Pricing Case Interview Example: Full Case With Answer

A pricing case interview example asks you to set one price and back it with numbers. In this pricing case study example, Ospry Robotics prices a new warehouse picking robot and compares prices on contribution, not margin. At $225K per robot it earns $18.9M against $13.0M at $250K, so the answer is $225K.

This guide covers the clarifying questions, a floor from cost, a reference from competitors, a ceiling from customer value, the volume check and the 60-second recommendation.

What does a pricing case interview example look like?

A pricing case gives you a product and asks one question: what should it cost? You get a few facts (costs, a competitor, a customer benefit, how volume reacts to price) and have to turn them into one number. Here is the full case we will solve, in the words an interviewer would use.

The prompt: "Your client is Ospry Robotics, a startup that has built a picking robot for warehouses. It walks the aisles, picks items into totes and works two shifts a day. The target buyers are mid-size distributors in the US. Ospry is launching next quarter and has to set one list price for the first year. What price would you recommend?"

This is a made-up client with made-up numbers, built to teach the three-number method, so you can check every step yourself.

Practice it live: MedSuite Technologies hospital software pricing is a different client with its own demand table and competitors, run by an AI voice interviewer. It is the same skill on new data.

Pricing prompts come in three formats, and each one is solved with the same floor, reference and ceiling:

• Set a price for a new product or service: the Ospry prompt above. "What should we charge for the first year?"
• Evaluate a price change: "A SaaS tool wants to raise its price 12%. Should it?" Solve it with break-even volume, as in the short example near the end of this page.
• Explain a change in market prices: "Lumber prices rose 40% in a year. Why?" Solve it with supply and demand, not cost-plus.

For the full method behind all three, read the pricing case interview framework. This page is the example: one case, solved end to end with every number shown. For other case types, case interview examples has worked cases across the main archetypes.

What clarifying questions should you ask in this pricing case?

Ask five or six questions, in this order: objective, product, customers, costs, competition, constraints. Here is how the exchange goes, with the interviewer's answers.

You: "What is the goal for the first year: revenue, profit or market share?" Interviewer: "Profit. Ospry wants to cover its fixed costs and show a profit in year one."

You: "What does the robot do versus what the customer does today?" Interviewer: "One robot replaces about four full-time pickers across two shifts. It installs in two days with no changes to racking."

You: "Who is the buyer, and how many are there?" Interviewer: "Mid-size US distributors, around 5,000 of them. Each would buy one robot to start."

You: "What does one robot cost Ospry to make and service, and what are the fixed costs?" Interviewer: "Variable cost is $120K per robot: $92K of parts, $14K assembly and $14K for warranty and service. Fixed costs are $12M a year."

You: "Who is the closest competitor, and what do they charge?" Interviewer: "Rovic sells a rail-guided system for $225K. It replaces about three pickers and takes three months to install."

You: "Any constraints on price, volume or structure?" Interviewer: "One list price, no leasing. Customers expect payback within 18 months. We can build at most 220 robots in year one."

Notice what each answer set up. The cost answer gives the floor. The picker answer gives the value ceiling. The competitor answer gives the reference. The 220 limit is a trap you will meet later, when a low price tries to sell more robots than Ospry can build.

How do you structure the Ospry pricing case?

Use the floor, reference and ceiling structure, then add a volume step to choose inside the range. Say the structure out loud in under a minute before any math.

This is the same logic as the profitability framework (profit is price times volume minus costs), pointed at the price lever. If you also need to decide whether to enter the market at all, use the market entry framework first and come back here for the price.

What is the price floor?

The floor is the lowest price that does not lose money on each robot sold, which is the variable cost: $92K + $14K + $14K = $120K. Below that, every sale makes Ospry poorer.

Two more floors are worth a sentence each:

• Target-margin floor. If Ospry wants a 35% gross margin on price, the price is $120K / (1 - 0.35) = $184.6K. A 35% markup on cost gives only $162K, which is a 26% margin. Margin is measured on price and markup on cost, and mixing them up is a classic slip.
• Full-cost floor. Fixed costs of $12M spread over 180 robots add $66.7K each, for a full cost of $186.7K per robot. This depends on volume, so it cannot be fixed until you pick a price.

State the floor as $120K and move on. The floor is where the price cannot go, not where it should be.

What is the price ceiling?

The ceiling is the most the customer will pay, which comes from the value the robot creates for them, capped by the payback they demand. Exhibit 1 gives the customer's economics.

Exhibit 1: One robot at a mid-size distributor, per year

Net saving is $200K - $20K = $180K a year. Customers expect payback within 18 months, which is 1.5 years, so the most they will pay is $180K x 1.5 = $270K.

There is a second way to size the ceiling from the competitor. Rovic charges $225K for three pickers, or $75K per picker replaced. Ospry replaces four, so parity per picker would be 4 x $75K = $300K. The payback test gives $270K and the per-picker test gives $300K, so use the lower one: $270K is the ceiling. When two ceilings disagree, the tighter constraint binds.

Above $270K the robot is not worth buying for the customer. At $270K Ospry would be taking all the value, leaving nothing to make the customer switch. The right price sits well below it.

Where does the competitor price fit?

Rovic's $225K is the reference, not the answer. It tells you what customers compare against, but Ospry has an edge that supports a price near or above it: it replaces four pickers instead of three, and installs in two days instead of three months. Ospry also has a gap to explain, since it is a new brand with no track record.

That gives a range to test: floor $120K, reference $225K, ceiling $270K. The next step is to choose a point in that range, and that depends on how many robots sell at each price. Now we need volume.

Which price makes the most money?

Price matters this much because of leverage: McKinsey Quarterly (2003) found that for the average S&P 1500 company a 1 percent price rise, with volumes unchanged, lifts operating profit 8 percent. Cases test the part of that sentence that reads "with volumes unchanged".

Ospry ran a pilot survey with distributors and shares it as Exhibit 2. It shows the share of the 5,000 target distributors that would buy a robot in year one at each price.

Exhibit 2: Pilot survey, year-one buyers by price

Check the exhibit before using it. Robots demanded is 5,000 times the share: 5.0% is 250, 3.6% is 180, 2.0% is 100 and 0.8% is 40. Payback is price divided by $180K, in months: $225K / $180K = 1.25 years = 15 months. Each price is inside the 18-month limit, and the $270K row sits exactly on it.

Now run the number that decides the case: contribution, the money left per robot after variable cost, times robots sold. Ospry can only build 220 robots, so at $190K it sells 220, not the 250 demanded.

Contribution by price

The arithmetic: $190K - $120K = $70K, and 220 x $70K = $15.4M. $225K - $120K = $105K, and 180 x $105K = $18.9M. $250K - $120K = $130K, and 100 x $130K = $13.0M. $270K - $120K = $150K, and 40 x $150K = $6.0M. Take away the $12M fixed costs for profit: $3.4M, $6.9M, $1.0M and -$6.0M.

$225K wins. Look at what the wrong instincts would pick:

• Highest margin picks $270K. Margin on price is 55.6% at $270K, 52.0% at $250K, 46.7% at $225K and 36.8% at $190K. It rises with every price, so it always points to the ceiling, where Ospry loses $6.0M.
• Highest volume picks $190K. It sells the most robots (220 after the cap) but leaves $35K per robot on the table compared with $225K, and it needs the whole factory. Even uncapped, 250 x $70K = $17.5M is below $18.9M.
• Cost-plus picks about $185K. A 35% margin target gives $184.6K, and the pilot never tested that point. It lands near $190K and earns less.

Higher price loses volume faster than it gains margin once you pass the competitor's $225K. From $225K to $250K, each robot earns $25K more (+24%) while demand falls 44%, from 180 to 100. That is the pattern to check in every pricing case: does the extra margin per unit outrun the units lost?

How sensitive is the answer to the volume forecast?

A survey is a forecast, and a good candidate says what would change the answer. Two tie points do that.

• Against $190K. $190K earns $15.4M. At $225K, Ospry needs $15.4M / $105K = 146.7, so 147 robots, to match it. That is 2.9% of the market against a forecast of 3.6%, so the forecast can miss by 33 robots (18%) and $225K still wins.
• Against $250K. $250K would need $18.9M / $130K = 145.4, so 146 robots, to match $225K. The forecast is 100, so it would need 46 more robots, or demand 46% above the survey. That is unlikely for a price 11% higher than the competitor's.

Break-even is also cheap to state. Fixed costs of $12M divided by $105K per robot is 114.3, so Ospry needs 115 robots at $225K to cover fixed costs, about 2.3% of the market. A related way to find such thresholds is explained in the break-even analysis case interview guide, and case interview math practice has drills for the multiplication and division used on this page.

A last sanity check on value capture: at $225K the customer's payback is 15 months, and Ospry keeps $105K of each robot's gross profit while the customer saves $180K a year. Both sides win, so the price is stable.

What is the 60-second recommendation?

Say the price first, then three reasons, the risks and the next step. This is how it sounds out loud.

"I recommend a list price of $225K per robot. The range is bounded by a $120K variable cost floor and a $270K ceiling set by the customer's 18-month payback on $180K of yearly savings. Rovic's $225K is the reference, and Ospry beats it on pickers replaced and on install time, so matching its price gives customers a better deal without a discount. In the pilot survey, $225K sells 180 robots and earns $18.9M of contribution, or $6.9M of profit after $12M of fixed costs. That beats $190K at $15.4M, which is capped at 220 robots, and $250K at $13.0M. The main risk is the volume forecast: $225K stays ahead of $190K as long as it sells at least 147 robots. Next step: run a paid pilot with 20 distributors at $225K to confirm conversion, and set a 12-month price review."

That answer takes about a minute out loud. It gives the number first, the reasoning second and the limit of the evidence last.

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How is this pricing case scored?

Interviewers grade the answer on the same seven categories Road to Offer scores in every debrief: structure (25% of the score), quantitative analysis (20%), business judgment (15%), and problem understanding, exhibit reading, communication and synthesis (10% each). Here is what the Ospry case looks like at each level.

A common pattern: candidates who find the $120K floor and the $270K ceiling and then pick the midpoint ($195K) get most of the structure marks and lose the quantitative ones, because the midpoint was never tested against volume.

What are the common mistakes in a pricing case?

Pricing cases also overlap with other case types. A new product launch case often ends in a price, a revenue growth case may use price as one lever, and the Simon-Kucher case interview guide covers a firm built around pricing work. For the unit economics behind per-robot contribution, see the unit economics framework, and for splitting buyers by willingness to pay, the customer segmentation framework.

How do you evaluate a price change instead of setting a price?

The second pricing format asks whether a price move pays off. Here is a short example on the same client, solved with break-even volume.

Prompt: "A year after launch, 1,000 Ospry robots are installed. Each pays a $10,000 annual service plan, and the plan costs Ospry $6,000 a robot to deliver. Ospry wants to raise the plan to $11,000. Should it?"

Today's contribution is ($10,000 - $6,000) x 1,000 = $4.0M. At $11,000 each plan earns $5,000. So Ospry breaks even if it keeps $4.0M / $5,000 = 800 customers, which means it can lose up to 200 of 1,000 (20%) before the increase hurts. A faster formula: the break-even loss is price increase divided by new margin, $1,000 / $5,000 = 20%.

The trap is to compare revenue instead: $10M / $11,000 = 909 customers, a 9.1% loss. That says the increase fails if more than 9.1% leave, when the true number is 20%, because lost customers also stop costing $6,000 to serve. Use contribution, then ask whether a 20% loss is plausible for a service plan the robot needs to keep running. The pricing framework guide has a second price-change example with a SaaS product.

Which pricing practice cases are in the Road to Offer library?

The case table below lists three real pricing cases, each a different structure from the Ospry case. Median times come from completed runs between June 25 and September 22, 2026, and count runs, not people.

Case (style, industry)	Quant difficulty	Qualitative difficulty	The math you run	Median time
MedSuite Technologies Hospital Software Pricing (McKinsey, healthcare technology). 8 (3 with math), 2 exhibits.healthcare technologyQuant difficulty mediumQualitative difficulty medium20 min· 18 voice runsTry free	medium	medium	Revenue by price and hospital size, tiered pricing	20 min18 voice runs20 min, 18 voice runs	Try free
City Bike Share Concession (McKinsey, urban transportation). 9 (4 with math), 3 exhibits.urban transportationQuant difficulty hardQualitative difficulty medium32 min· 11 voice runsTry free	hard	medium	Revenue, cost and profit over a 15-year concession	32 min11 voice runs32 min, 11 voice runs	Try free
Lux Rides Vietnam Pricing (McKinsey, luxury mobility). 8 (3 with math), 3 exhibits.luxury mobilityQuant difficulty hardQualitative difficulty mediumFewer than 10 runsTry free	hard	medium	Landed cost, margin on price, survey revenue	Fewer than 10 runsFewer than 10 runs	Try free

MedSuite is the best first pick for the method on this page, since it has a demand table by customer size, a competitor table and a cost structure. More are in the case library, 92 cases in all, and the Oliver Wyman and BCG practice-case guides each include a pricing case. Your first full case is free when you create an account.

Related guides

• Pricing Case Interview Framework: the full method, three pricing strategies and a SaaS price-change example
• Case Interview Examples: worked cases across every main archetype
• Case Interview Frameworks Complete Guide: when to use each framework
• Issue Tree Case Interview: how to build the structure you say out loud
• Healthcare Case Interview: where the MedSuite pricing case fits
• Supply Chain Case Interview: warehouse and logistics cases like the Ospry client's buyers

Sources

• McKinsey Quarterly, "The Power of Pricing" (2003): a 1 percent price rise, with volumes unchanged, produces an 8 percent increase in operating profit for the average company in the S&P 1500 (checked November 2026 in a course copy of the article)
• Hacking the Case Interview: Pricing Case Interview (checked November 2026): the three formats and the floor and ceiling method
• RocketBlocks: Pricing case interviews (checked November 2026): example prompts and framework comparison
• PrepLounge forum: Pricing cases examples (checked November 2026): candidates asking for full pricing cases with answers

The Ospry Robotics case, its client and all of its numbers are invented for this article.