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The situation

A 25-person marketing agency in Lisbon is hiring a senior content strategist. The founder’s favourite step is the take-home brief: candidates get a real client’s product launch, a deck template and “as long as you need”. The best submission is outstanding — so good that, weeks later, a version of its campaign idea appears in a pitch to that same client. The candidate who wrote it was not hired. She sees the campaign on LinkedIn.

Around the same time, two other strong candidates drop out of the process. One has two children and a full-time job and could not find the eleven hours the brief really needed. The other, who is dyslexic, asked for extra time and was told the deadline was “the same for everyone”. The agency ended up with a good hire, a reputational problem, an awkward conversation with its lawyer and a smaller, less diverse shortlist than it started with.

Work samples — asking candidates to do a slice of the real job — are one of the most intuitive and best-supported ways to choose between people. They are also one of the easiest to get wrong. Badly designed, they test free time rather than skill, exploit candidates’ unpaid labour, expose the company to intellectual-property disputes and quietly screen out carers and disabled applicants.

This guide, part of the Finding the Right Person hub, shows how to design a fair task: what the evidence says, which format fits which role, time limits and when to pay, who owns the output, adjustments, scoring rubrics and how to handle AI in take-home work. It sits between the interview question sets by role and the final hiring decision.

In short
  • Work samples predict performance well; a 2022 re-analysis puts their validity at about 0.33, below structured interviews but above most other methods.
  • The best task is short, realistic, scored against a rubric agreed in advance and taken only by a shortlist.
  • Cap take-home tasks at two to four hours; pay for anything longer, and treat paid trial days as work in most countries.
  • Use fictional or historical material, state in writing that the candidate owns their work, and never use it without agreement.
  • Offer adjustments to everyone and write an explicit AI-use policy — then test understanding in a follow-up conversation.

What the evidence says, read carefully

For two decades the most quoted figures in selection came from Frank Schmidt and John Hunter’s 1998 review, which put work-sample tests at the top of the table with a validity of 0.54. In 2022, Paul Sackett and colleagues published a re-analysis in the Journal of Applied Psychology arguing that earlier corrections for “range restriction” had been applied too generously, inflating many estimates. Their revised figure for work samples is about 0.33; structured interviews came out highest at about 0.42, and job-knowledge tests at about 0.40.

How well each method predicts job performance: old vs revised estimatesOperational validity (correlation with later performance). Longer bar = stronger prediction.Structured interviews0.510.42Job knowledge tests0.480.40Work sample tests0.540.33Cognitive ability (GMA)0.510.31Unstructured interviews0.380.19Years of job experience0.180.07Schmidt & Hunter (1998)Sackett et al. (2022)Averages, not guarantees
Revised estimates are lower across the board, but work samples remain among the stronger predictors. Figures as reported by Schmidt and Hunter (1998) and Sackett et al. (2022).

Three cautions keep these numbers honest. They are averages across many jobs and studies, not a promise about your next hire. The work-sample estimate rests on a smaller and older base of studies than the interview figures, so it is less certain. And the methods combine: a short, well-designed task followed by a structured conversation about it captures much of the value of both, which is why many strong hiring teams use the task as the material for an interview rather than as a standalone pass-or-fail test.

Work samples have two further advantages the validity numbers do not capture. Candidates tend to see them as fair, because the link to the job is obvious; and they give a realistic preview of the work, so people who would hate the job often withdraw on their own. Both reduce early attrition, which is where much of the cost of a bad hire sits.

Choose the format that fits the role

“Work sample” covers several formats, and the right one depends on what you need to see. The table summarises the main options and where they fit.

Format Typical length Best for Main risk
Live exercise in the interview 30–90 minutes Problem-solving, communication, collaboration under light pressure Penalises people who think better alone or who are nervous
Short take-home task 2–4 hours, capped Writing, analysis, design, coding, planning Unlimited effort; AI use; unpaid labour if it grows
Case presentation Prep 2–3 hours, present 30–45 minutes Senior and client-facing roles Rewards polish over substance if the rubric is weak
Portfolio or code review 1 hour, discussing existing work Creative and engineering roles with public work Not everyone can share past work for confidentiality reasons
Role-play or simulation 20–45 minutes Sales, customer service, management conversations Artificial if the scenario is not grounded in the real job
Paid trial day or week 1–5 days Small teams, trades, hospitality, contractors Employment-law exposure; hard for employed candidates to attend
Pick one format per role and give it to every shortlisted candidate in the same way.

A useful rule is to use the lightest format that shows you the skill. If a 45-minute live exercise reveals how an analyst structures a messy dataset, a weekend take-home adds little except cost to the candidate. Reserve longer tasks for the final two or three candidates, when the stakes justify the investment on both sides.

Designing a task that tests the job, not the candidate’s free time

Start from the role scorecard and pick the one or two outcomes that matter most and are hardest to judge from interviews. Then design a task that produces evidence on exactly those outcomes, using material that resembles the real work but is not live client or company work. A finance task might use a simplified, anonymised trial balance with planted errors; an engineering task, a small self-contained feature on a sample repository; a marketing task, a brief for a fictional product in your category.

● Questions to answer before you set a work sample · 12 questions
1Which one or two scorecard outcomes is this task meant to test?If you cannot name them, the task is a hurdle, not an assessment.
2Could we see the same skill in a shorter or live format?Use the lightest format that produces the evidence you need.
3Is the material fictional, historical or anonymised — never live work?Live work creates IP disputes and looks like free consulting.
4What is the time limit, and has a current employee tried the task?Have someone in the role do it first; most tasks take longer than the designer thinks.
5Will we pay for it, and at what rate?Anything over about four hours, or any real trial shift, should be paid.
6Who owns the output, and have we said so in writing?State that the candidate retains ownership and that you will not use it.
7What adjustments will we offer, and how do candidates ask?Offer them to everyone at the invitation stage, not only to those who disclose.
8What is our AI-use policy for this task?Allowed, allowed with disclosure, or not allowed — and why.
9What does a weak, adequate and strong submission look like on each criterion?Write the rubric before the first submission arrives.
10Who scores it, and will they score blind to the candidate’s name?Two scorers, independently, with names removed where possible.
11How will we give feedback to every candidate who completes it?A few specific lines is the minimum return for hours of effort.
12Which stage of the process does this task replace?Adding a task without removing anything makes the process longer and loses candidates.
Consultant’s noteBefore you send a task to any candidate, ask a solid current performer in the role to complete it under the same conditions. If they need five hours for a “two-hour” task, your estimate is wrong — and if they would not pass your rubric, the rubric is wrong.

Time limits, pay and the law on unpaid trials

Candidates’ time is the hidden cost of work samples. Many hiring teams cap take-home tasks at two to four hours and make the cap real by asking for a short output (“no more than six slides”, “one page”, “a pull request under 200 lines”). Give at least several days’ notice and a window that includes a weekend, because employed candidates and carers cannot always clear a weekday evening.

Paying for longer tasks is increasingly common and sends a strong signal about how you treat people. A flat fee or a day rate for anything beyond about four hours removes the suspicion of free consulting and widens your pool. In some places it is also the law. HMRC’s guidance in the UK treats an unpaid trial as legitimate only where it genuinely tests suitability for a specific vacancy, and suggests that a trial lasting more than a day is likely to attract minimum wage “in all but very exceptional circumstances”. In Australia, the Fair Work Ombudsman says an unpaid trial is lawful only if it is necessary to demonstrate skills for the job, lasts no longer than needed, involves only tasks relevant to the role and is directly supervised.

Elsewhere, assume that a candidate who does real work on your premises, or produces work you use, is likely to be treated as working, with pay, insurance and possibly social-security consequences. In countries where you hire through an employer of record or engage contractors, a paid trial may need a short contract of its own. When in doubt, keep tasks simulated, short and clearly separate from production work.

Watch outA “trial day” where the candidate serves real customers, writes code that ships or produces client deliverables is work, not assessment, in most jurisdictions. Pay for it, put it in writing and check whether the candidate’s current contract allows them to do it.

Who owns the work, and why you must say so

By default in most legal systems, the person who creates a piece of work owns the copyright in it unless they are an employee creating it in the course of employment or have signed it over. A candidate is neither. If you use a candidate’s campaign idea, code or analysis without agreement, you risk a copyright or confidentiality claim and, more likely, very public reputational damage.

The fix is simple. Use fictional or historical material, so nothing the candidate produces is directly usable. State in the task brief that the candidate retains ownership of their work, that you will use it only to assess their application and that you will delete it after the process. If you genuinely want to use a submission, offer to buy it on agreed terms. If you need candidates to see confidential information to do the task properly, use a short, mutual confidentiality note — not a one-sided agreement that leaves them carrying all the risk.

Accessibility and adjustments

Timed tasks, live exercises and complex instructions can all disadvantage disabled candidates, and in many countries employers must make reasonable adjustments to the process. Under the UK’s Equality Act 2010 that duty applies to recruitment, and similar duties exist under the Americans with Disabilities Act, EU equality law and Australian anti-discrimination law. Common adjustments are extra time, a different format (written instead of live, or the reverse), assistive technology, a quiet room, rest breaks and plain-language instructions.

Ask every candidate whether they need adjustments when you send the task, not only those who disclose a condition, and make the request easy — a single line in the invitation email. Keep the request separate from the people scoring the task. The wider principles are in our guides to candidate experience and reducing bias in hiring.

Scoring rubrics that make submissions comparable

A work sample without a rubric is an unstructured interview on paper: the scorer reacts to the overall impression and calls it judgment. Write the rubric before you see any submission. Use three to five criteria drawn from the scorecard, a 1–5 scale with written anchors for 1, 3 and 5, and a weight for each criterion. Two people score independently, ideally with names removed, and only then compare.

Criterion (example: analyst case) Weight 1 — weak 3 — adequate 5 — strong
Problem framing 25% Restates the brief; no clear question Identifies the main question Reframes the question and states key assumptions
Analysis quality 30% Errors in calculations or logic Correct but surface-level Correct, segmented and tests alternative explanations
Recommendation 25% None, or not supported by the analysis Clear but generic Specific, prioritised and linked to the evidence
Communication 20% Hard to follow Clear structure Concise, audience-appropriate and leads with the answer
Illustrative rubric. Score each criterion 1–5, multiply by the weight and sum; compare scorers’ totals and discuss gaps above one point per criterion.

Follow every take-home task with a 20–30 minute conversation in which the candidate walks you through their choices: what they tried, what they rejected, what they would do with another day. This is where real understanding shows, and it neutralises most concerns about outside help. If you use assessment platforms for the task itself, our comparison of pre-employment assessment software covers the main options.

AI in take-home tasks: set the policy, then test understanding

In 2026, assume that any unsupervised task can be done with AI help. Pretending otherwise rewards the candidates who are least honest about it. The better approach is to decide what you actually want to assess and write a policy to match. If the job uses AI tools every day — most software, marketing and analytics roles now do — allow them and assess how well the candidate directs, checks and improves the output. If the job requires the candidate’s own unaided judgment or writing, say so, and shift that part of the assessment into a live session.

● Questions to settle your AI-use policy for tasks · 8 questions
1Does the real job involve AI tools day to day?If yes, banning them tests a skill the job does not need.
2Which part of the task must be the candidate’s own thinking?Name it, and assess it live if it matters.
3Is AI use allowed, allowed with disclosure, or not allowed?State the policy plainly in the brief.
4What must candidates disclose about how they used AI?A short note on tools and prompts tells you how they work.
5How will the follow-up conversation test understanding?Ask them to change one assumption and rework the answer live.
6Will we use AI detection tools?They are unreliable; do not reject on their scores alone.
7Are we using AI to score submissions, and have we told candidates?Scoring tools may trigger EU AI Act, NYC and Illinois duties.
8Does the task use any personal or confidential data that candidates might paste into AI tools?Use fictional data so nothing sensitive leaves your control.

Be consistent with your own practices: if you use AI to score submissions or summarise interviews, the same transparency rules that apply to AI-assisted CV screening apply here, including the EU AI Act’s high-risk obligations for selection tools from December 2027.

Closing the loop with candidates

Candidates who invest hours in a task deserve a response that reflects that. Send a decision within a week, with two or three specific lines of feedback drawn from the rubric. It costs little and is one of the clearest signals of a well-run process. Then feed the results into the panel’s decision: the task score belongs on the scorecard alongside interview scores, and the debrief method in making the final hiring decision explains how to weigh them.

Your next move
Pick one scorecard outcome per open role that interviews cannot judge well, and design a task that tests only that.
Ask a current performer to complete the task under real conditions and adjust the time cap to match.
Write the brief with time limit, ownership statement, adjustment offer and AI-use policy in plain language.
Set a payment rule for any task over about four hours and for every trial shift.
Build a three-to-five criterion rubric with 1, 3 and 5 anchors, and arrange two independent scorers.
Schedule a 20–30 minute walkthrough after each take-home task and send feedback to every candidate within a week.
Last Updated: November 2026 · Reviewed by the Kurums HR editorial team. This guide is general information, not legal advice; employment and advertising rules change, so confirm requirements with local counsel before you post.

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