This lesson teaches how to move a case forward after the opening by choosing the next analytical step, requesting the right information, and keeping the discussion directional.
Many candidates start reasonably well and then lose momentum.
They build a structure, but once the interviewer gives data, they do not know:
Driving the case well is what makes the interview feel like real problem solving rather than a sequence of random reactions.
Driving the case means using your structure, hypotheses, and evidence to guide the next move.
You are not supposed to know the full answer immediately.
But you are supposed to:
After your structure, think in loops:
That loop repeats throughout most of the case.
Do not abandon your own structure immediately.
Use it to guide the first move.
Instead of:
“Do you have any data?”
say:
“To test whether the decline is driven by traffic or ticket size, I would like to see how volume and average spend changed over time.”
Do not treat data review as a passive reading exercise.
Say what the finding means.
If the evidence supports one branch, go deeper.
If it weakens that branch, pivot.
You do not need to wait until the very end to summarize.
Suppose you are solving a profitability case for a retailer.
You start by looking at revenue and learn:
A strong candidate does not just repeat those findings.
They say:
“This suggests the problem is more about revenue quality than customer volume. I would next want to understand whether the mix shift is driven by heavier promotions, changing customer behavior, or stock availability in higher-margin categories.”
That is how the case moves forward.
A strong candidate:
A weaker candidate often:
If you cannot explain why you want a datapoint, you probably should not ask for it.
A chart matters only if you explain its business implication.
If the evidence weakens your initial view, change course.
If the interviewer has to infer your logic, you are making the case harder than it needs to be.
Imagine you discover that profit is down because gross margin fell, while customer volume stayed stable.
What would you want to investigate next, and why?
A strong transition could sound like this:
Since traffic is stable but basket economics deteriorated, the issue appears to be on revenue quality rather than demand quantity. I would next test whether pricing pressure, discounting, or mix shift is driving the lower basket outcome.
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