FrameLab
    Estrategia ferroviaria para una estación de esquí
    McKinsey
    Intermediate
    30 min4 steps

    Estrategia ferroviaria para una estación de esquí

    El cliente, una estación de esquí alpina, debe desarrollar una nueva estrategia ferroviaria tras la no renovación de su asociación anterior. El caso explora la viabilidad de convertirse en un operador ferroviario en comparación con modelos de asociación alternativos.

    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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    Skills practiced

    • Business sense
    • Chart reading
    • Calculation
    • Structuring

    The brief

    Su cliente es Alpine Ski Resort, una estación de esquí situada en los Alpes. Anteriormente, ofrecía paquetes vacacionales que incluían el transporte ferroviario desde Londres y París hasta su estación, en colaboración con Eurostar, SNCF y Thalis. Esta oferta fue válida para la temporada 2022-2023, pero las compañías ferroviarias no renovaron el proyecto para la temporada 2023-2024. El cliente desea ahora implementar una nueva estrategia ferroviaria para conectar directamente Londres, París y potencialmente Ámsterdam con su estación. Contempla diversas opciones, incluyendo la de convertirse él mismo en operador ferroviario.

    The client's question

    ¿Qué examinaría en primer lugar en este caso para ayudar a nuestro cliente a definir su estrategia 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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