FrameLab
    Strategia ferroviaria per una stazione sciistica
    McKinsey
    Intermediate
    30 min4 steps

    Strategia ferroviaria per una stazione sciistica

    Il cliente, una stazione sciistica alpina, deve sviluppare una nuova strategia ferroviaria dopo il mancato rinnovo della sua precedente partnership. Il caso esplora la fattibilità di diventare un operatore ferroviario rispetto a modelli di partnership alternativi.

    This is a growth strategy case in the format of the interviews run at McKinsey. Allow 30 min to work through its 4 steps, at an intermediate level. It mainly trains business sense, chart reading, calculation and structuring. Below you will find the brief and the questions of each step, without the answers: the point is for you to solve it yourself.

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    Già giocato dai membri

    Skills practiced

    • Business sense
    • Chart reading
    • Calculation
    • Structuring

    The brief

    Il vostro cliente è Alpine Ski Resort, una stazione sciistica situata nelle Alpi. In precedenza, offriva pacchetti vacanza che includevano il trasporto ferroviario da Londra e Parigi fino alla sua stazione, in collaborazione con Eurostar, SNCF e Thalis. Questa offerta era valida per la stagione 2022-2023, ma le compagnie ferroviarie non hanno rinnovato il progetto per la stagione 2023-2024. Il cliente desidera ora implementare una nuova strategia ferroviaria per collegare direttamente Londra, Parigi e potenzialmente Amsterdam alla sua stazione. Sta valutando diverse opzioni, inclusa quella di diventare egli stesso un operatore ferroviario.

    The client's question

    Cosa esaminereste in primo luogo in questo caso per aiutare il nostro cliente a definire la sua strategia ferroviaria?

    4 steps to solve this case

    Here are the questions you'll need to answer.

    Solve each step with the AI coach that guides and evaluates you in real time.

    How to approach this case

    In a growth case, start by pinning down the objective: how much, over what horizon, and under which investment constraints. Then separate what the client can get from its current business (volumes, prices, retention) from what needs new ground (customers, products, countries, acquisitions). Put a number on each option, even a rough one, so that you compare orders of magnitude and not ideas. The classic list of growth levers helps you forget nothing, but the interviewer expects you to rule most of them out with an argument and to dig into the two or three that matter for this client.

    This case involves calculations: talk through your arithmetic out loud, round when it is reasonable and state the order of magnitude you expect before the exact result. It also includes a chart or table to read: first say what the axes show, then give the main message in one sentence before going into detail.

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    Frequently asked questions

    How long does this case take?▼

    Allow 30 min to solve it under interview conditions. It is split into 4 steps, which you can also work on one at a time if you prefer to take it slowly.

    What level is this case?▼

    This case is rated intermediate. It assumes you can already structure a problem and carry a calculation without losing the thread, and it asks you to move from step to step without being guided at every question.

    How can I practise this case?▼

    On FrameLab, you can solve it in writing with the AI correcting each step, take it out loud with an AI interviewer leading the interview, or run it with a partner. The first 7 days are free.

    Ready to solve this case?

    Solve it solo with the AI coach or in duo with a partner. Structured feedback at every step.

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