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Hiring for design

Intervieux's AI interview is a live voice conversation, so it does not review a visual portfolio directly, and design screening works by having every applicant narrate their process and defend a real tradeoff out loud, scored on reasoning and communication, with a written critique challenge available alongside it as a second, text-based check.

A design portfolio shows the finished screen, rarely the argument that got the team there. Two candidates can present visually similar case studies while one made every meaningful decision and the other executed a senior designer's direction, and a portfolio review alone often cannot tell the difference without a long conversation anyway.

What screening design candidates is actually like

A polished portfolio is table stakes for a design candidate the same way a clean resume is for anyone else, which means it screens out very little on its own. The signal that actually separates candidates is what happens when you ask about a decision that did not work, a stakeholder disagreement, a tradeoff between what users wanted and what shipped.

Getting that signal at volume usually means a live design critique or whiteboard session with a senior designer for every candidate worth a look, which is exactly the kind of interviewer time that becomes the bottleneck once a role gets real applicant volume.

A bootcamp-template portfolio and a genuinely owned body of work can look similar at a glance and only separate once someone asks the candidate to explain a decision they lost.

A voice-only screening step sounds like a limitation for a visual discipline, and in one narrow sense it is: it will not look at a screen and judge whether a layout is well composed.

What it can do is exactly what a first-round design critique already does before anyone opens a laptop, ask a candidate to talk through the decision behind a piece of work, which is the part of a portfolio review that actually predicts whether someone can defend their thinking under real questioning.

How screening runs for a design role

  1. 1

    Set up the role around what this design opening actually needs

    AI job setup drafts traits, a rubric, and interview questions from the job description, so a product design opening and a brand design opening score against genuinely different criteria.

  2. 2

    Candidates narrate process and reasoning in a live voice interview

    The AI interview is a real-time voice conversation, not a form, and asks a candidate to walk through a specific design decision, what they tried, what they rejected, and why, the same way a human design lead would probe in a critique session.

  3. 3

    A written critique challenge adds a second, text-based check

    A custom written challenge can present a scenario, given this description of a checkout flow, identify the problems and propose a change, and score the response alongside the interview, giving every candidate the same prompt to react to.

  4. 4

    Scored candidates route themselves through your rules

    Rules evaluate automatically once an interview finishes, checking communication score, behavioral score, cultural fit, and key skills, so a recruiter's queue is already split into who is worth a design-team review first.

  5. 5

    Move qualified candidates into a live design review

    Booking links get a strong candidate onto a senior designer's calendar for the round that actually needs a human looking at real work, with offer and e-sign handling the rest once that decision is made.

A screening rule built for a design funnel

A rule for a product design opening might read: communication score at or above 7, AND behavioral score at or above 6, AND key skills includes interaction design, tag advance to design lead. A separate rule can flag a specific pattern a design team keeps running into: cultural fit score below 5, flag for team review, since collaboration friction is a common reason a technically strong designer does not work out.

A written critique in place of a first-round portfolio call

Custom technical challenges support a written format, so a design team can author a scenario like here is a description of a three-step checkout flow, identify what is likely to confuse a user and propose a specific change, with AI drafting a starting version of the prompt and an answer key, and a test-run before candidates see it.

Every candidate reacts to the identical scenario, scored to the same standard, rather than being judged on whichever portfolio piece happened to be their strongest.

Finding designers who never applied

Talent search reads a plain-language brief rather than matching job-title keywords. My talent pool might be searched for a product designer who has shipped a redesign end to end and can explain a tradeoff they lost, not just a portfolio piece, surfacing candidates whose interview evidence matches that description.

The Intervieux network extends the same search to candidates elsewhere on the platform who opted into being found.

Reasoning scored separately from delivery

Communication and behavioral scores are reasoned about independently, so a candidate who narrates a design decision fluently but cannot articulate why they made a specific tradeoff, as opposed to a competing option, scores differently on the two dimensions rather than blending into one impression of how the conversation felt overall.

Frequently asked questions

Can the AI interview review my portfolio directly?

No. The AI interview is a live voice conversation and does not visually review a portfolio. It works by having a candidate narrate their process and defend specific decisions out loud, which is scored on reasoning and communication rather than the visual work itself.

How do I test design judgment without a live critique session for every applicant?

A custom written challenge can present a scenario for a candidate to critique in writing, scored the same way for every applicant, as a text-based first check before a live design review with a senior designer for candidates who clear that bar.

Does one interview work for both product design and brand design?

No, by design. AI-drafted job setup builds the rubric and questions from the specific job description, so different design disciplines score against different traits.

How do screening rules help catch a collaboration or team-fit risk early?

A rule can flag a specific score pattern, a low cultural fit score alongside strong other dimensions, for a closer look before scheduling a design-team round, rather than only surfacing that risk after a candidate is already deep in the process.

Isn't a voice-only interview a poor fit for a visual discipline like design?

It cannot evaluate visual work directly, which is why it is used for what a first-round design critique already tests before anyone looks at a screen: how clearly a candidate can defend their reasoning and tradeoffs out loud. A live design review with a human designer still happens afterward for candidates who clear this bar.

Does the written critique challenge require an image or file upload?

No. The scenario is described in text, and the candidate's response is written, so the challenge does not depend on uploading visual assets. It tests reasoning about a described situation rather than review of a submitted file.

Related pages

Test process and reasoning before the portfolio call

Set up a design role with a written critique challenge and let screening rules sort the pipeline before a designer's calendar gets involved, whether the role is product, brand, or interaction design.