Structured Interview vs Work Sample Test: Which Predicts Performance Better?

The short answer

Both are at the top of the predictive validity charts. In Sackett et al. (2022), the corrected validity coefficients sit around r = 0.42 for structured interviews and r = 0.33 for work samples. Older Schmidt & Hunter (1998) estimates put work samples slightly higher; the field has been arguing about exact numbers for thirty years.

The practical takeaway hasn't changed: these are the two methods worth basing a hiring loop on. Almost everything else is incremental.

The interesting question is not "which is better in the abstract" but "which is better for the decision you are actually trying to make."

What each method actually measures

Structured interview

The candidate answers a fixed set of questions tied to job-relevant competencies. Every candidate gets the same questions. Every answer is scored against the same anchored rubric. The interviewer's job is to elicit and score, not to discover.

What it measures well:

• Verbal reasoning under pressure. Can the candidate think out loud, structure an answer, and respond to follow-ups?
• Past behavior in similar situations. Behavioral questions ("tell me about a time when…") tap into a candidate's track record.
• Communication. Will this person actually be able to collaborate with the team?

What it measures poorly:

• Hands-on craft. A candidate who can describe great code is not necessarily a candidate who writes great code.
• Sustained focus on a non-trivial task. Twenty-minute slices don't tell you who can hold a problem in their head for two hours.

Work sample test

The candidate performs a representative task drawn from the actual job. Designs of this are detailed in our work-sample test design guide.

What it measures well:

• Direct job performance. This is the whole point. You are watching the thing you are hiring for.
• Output quality. The artifact exists. You can grade it.
• Tool fluency. Does this person actually know their way around the editor, the language, the framework?

What it measures poorly:

• Communication and collaboration. A solo work sample tells you nothing about how someone reasons with a colleague.
• Adaptability to novel problems. A 90-minute task is necessarily scoped; it can't probe how the candidate would attack an open-ended challenge.

Where the methods overlap, and where they don't

Three predictive-validity studies — Roth et al. (2005), Schmidt & Hunter (1998), and Sackett et al. (2022) — agree that structured interviews and work samples each add incremental validity over the other. Translation: combining the two is meaningfully better than either alone, because they aren't measuring the same construct.

The chart that matters:

When the structured interview wins

• Senior leadership roles. You are hiring for judgment over years, not for a specific artifact. Structured behavioral interviews are the right primary tool.
• Pure collaboration roles (manager, coach, EM track). The job is the conversation.
• You cannot ethically simulate the work. Some jobs — therapist, financial advisor, certain medical roles — can't be honestly shrunk into a 90-minute sample.
• Candidate-pool sensitivity. If a long work sample would push qualified candidates out of the funnel, a tight structured interview is the right trade.

When the work sample wins

• IC craft roles. Software engineers, designers, data analysts, copywriters. The artifact tells you the thing the interview can only approximate.
• High-stakes hires where mis-hires are expensive. The work-sample cost amortizes quickly.
• Roles where interviewers consistently disagree. The rubric on a tangible artifact disciplines disagreement faster than rubrics on conversation.
• Roles with legal-defensibility concerns. A work sample is a direct sample of the job. Courts and regulators understand that.

Why most teams should use both

If you have one slot in the loop, pick the work sample for craft roles and the structured interview for leadership roles. If you have two slots — and most loops do — use both, and design them to probe different competencies.

A typical strong engineering loop:

1. Screen: 30-min structured interview (motivation, recent project, communication).
2. Take-home or on-site work sample: 90 minutes, self-contained, rubric-graded in 15 minutes.
3. Walk-through interview of the work sample. (Why this matters.)
4. Structured behavioral round for collaboration, ownership, conflict.

Total: ~4 hours of candidate time. Two of the four rounds are running the highest-validity methods. The other two are squeezing extra signal from the work sample artifact and probing collaboration dimensions a work sample can't reach.

The integrity caveat

In 2026, a work sample done unsupervised is no longer a private artifact. AI coding assistants can produce a credible first draft of most take-home tasks. A high-validity test is not a high-validity signal if the candidate didn't actually produce the answer.

Three mitigations:

• Pair every take-home with a walk-through interview.
• Use integrity signals — keystroke patterns, code coherence, tab-switch — to flag suspicious sessions for closer review.
• Lean on on-site or live work samples when stakes warrant the extra logistics.

How ClarityHire fits

ClarityHire ships both halves of the stack:

• Structured scorecards with anchored rubrics, identical across every interviewer.
• Work-sample templates with run-real-code sandboxes and per-language rubrics.
• Integrity signals on take-home submissions so the validity of the work sample survives contact with AI.

Pick the right method for the role. Then run it the same way for every candidate. The discipline is where the validity actually lives.