इस एपिसोड के बारे में
Big 4 interviews are around the corner – and most candidates need 6–8 weeks of prep to be ready.
Mitali Jalan spent years at Deloitte and Bain, then coached 400+ candidates. She sees one gap sink strong applicants again and again: they practice 1-on-1 cases and never practice the other formats the Big 4 use.
Think group cases, written cases, presentations, and AI-assisted or Excel cases.
And behavioral prep matters just as much – at some firms, it carries equal weight to the case.
So if your interview is coming up, this episode shows you where to start.
Resources:
- Black Belt builds your prep plan around your gaps and your interview dates, with feedback from coaches who've sat on the interviewer side of the table
- Not sure how much time you have or whether Black Belt fits? Book 15 minutes with Katie and she'll tell you straight
Connect With Management Consulted
- Create a free MC account or download the MC app (Apple, Android) to start your prep today
- Schedule a free 15min consultation with the MC Team
- Watch the video version of the podcast on YouTube
- Follow us on LinkedIn, Instagram, and TikTok
- Join an upcoming live event – case interviews demos, expert panels, and more
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Divya spent 8 years at McKinsey. She sat down with Sanya, a senior at Penn, and ran a case with her, live.
Divya told her afterward it would've passed a McKinsey Round 1.
Listen to learn how Sanya did it – built her structure, worked the math, and landed on a recommendation. …
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Over half the firms in our latest consulting industry survey said demand is outpacing their ability to hire and deliver. Healthcare, energy, PE – the same story across the board.
The bottleneck is capacity. Firms can't staff fast enough to keep up with the work already in thei…
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Midway through a practice case, one of George Cary's clients did the math and said 90,000 when he meant 900,000. George didn't care.
After 5 years and 100+ interviews at McKinsey, George will tell you the right answer is the bare minimum.
The offer comes from how you got …
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80% of AI projects fail.
Only 10 to 20% of enterprise AI pilots reach production, and 2 firms break down why.
Ugo Philippart of Emerton Data calls his firm the fire squad companies phone after an AI project has failed. Damien Chan of Adastra says over 75% of its pilots make it.
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अस्वीकरण: इस पृष्ठ पर एम्बेडेड पॉडकास्ट और कलाकृति Management Consulted से हैं, जो इसके मालिक की संपत्ति है और Listen Notes, Inc. से संबद्ध या समर्थित नहीं है।
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