What the real interview was like

1. Applied through micro1.
2. An AI interview and assessment.
3. Waiting for onboarding when the review was written.

• Explaining the reasoning behind each answer.
• Handling ambiguous cases.
• Interpreting task guidelines.
• Practical quality and evaluation scenarios for AI work.

• Structured and professional, with a flow that was easy to follow.
• Pushed for depth rather than accepting surface answers.

• →Practise explaining your reasoning step by step.
• →Prepare for ambiguous cases and read guidelines closely.

Finished the assessment; no project yet at the time of writing.

1. A generalist interview with the AI, about 40 minutes.
2. A C programming interview, about 20 minutes, then a coding test set in JavaScript.
3. An AI annotator interview drawing on their chip design field.

• How the generalist role works, in detail.
• Abstract C concepts.
• Name two red flags in an AI answer about chip scaling.

• Fast, abstract questions packed into a short time.
• Felt more like one AI talking to another than a conversation.
• The coding test language did not match the C interview.

• →Practise spotting red flags in AI answers from your own field.
• →Check which language the coding test uses before you start.

Rejected for the generalist role; other results not stated.

1. Two written questions with the application: a past decision, and explaining a complex idea to a non-specialist.
2. A practice run of about 15 minutes in the real interface.
3. The real interview with Zara: 28 minutes, with five focus areas shown at the top of the screen.
4. A certification email two days later, then a project match nine days after that.

• Why you made a particular design decision.
• How you critique and evaluate work.
• How you make sense of an ambiguous brief.
• How you explain design to people outside the field.
• How you handle disagreement and bring others round.

• Each question was spoken and also shown as text, so it could be reread.
• When the candidate lacked the exact experience, Zara reframed the question around the underlying skill.
• Thinking aloud was taken as the answer, so pauses worked better kept silent.

• →The written questions hint at the rubric. Do the practice run.
• →Think in silence, or say you need a moment. Thinking aloud was taken as a finished answer.
• →Prepare two or three project stories before the call.

Certified within two days and matched to a project nine days later, after a hiring manager reviewed the profile.

1. Several micro1 assessments across design roles.
2. Practical exercises inside the visualization specialist assessment.

• Spot a tiny header size difference, 48 against 46 pixels, with no tools.
• Other very specific visual questions.

• The AI-led exercises felt strange at times.
• No design or measuring tools were available for the visual tasks.

• →Expect fine visual checks done by eye alone.

Not stated.

1. One AI interview with Zara.

• Understanding of journalism.
• Writing ability.

• Warm and supportive in tone.
• Named what it liked in answers and offered polite suggestions to improve.

• →Take the interviewer's suggestions on board; they show what the rubric values.

Not stated; the candidate left a five-star review.

1. An AI interview in English.
2. An AI interview in Spanish.

• Spoken answers in Spanish, with the interviewer remarking on word choice along the way.

• The English interview felt complete and comfortable.
• The Spanish one kept suggesting other words and sounded defensive when challenged.

• →In Spanish, expect comments on your vocabulary. Keep your rhythm and carry on.
• →If you can choose, think about which language shows you at your best.

Not stated.

1. One AI interview with Zara for a role in a language other than English.

• Questions built around English technical terms, even though the role was not in English.

• Natural and respectful in tone.
• Interrupted the candidate and could not handle many of their questions.

• →Learn the English technical terms for your field, even for a job in another language.

Not stated.

1. An AI screening.
2. An AI interview.

• Scientific and technical expertise in their field.

• Professional throughout.
• Judged shown skill rather than paper credentials.

• →Be ready to show your expertise live, not just list it.

Not stated.