portfolio

A portfolio question for a company that already uses machine learning everywhere. Strong answers find where generative AI changes what users can do, not just how recommendations are computed, and weigh it against costs to artists and licensing.

A judgment call with no default answer. Principal-level candidates segment the users, price the value, check the strategic role, and make a decision with a dated review rather than a vague 'improve it'.

A principal-level strategy question for a company whose discovery layer could be disrupted by AI assistants. The answer must cover defence, offence, operations and platform risk, with sequencing and measures.

A portfolio question. Standardise too much and teams stop evaluating what matters to their users; too little and nobody can compare quality, swap models or answer an auditor.

A portfolio and stakeholder question. Across-the-board cuts are the easy answer and the wrong one. The strong answer finds where spend creates value, cuts waste first, and gives the CFO a number they can hold you to.

A portfolio process question. Prototypes make AI ideas cheap to test; the challenge is turning a stream of demos into consistent, evidence-based funding decisions.

Make a past project inspectable: show the decision, your contribution and the limits of the result. Prepare for a reviewer who challenges both the metric and the design.