertise
02
Engineering

AI Debugging & Review

  • AI-generated bug detection speed
  • Model limitation understanding
  • Code review quality for AI output
  • Debugging strategy effectiveness
03
Product

AI Product Strategy

  • AI-powered market research & analysis
  • Product brief quality with AI assistance
  • Strategic reasoning & AI iteration
  • Rapid prototyping with AI tools
04
Product

AI Feedback Loops

  • Experiment design with AI assistance
  • Data synthesis & insight extraction
  • AI-guided hypothesis testing
  • Feedback collection workflow design
05
Design

AI-Assisted UX Research

  • AI-powered persona & journey mapping
  • Design collaboration with AI tools
  • Rapid prototyping efficiency
  • Iterative refinement through AI prompts
06
Design

AI Design Systems

  • Component spec generation with AI
  • Information architecture with AI analysis
  • Design system compliance & consistency
  • Accessibility-aware AI collaboration
Testimonials

Trusted by Hiring Leaders

See why top teams choose PairEval to find their next AI-proficient hires.

PairEval transformed how we hire. We finally have a data-driven way to assess how candidates actually work with AI tools, not just whether they can solve toy problems.

SC
Sarah Chen
VP of Engineering, TechScale Inc.

The live interview mode with AI-powered rubric scoring has cut our evaluation time in half. Interviewers love the real-time companion panel and suggested follow-up questions.

MR
Marcus Rodriguez
Head of Talent, CloudFirst Labs

We use PairEval for PM and UX roles too. The AI-generated reports with dimension breakdowns give our hiring committees exactly the signal they need to make confident decisions.

PK
Priya Kapoor
Director of Product, InnovateCo
FAQ

Frequently Asked Questions

Everything you need to know about PairEval.

Ready to Assess Your Entire Product Team?

Measure AI proficiency across developers, product managers, and designers. One platform for your complete hiring triad.