Is McKinsey Digital scored differently from a core McKinsey interview?

No. The case is still hypothesis-first and MECE, and the recommendation still follows the pyramid principle. The difference is the prompt: cloud cost, data and model risk, and operating-model change replace a pure market or pricing question.

Do I need an engineering background for McKinsey Digital?

It helps you name technical constraints faster. Interviewers still score structure, math, and judgment. You are not being tested on code.

What should I say in the first minute?

Restate the decision, state a hypothesis, and lay out two to four MECE branches before you ask for data. McKinsey interviewers penalize a candidate who starts calculating with no structure.

Where can I practice a McKinsey Digital-style case?

The McKinsey case library includes technology cases such as the Saudi telco churn case, each run live against an AI interviewer using that firm's register.

McKinsey Digital Case Interview

A McKinsey Digital case interview uses the same hypothesis-first, MECE structure as a core McKinsey case. The prompt is a technology decision — cloud, data, AI, or operating model — and the interviewer still wants a pyramid recommendation tied to a number.

What changes in a McKinsey Digital case?

The format does not change. You still open with a hypothesis, keep the structure MECE, and close with a recommendation the interviewer can repeat. What changes is the constraint set. Instead of share, price, and competitors, you are usually dealing with legacy systems, a build-versus-buy choice, a data foundation that is not ready, and a sponsor who wants a pilot on a date the architecture cannot support.

How to structure the first two minutes

Restate the decision in one sentence, including the metric and the time box.
State a hypothesis. "I suspect the constraint is data quality, not the model" is better than "let me look at everything."
Lay out two to four branches that do not overlap. A typical digital case splits into value, architecture, operating model, and risk.
Ask for the number that would confirm or kill the hypothesis. Do not tour the whole data pack.

The structure guide covers the same four beats for any firm. On a McKinsey Digital case, the first beat has to include the technical constraint, or the hypothesis is generic.

What a strong answer sounds like

A strong candidate names the decision owner, the value metric, and the thing that will slip. On a cloud or AI case that is usually one of: the data is not trustworthy, the operating model cannot absorb the tool, or the economics only work if a legacy system is retired. They quantify that constraint before they recommend a vendor.

Red flags are a framework recited from memory, a recommendation with no number, and treating "digital" as a strategy instead of a set of systems and people.

Practice

Run a McKinsey-style technology case before you read another framework. The Saudi telco case is a good first one: the network score improved while postpaid churn doubled, so a candidate who jumps to "coverage" misses the case. Browse the rest of the McKinsey case interviews after that.