A messy recommendation can start twenty minutes earlier, when you misunderstood the objective. Slow maths can start before you touch a number, when you have not decided what to calculate. If you fix only the visible ending, the same problem returns in the next case.
I would review a weak attempt by finding the first point where your reasoning stopped helping the client. Correct that behaviour, then test it on a fresh problem. “Be more structured” is too vague to practise. “Compare the three options against the same objective before choosing one” gives you something to do.
Here are the mistakes I would look for, and the repairs that make them easier to catch.
Solving a different problem from the one asked
A clinic wants to reduce the time patients wait for appointments. You build a structure about increasing clinic revenue. Higher revenue might eventually fund more staff, but you have changed the objective before establishing what is causing the delay.
Write the actual target at the top of your page. Confirm what success means and any constraint that changes the answer. In this example, that could be reducing the wait for a routine appointment within the existing staffing budget.
Then check your proposed branches against that target. Demand, available appointments and how appointments are allocated could each explain the wait. Advertising to attract more patients probably does not belong at the front of the investigation.
Practise this repair with short prompts: state the decision, the outcome and one question that would materially change your approach. Use clarifying questions when you need help deciding what to ask.
Giving a framework that could fit any company
“Customers, competition, company and costs” gives you labels. It does not yet explain how you will decide whether a rural delivery service should add a new route.
Translate the labels into questions the client needs answered: How many deliveries will customers buy? What will they pay? How many stops can a driver complete? Will the route contribution cover its added costs? What happens to existing service?
You can still organise these into demand, economics and execution. The difference is that the questions now belong to the problem. See building a case framework for the full process.
A useful repair exercise is to take the same broad structure and adapt it to two very different businesses. If only the company name changes, keep working.
Analysing everything with equal enthusiasm
Suppose a subscription company loses money because customers leave before it recovers acquisition spending. You spend several minutes estimating the overall market, then request competitor advertising budgets. Neither analysis addresses the problem you have already found.
State what you are trying to learn before requesting data: “I want to see whether the early churn is concentrated in a particular acquisition channel. That would tell us whether to change targeting or investigate the experience after signup.”
This makes the request purposeful. It also helps you notice when the answer is sufficient to move on. The habit to practise is choosing and explaining the next analysis, not filling every box in your opening structure.
Doing the right arithmetic on the wrong setup
Revenue rises from $60 million to $75 million. The increase is $15 million. Dividing by $75 million gives 20%, but growth is measured against the original $60 million, so the correct increase is 25%.
More mental multiplication will not fix the denominator mistake. Write the formula in words first: change divided by starting value. Label the units and period, calculate, then check the scale.
A similar trap is comparing monthly revenue with annual costs. Another is treating a margin percentage as a profit amount. Before practising speed, identify whether the failure was setup, arithmetic or interpretation. Each needs a different exercise.
If you discover an error during the interview, correct it cleanly: “I used the ending revenue as the denominator. Growth is 25%. That makes the expansion larger than I first stated.” Then update any conclusion affected by the correction.
Quick Case Math Drill
A regional cinema chain lost ticket revenue while roadworks blocked access to its busiest site. The finance director is setting targets for the months after reopening.
- Revenue before roadworks
- $90,000 per month
- Revenue during roadworks
- $60,000 per month
- Reported fall
- About 33% below the earlier level
By what percentage must monthly revenue rise to return to its earlier level?
Reading an exhibit without drawing a conclusion
“The premium segment is growing and the basic segment is shrinking” describes a chart. It does not tell the client what to do.
Look for the implication. If premium orders contribute much more per order, the mix shift could explain stronger profit even while total order volume falls. Check the segment economics before claiming that it does.
Practise giving three things after an exhibit: the important finding, its business meaning and the next question. Keep the sequence short enough for the interviewer to follow. Our exhibit analysis guide develops this with worked examples.
Defending an answer after the evidence changes
You recommend automation because a $300,000 investment saves $120,000 a year, giving a 2.5-year payback. The client requires payback within three years.
The interviewer then explains that the saving is only $60,000 because the equipment will run for one shift. Payback becomes five years. Continuing to sell the original recommendation makes your confidence work against you.
A stronger response is direct: “At one shift, the investment misses the three-year requirement. I would not approve it on those economics. We would need either a lower investment or a credible way to increase the annual cash saving.”
Confidence includes revising your position. In practice, ask your partner to change one decisive assumption and observe whether you update the calculation, the recommendation and the next step.
Quick Answer Repair Drill
A commercial laundry asked whether to buy a sorting machine. After the interviewer cuts the expected saving, a candidate replies: “It still saves money, so I would proceed.”
- Machine cost
- $400,000, paid once
- Client's payback requirement
- Within four years
- Revised annual saving
- $80,000
What is the main flaw in the candidate's reply?
Finishing with a recap of your activities
“We looked at demand, costs and competition” tells the interviewer what you did. Finish by telling the client what you recommend and why.
For the automation example, the answer could be: “Do not invest under the current one-shift plan. Its five-year payback exceeds the three-year limit. A supplier offer at $180,000 or below would meet the limit at the stated $60,000 annual saving, so I would test that before reopening the decision.”
The condition is useful because it comes from the analysis. A generic “we should do more research” would leave the decision where it started.
Trying to repair all of this in one case
Choose the earliest recurring breakdown. If you repeatedly miss the objective, start there. If the structure is sound but you lose direction after an exhibit, practise the transition from finding to next analysis.
Use a short repair loop:
- Reconstruct the moment that went wrong, including what you said or wrote.
- Make a second attempt at that moment with a clear correction.
- Try the same skill on an unfamiliar prompt without help.
- Bring it back into a full case and check whether it survives the added demands.
Keep the evidence in your practice log. “Needed a prompt to interpret the result” is more useful than a general score of seven out of ten.
For your next session, choose one problem from the case library and tell your partner the behaviour you want them to observe. Ask for the exact moment it worked or failed. That gives you a correction you can carry into tomorrow.
Full case practice
Carry it into a fresh case.
Choose a case, work through the decisions with Casey, and review where your reasoning can improve.
Choose a caseFrequently asked questions
Finding where the case went wrong
My recommendations keep coming out messy. Is the conclusion itself the problem?
Often not. A messy recommendation can start much earlier, for instance when you misread the objective, and slow maths can begin before you touch a number if you have not decided what to calculate. Review the attempt for the first point where your reasoning stopped helping the client, and fix that behaviour.
Should I try to fix every weakness in my next practice case?
No. Choose the earliest recurring breakdown and work on that. If you repeatedly miss the objective, start there, because later steps inherit the error. If your structure is sound but you lose direction after an exhibit, practise the transition from a finding to the next analysis instead.
What is a repair loop, and how do I run one?
It is a short cycle for fixing one behaviour. Reconstruct the moment that went wrong, including what you said or wrote. Make a second attempt at that moment with a clear correction. Then test the correction on a fresh, unfamiliar problem to confirm it works beyond the case where you spotted it.
Staying on the client's problem
How do I avoid answering a different question from the one asked?
Write the client's actual target at the top of your page, then confirm what success means and any constraint that changes the answer. If a clinic wants shorter appointment waits, a structure about raising revenue drifts from the objective. More revenue might eventually fund staff, but you have skipped establishing what is causing the delay.
Is it a mistake to use customers, competition, company and costs as my framework?
Only if you stop at the labels, which could fit any company. Translate them into the client's questions. For a rural delivery route, ask how many deliveries customers will buy, what they will pay, how many stops a driver can complete and whether the route's contribution covers its added costs.
How do I decide which data to request during a case?
State what you are trying to learn before asking for anything. If a subscription company loses money because customers leave before acquisition spending is recovered, market sizing and competitor advertising budgets miss the point. Ask whether early churn is concentrated in a particular acquisition channel, because that answer tells you where to look next.
Getting numbers and exhibits right
My mental maths was correct, so why was my growth figure wrong?
The setup was wrong, not the arithmetic. If revenue rises from $60 million to $75 million, the $15 million increase must be divided by the starting value. Dividing by $75 million gives 20%; dividing by $60 million gives the correct 25%. Faster multiplication cannot fix a denominator mistake.
What routine helps me avoid setup errors before I calculate?
Write the formula in words first, such as change divided by starting value. Label the units and the period, do the calculation, then check whether the scale of the result is sensible. This catches errors in how the number is defined, which practising quicker calculation alone will not reveal.
Is describing the trend in a chart enough?
No. Saying the premium segment is growing while the basic segment shrinks describes the exhibit but tells the client nothing about what to do. Move to the implication: what the change means for the client's problem and which analysis it points towards next, so the exhibit actually advances the case.
Can I claim a mix shift explains higher profit as soon as I notice it?
Only after checking the segment economics. A shift towards premium orders could explain stronger profit even while total order volume falls, but only if premium orders contribute much more per order. Treat it as a hypothesis, confirm the contribution by segment, and then state the conclusion.
Adapting and finishing strongly
What should I do when the interviewer changes a number my recommendation relied on?
Recalculate and change the recommendation openly if the evidence requires it. A $300,000 automation investment saving $120,000 a year pays back in 2.5 years, inside a three-year limit. At one shift, the saving falls to $60,000 and payback becomes five years, so defending the original answer would make your confidence work against you.
How should I end a case instead of summarising what I covered?
Lead with the recommendation and the reason. Rather than saying you looked at demand, costs and competition, say: do not invest under the one-shift plan, because its five-year payback exceeds the three-year limit. Then add what would change the answer, such as a supplier offer at $180,000 or below meeting the limit.