Create work samples that show employers how you think

Five practical content formats for job seekers, with honest project context, clear decisions and evidence an employer can inspect.

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“Strong problem-solving skills” is easy to put in a profile. A short piece of work that shows a problem, your choices and your checks gives an employer something to assess.

Job-search content does not need to be a personal publishing empire. One useful sample related to the role can be a better investment than a stream of broad career advice.

Start by choosing a task that appears in the work you want to do. Then select a format that makes your contribution visible.

Choose a realistic question

Review a few relevant role descriptions and identify a task you can demonstrate honestly. Do not claim that this sample covers the whole job. Pick a bounded question you can answer with public information, a permitted project or synthetic material.

For example, a hypothetical customer-support candidate could examine confusing instructions and rewrite them. A data candidate could compare two ways to measure a public dataset. A designer could explain a navigation decision using an original mock-up.

Avoid work that depends on private customer information or an employer's internal material. Removing a name does not always make a project safe to share. Get permission where required, or create a clearly labelled demonstration.

Five formats that reveal useful skills

  1. A worked solution. Show the problem, your approach and the result of your checks. A developer could provide a small accessible form with a short explanation of validation and error handling. Include how someone can run or inspect it. Do not substitute a large code dump for an explanation of the decisions.

  2. A before-and-after improvement. Present an original example and a revised version with annotations. A communications candidate could improve a hypothetical service notice, explaining which ambiguity each edit removes. State that the example is invented and avoid suggesting it produced real customer results.

  3. A tradeoff analysis. Compare a few options against stated constraints. An operations candidate might compare ways to handle incoming requests for a small team. Explain why one option fits the scenario and where it would fail. This demonstrates judgment rather than a list of fashionable tools.

  4. A careful teardown. Review a public experience respectfully, identify a specific problem and offer a bounded alternative. Separate what you observed from what you infer. You do not know a company's private constraints, and a public critique should not pretend that you do.

  5. A learning record with a finished artifact. Explain what you tried, where it went wrong and what you changed. A course project or personal exercise is valid evidence when labelled accurately. Include the final output so the reader can judge more than your description of the learning process.

Choose the format that fits the task. You do not need all five, and you do not need a video if a concise written explanation makes the work easier to assess.

Give the reader enough context to evaluate it

Open with the question and audience. Explain your role, the source of the material and what the sample does not establish. If several people contributed, credit them and identify your part.

Show a small amount of process evidence: an annotated choice, a test result or an explanation of why you rejected an alternative. Select the details that matter for the role rather than documenting every step.

A helpful outline is: problem, constraints, approach, checks, limitations and next improvement. The expertise guide develops this approach for a longer professional reputation.

Keep claims proportionate to the evidence

A mock-up does not prove that customers used it successfully. An analysis with synthetic data does not prove a business impact. An AI-generated draft does not demonstrate that you personally understand every statement it contains.

Review the work until you can explain and defend it in an interview. Remove unsupported numbers and identify any assumptions. A clear limitation is more useful than an inflated success claim.

Make the sample easy to find and open

Use a descriptive title and a working link from your profile or application. Check the page on a phone and without your own logged-in session where appropriate. Make text readable and describe meaningful visual details. The W3C writing guidance is a useful reference for clarity and structure.

Write a short summary for the application explaining why the sample relates to the role. Do not expect a recruiter to infer that connection from a long article.

Share it where the question is relevant

A relevant professional discussion can provide feedback and visibility. Offer the idea in the conversation first; add the sample when it helps. The comments and job-search guide explains respectful participation.

Continue applying and preparing for interviews. Public content can support those efforts but cannot guarantee employment.

Choose one task from a role you want and produce a small finished sample. Ask a peer whether they can identify your contribution and the evidence behind it before you publish.

Put a better reply into practice.

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