How to assess software engineers
Go beyond coding tests. Evaluate problem-solving, system design thinking, communication, and technical depth with a competency-first assessment approach that predicts real job performance.
Already a customer? Sign in to your dashboard
Key competencies for software engineers
Problem-solving and algorithmic thinking
Evaluate how engineers decompose complex problems, identify edge cases, and design efficient solutions — not just whether they memorised a LeetCode pattern.
System design and architecture
Assess ability to design scalable systems, make trade-off decisions, and communicate architectural rationale clearly to technical and non-technical stakeholders.
Technical communication
Measure how well engineers explain technical decisions, write documentation, and collaborate in code reviews — skills that determine team velocity.
The right test types for software engineers
Combine multiple assessment types to evaluate the full range of engineering competencies.
Case studies
Present real-world technical scenarios — system outages, scaling challenges, migration decisions — and evaluate strategic problem-solving and trade-off analysis.
MCQ assessments
Test domain knowledge across languages, frameworks, and computer science fundamentals. AI generates questions tailored to your tech stack.
Artifact review
Have candidates review code, architecture diagrams, or pull requests with planted issues. Tests attention to detail, code quality standards, and review skills.
AI voice interviews
Assess communication, system design articulation, and problem-solving approach through real-time conversation with Kaaira.
Situational judgement tests
Evaluate decision-making in realistic engineering scenarios — deadline trade-offs, technical debt decisions, team collaboration challenges.
Multi-test batteries
Combine 2-3 assessment types into a single session with unified competency scoring for a comprehensive engineering profile.
Building a software engineer assessment
A step-by-step approach to competency-based engineering evaluation.
Define competencies
Start with 4-6 core competencies: problem-solving, system design, code quality, technical communication, collaboration, and domain expertise. Set proficiency targets by seniority level.
Choose your test mix
For mid-level engineers: Case study (system design scenario) + MCQ (tech stack knowledge) + Artifact review (code review). Each test maps to specific competencies.
Evaluate with competency-first scoring
Kaairo scores against competencies, not raw test averages. A candidate strong in system design but average in MCQs gets a score reflecting their actual engineering profile.
Beyond coding tests
Traditional coding tests measure a narrow slice of engineering ability. Competency-based assessment captures what actually predicts job performance.
Predicts real performance
Coding tests correlate weakly with on-the-job success. Multi-competency assessment evaluates the skills that actually matter — communication, design thinking, and collaboration alongside technical ability.
Reduces false negatives
Great engineers who are poor at timed coding challenges get filtered out by traditional tests. Case studies and artifact reviews give them space to demonstrate real-world skills.
Transparent and fair
Every score comes from a transparent rubric. Candidates know what they are being evaluated on, and hiring managers can explain every decision.
Explore Related Solutions
Discover more ways Kaairo can help your organization hire and develop talent.
Frequently Asked Questions
Should I still use coding tests for software engineers?
Coding tests have a role for verifying basic technical competence, but they should not be the only assessment. Combine them with case studies, artifact reviews, and AI interviews for a complete picture of engineering capability.
How many competencies should I assess?
4-6 competencies is the sweet spot. More than that dilutes the signal. Focus on the competencies that differentiate strong performers in your specific engineering culture.
Can I assess system design without a live whiteboard?
Yes. Kaairo case studies present system design scenarios where candidates explain their approach in writing. AI voice interviews can probe design decisions conversationally — no whiteboard or live interviewer needed.
How does this work for different seniority levels?
Set different proficiency targets per competency. Junior engineers might target level 2 in system design but level 3 in code quality. Senior engineers target level 4-5 across the board. The same competency framework scales across levels.
Talk to us about your team
Share a few details about your org and what you're trying to solve. We'll follow up with a short call or an async walkthrough of how Kaairo can plug into your hiring, benchmarking, or L&D workflows.