When an interviewer gives you an exhibit, your job is to make the client's problem clearer. Reading every label aloud rarely does that. Finding the comparison that changes the next decision does.
I would approach an exhibit with one question in mind: what can this evidence tell us about the problem we are trying to solve? Then take enough time to understand what the numbers measure before offering a conclusion.
Put the client's question above the chart
If the client wants to know why profit fell, look for changes in revenue, costs, mix or the economics of individual segments. If the client is choosing where to expand, compare the options on attractiveness, feasibility and the required return.
The same chart can support different analyses. A market-growth exhibit might explain demand conditions without telling you whether the client can earn money there. A revenue breakdown might identify the biggest segment without identifying the most profitable one.
Say your intended use briefly: “I'll look for which segment explains the profit decline.” That gives the analysis direction and lets the interviewer correct a misunderstanding early.
Establish what one number means
Read the title, units, time period, categories and relevant footnotes. You should be able to explain one row or data point in ordinary language.
For example: “This is monthly contribution per sold room-night, after the stated channel costs.” That is more useful than “This is a table with four columns.”
Pay particular attention to the denominator. Does “renewal rate” mean renewed customers out of everyone in the database, everyone due to renew or everyone who completed payment? Does “capacity” mean machine hours, usable slots or completed work?
If an unfamiliar label prevents you from interpreting the exhibit, ask about that label specifically. “Does utilisation here use scheduled hours or staffed hours?” is a focused question. “Can you explain the chart?” hands over the whole analytical task.
First establish what the exhibit measures. Once you can make a useful comparison, move from describing the chart to explaining the finding.
Work through a hotel exhibit
The hotel manager wants to know whether a shift towards direct bookings improved the economics. The following table is illustrative. Both periods contain 100 sold room-nights at the same £100 gross price.
| Channel | Earlier room-nights | Current room-nights | Contribution per room-night |
|---|---|---|---|
| Direct | 60 | 80 | £80 |
| Booking platform | 40 | 20 | £65 |
The obvious observation is that direct bookings increased. The useful finding is what that did to contribution.
Twenty bookings shifted to a channel contributing £15 more per room-night. Contribution therefore rises £300 per 100 sold room-nights, from £7,400 to £7,700. Gross room revenue remains £10,000.
You can communicate the result in three sentences:
“The shift towards direct bookings improves contribution by £300 per 100 sold room-nights, with revenue unchanged. Twenty bookings now contribute £15 more each. I would compare that gain with the additional cost of acquiring those direct bookings before expanding the strategy.”
The finding leads, the calculation supports it, and the next request follows from the decision. The next check is whether additional direct-acquisition spending exceeds the £300 gain, including any contribution lost from displaced platform bookings.
Choose the comparison that answers the question
The biggest number is not always the most useful number. Nor is the fastest-growing segment automatically the main source of growth.
Suppose a large division grows from £200 million to £210 million while a small division grows from £10 million to £13 million. The smaller division grows faster, at 30% versus 5%. The larger division contributes more absolute revenue growth: £10 million versus £3 million.
If the question is what drove total growth, lead with the £10 million contribution. If it is where momentum is strongest, the smaller division's 30% rate matters. If it is where to invest, you still need economics, capacity and achievable returns.
Choose the comparison that reveals the important finding, even when the chart's presentation does not make it obvious.
Quick Exhibit Drill
A speciality coffee roaster grew revenue this year. Its board asks you which sales channel drove the increase in total revenue.
| Channel | Last year | This year |
|---|---|---|
| Wholesale | £40.0m | £44.0m |
| Online shop | £2.0m | £3.0m |
| Cafés | £8.0m | £8.4m |
Which headline best answers the board's question about total revenue growth?
Adjust your reading to the chart
| Exhibit type | Useful first move | Common trap |
|---|---|---|
| Bars or a table | Compare the relevant groups and calculate the gap | Treating a large level as a large change |
| Line chart | Read the time interval and whether the series is cumulative | Calling a rising cumulative total accelerating growth |
| Stacked bars | Check both total size and segment shares | Treating a larger share as higher absolute volume |
| Waterfall or profit bridge | Reconcile the starting value, changes and ending value | Counting an endpoint as another change |
| Scatter plot | Read both axes and inspect the relationship and unusual points | Treating association as an established cause |
| Bubble or variable-width chart | Read what size and width encode as well as the axes | Ignoring a second quantity encoded in area or width |
Do not force a memorised chart script onto the exhibit. Explain the relationship it actually shows. If the y-axis starts above zero, use the values to quantify the difference rather than trusting how dramatic the bars look.
Inspect the groups behind a surprising average
An overall service rate can fall while performance improves within every category if the workload shifts towards harder cases. A subscription's aggregate renewal rate can fall when a new, lower-retention cohort enters the denominator.
When the headline seems inconsistent with the detail, reconstruct the total from counts and rates. Then hold the mix constant to distinguish within-group change from the effect of different weights. Multiply each group’s volume by its rate, add the results, then divide by total volume to rebuild the weighted average.
This is not a reason to dismiss the aggregate. The customer experience or total business result can still worsen. The segmentation tells you why and where to act.
Quick Exhibit Drill
A courier's operations director is worried about on-time delivery. Last quarter the courier carried only city parcels, with 90% arriving on time.
| Segment this quarter | Deliveries | On time |
|---|---|---|
| City | 3,000 | 92% |
| Rural (new contract) | 1,000 | 60% |
What was the courier's overall on-time delivery rate this quarter?
Turn an interpretation into the next analysis
Keep three levels separate in your reasoning: the observed result, the explanation it supports and the decision you can make.
If hotter production periods show lower uptime, temperature is a sensible hypothesis to investigate. The next evidence should distinguish heat-related failures from changes in product mix, maintenance or shifts. Repeating “correlation is not causation” does not help the client choose that test.
Likewise, if an option fails a mandatory service requirement, remove it before ranking the qualifying options by cost. A cheap route that misses the required turnaround time is not the best feasible choice. Apply the service constraint first, then compare the costs of the remaining options.
Practise a headline the interviewer can use
Take one unfamiliar exhibit and produce a short answer with a finding, a numerical proof point and an implication. Then listen to the recording.
Does the main point arrive first? Did you use the right units? Does the implication follow from the evidence? Could the interviewer tell what you would investigate next?
Select the important finding and explain it in plain language. Use the figures needed to support it, instead of reciting every available number.
Try the hotel revenue-management exhibit drill. Give Casey the finding before the tour of the data, then review whether your recommendation is supported by the exhibit.
Exhibit analysis drill
What would an MBB interviewer make of your chart analysis?
Hotel Revenue Management: Where Is the Property Leaving Money on the Table?
Read a business exhibit and explain your conclusion aloud. Get feedback on your interpretation, supporting figures and business implication.
Frequently asked questions
Reading an exhibit
What does the interviewer want when they hand me a chart?
They want you to make the client's problem clearer, not read every label aloud. Approach the exhibit by asking what this evidence tells you about the problem you are solving. For example, if the client wants to know why profit fell, look for changes in revenue, costs, mix or the economics of individual segments.
Can the same chart answer different questions?
Yes, which is why the client's question must come first. A market-growth exhibit might explain demand conditions without showing whether the client can earn money there. For an expansion choice, compare options on attractiveness, feasibility and required return. For a profit decline, focus on what changed in revenue, costs or mix.
What should I read first on an exhibit?
Read the title, units, time period, categories and any relevant footnotes. Then check that you can explain one data point in ordinary language, for example: “This is monthly contribution per sold room-night, after the stated channel costs.” That shows the interviewer you understand the measure in a way that “a table with four columns” does not.
Why does the denominator matter when reading a rate?
Because the same label can hide different measures. Before using a renewal rate, ask what it is measured against: everyone, or a particular group of customers. If you skip this check, you may explain a change that comes from how the rate is defined rather than from real performance.
Should I read a line chart differently from a table?
Yes, the first step differs. For bars or a table, compare the relevant groups and calculate the gap, taking care not to mistake a large level for a large change. For a line chart, check the time interval and whether the series is cumulative. A rising cumulative total does not mean growth is accelerating.
Choosing and checking the comparison
Is the fastest-growing segment always the main source of growth?
No. Growth rate and absolute growth answer different questions. In the article's example, a small division growing from £10 million to £13 million grows 30%, while a large one growing from £200 million to £210 million grows 5%. Yet the large division adds £10 million against £3 million, so it contributes more growth.
How do I analyse a channel-mix exhibit like the hotel example?
First notice what is held constant. Both periods have 100 sold room-nights at the same £100 gross price, so volume and price cannot explain any change. Direct bookings rise from 60 to 80 room-nights at £80 contribution each. Any change in the hotel's economics therefore comes from channel mix, which is exactly what the manager asked about.
How can an overall average fall when every group improved?
A shift in mix can cause it. An overall service rate can fall while every category improves if the workload shifts towards harder cases. Likewise, an overall renewal rate can drop when a new, lower-retention group of customers is added to the total. Rebuild the total from counts and rates, then hold the mix constant to separate the two effects.
Explaining what it means
How do I move from what the chart shows to what the client should do?
Keep three levels separate: the observed result, the explanation it supports and the decision you can make. An exhibit may show a pattern clearly while only suggesting a cause. State the finding confidently, present the explanation as a hypothesis, and say what decision would follow if that hypothesis holds.
Is it enough to say “correlation is not causation” about an exhibit?
Saying it on its own rarely helps. The interviewer wants to see which test would separate the plausible explanations. If hotter production periods show lower uptime, propose evidence that distinguishes heat-related failures from changes in product mix, maintenance or shifts. Naming that analysis shows you understand the limitation and can still move the client forward.
How should I structure my answer after analysing an exhibit?
Give a finding, a numerical proof point and an implication, with the main point first. State the important finding in plain language. Support it with the figures that prove it, in the correct units. Then say what it means for the client and what you would investigate next.
How can I practise exhibit analysis on my own?
Take an unfamiliar exhibit, record a short answer and listen back. Check four things: whether the main point comes first, whether the units are right, whether the implication follows from the evidence and whether the interviewer could tell what you would investigate next. Repeat with a new exhibit, fixing one weakness at a time.