Problem Solving › Data Analysis
Dashboard urgente per il board tra due ore · Data Analysis · Beginner
The CEO messages you at 8: they need a dashboard with 'the key numbers' for the 10 o'clock board. No spec on which metrics, which period, which granularity. You have two hours, data across three sources, and no time to build something perfect. Doing everything risks not finishing; doing the wrong thing is worse. How do you handle the vague request under pressure without delivering useless work?
Il CEO ti scrive alle 8: gli serve una dashboard con 'i numeri chiave' per il board delle 10. Non specifica quali metriche, quale periodo, quale livello di dettaglio. Hai due ore, dati sparsi su tre fonti e nessun tempo per costruire qualcosa di perfetto. Fare tutto rischia di non finire; fare la cosa sbagliata è peggio. Come gestisci la richiesta vaga sotto pressione senza consegnare un lavoro inutile?
Read the case, write how you would solve it — in free text, no prompt required — and Grace's AI judges whether your solution actually works: solved or not solved, with a 0-100 score and coaching feedback that points at what is still uncovered without revealing the answer. Your first 5 evaluations each day are free.
It is a beginner-level Data Analysis case based on a real workplace situation. You read the problem, write how you would solve it in free text, and Grace's AI judges whether your solution actually works — or what is still uncovered.
No. Grace judges the substance of your reasoning, not similarity to a script. Different approaches pass, as long as they genuinely solve the problem within the constraints described in the case.
Grace's AI checks four things: whether you address the core problem (not just the symptoms), whether your plan is feasible within the constraints of the case, whether you consider risks and consequences, and whether you avoid the typical mistakes. You get a solved/not-solved verdict, a 0-100 score and coaching feedback.
Anyone who wants to train structured problem solving: managers, professionals and candidates preparing for case interviews in Data Analysis. The beginner difficulty makes it an accessible starting point.
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