Artifact Review for Analytical Thinking

Test how candidates review real-world artifacts — code, documents, or designs — with planted issues. Measure attention to detail, analytical reasoning, and the quality of their improvement suggestions.

Key Features

Real Artifacts, Planted Issues

Candidates review realistic documents, code snippets, or designs with deliberately planted issues — testing their ability to spot problems in context, not in isolation.

Configurable Artifact Types

Choose from code reviews, document reviews, design reviews, or custom artifact types. Set sub-type preferences to match the role's actual work.

Deterministic + AI Hybrid Scoring

Issues found are scored deterministically (did they find it or not?), while the quality of their analysis and improvement suggestions is scored by AI — combining precision with depth.

Competency-Mapped Evaluation

Every planted issue maps to a competency. Scores roll up into per-competency results so you see exactly where a candidate's review skills are strong or weak.

Multi-Test Integration

Combine Artifact Review with Case Studies, SJT, MCQ, and AI Voice Interviews in a single assessment. Weighted scoring aggregates all test results.

Structured Improvement Suggestions

Candidates don't just flag issues — they propose fixes. Their suggestions are evaluated for clarity, correctness, and depth of understanding.

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