ONLINE GAMES
A chatbot asks you a consulting question.
You type an answer.
It gives you the next prompt.
That sounds easier than sitting across from a McKinsey, BCG or Bain interviewer.
No awkward silence.
No partner staring at your maths.
No need to manage a conversation.
And that last point is exactly where the problem starts.
A chatbot removes the interviewer... not the need to communicate
In a live case, your interviewer can rescue unclear thinking.
They can ask:
“What do you mean?”
“Why did you choose those two areas?”
“So what does that tell us?”
A digital system may give you less opportunity to repair an answer after you submit it.
That changes what “clear” means.
You need to make the logic visible the first time.
Not longer.
Clearer.
Structure has to survive without your explanation afterward.
If you want to understand where chatbot practice fits into normal case preparation, read Should I Use an Interview Chatbot in Case Prep?.
Your Master’s answers may be technically correct... and still miss the point
Imagine the prompt asks why a retailer’s profits have fallen.
You write:
“Revenue may have decreased or costs may have increased.”
Correct.
Also almost useless.
The sharper response begins organising the business problem:
“I’d first determine whether the decline is driven by revenue or cost. On revenue, I’d separate price from volume and test whether the issue is concentrated by product, channel or geography. On costs, I’d distinguish variable from fixed costs and look for recent changes.”
Now the system can see your logic.
So can a human reviewer, if one is involved.
Correctness is the floor. Structure makes it usable.
| Weak digital instinct | What is missing | Stronger move |
|---|---|---|
| Write every idea you have | Prioritisation | Group ideas into a few decision-relevant buckets |
| Give only the calculation | Interpretation | State what the number implies |
| Use consulting jargon | Actual logic | Explain the relationship |
| Write an essay | Executive communication | Lead with the answer, then support it |
But should you actually use AI to prepare for AI?
Potentially, during preparation.
You can practise answering unfamiliar prompts.
Ask a tool to challenge your structure.
Use it to generate alternative business situations.
Compare your recommendation against possible counterarguments.
But preparation and the real assessment are different environments.
Firm rules govern what you may use during an actual recruiting assessment or interview.
McKinsey, for example, currently prohibits generative AI and other outside assistance during its assessments unless specifically permitted.
Practise with tools. Perform by the rules.
If you want to explore how AI-mediated recruiting may appear in the McKinsey context, McKinsey AI Interview takes that discussion further.
The chatbot exposes one weakness live interviews sometimes hide...
In a live case, charisma can buy you a little oxygen.
You can say, “Let me think about that for a second.”
The interviewer may clarify.
You can watch their expression.
Digital interaction strips away some of that feedback.
Now your answer has to carry more of the weight.
For a Master’s candidate, that is useful practice even if your eventual interview is fully human.
Can you produce a clear structure without reassurance?
Can you make a calculation and immediately state the implication?
Can you recommend a direction without dumping all of your analysis first?
That is not really a chatbot skill.
That is consulting communication with fewer places to hide.