Author: Taylor Warfield, Former Bain Manager and interviewer

Last Updated: July 6, 2026

 

The McKinsey Solve Red Rock game is a 35-minute data-interpretation task inside McKinsey's Solve assessment, where you play a researcher on Red Rock Island, work through a Study section of three phases, then solve six timed mini-cases. This guide breaks down every phase, the exact math you will face, how the game is scored, and the tactics that separate the candidates who pass from the majority who get screened out.

 

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Key Takeaways

 

The Red Rock game is a 35-minute research simulation in McKinsey Solve that tests how quickly and accurately you collect data, run simple calculations, and turn results into a report.

 

• Red Rock is usually the first game you play in Solve, followed by Sea Wolf and sometimes Sustainable Futures Lab

 

• The game has two parts: a Study section with three phases (Investigation, Analysis, Report) and a Cases section with six mini-cases

 

• You get 35 minutes total, which works out to roughly two minutes per question once you account for reading

 

• The math is basic: growth rates, ratios, percentages, and proportions, all done with a built-in calculator

 

• McKinsey scores both your answers (product score) and how you work (process score), tracking every click and drag

 

• Most candidates fail on pacing and unfamiliarity, not intelligence, so rehearsing the format is the biggest lever you have

 

What Is the McKinsey Solve Red Rock Game?

 

The McKinsey Solve Red Rock game is a 35-minute data-interpretation task where you act as a researcher studying an ecosystem on the fictional Red Rock Island. You read a digital research journal full of text, charts, and tables, pull the relevant numbers, run calculations, complete a short written report, then answer six quick cases. It is the data-heavy module inside the broader McKinsey Solve assessment.

 

You will see the game written as Red Rock, Redrock, or RedRock Island depending on the source. They all refer to the same module. The exact species and exhibits change from one candidate to the next: one person might study wolf packs and elk herds, another might analyze plant biomass, reservoir levels, or migration patterns.

 

McKinsey introduced Red Rock in 2023 to replace the older Plant Defense game. After the firm retired the Ecosystem Building game in mid-2025, Red Rock moved up to become the first game most candidates play in Solve.

 

What Does the Red Rock Game Test?

 

Red Rock tests how you handle raw data under time pressure: selecting the right evidence, running clean calculations, and building a defensible conclusion. The wildlife setting is a costume. The skills underneath are the exact ones a junior consultant uses when reading a client's data room.

 

Here is what the game rewards:

 

• Data selection: most of the information on screen is noise, and your job is to identify the few numbers that actually answer the question

 

• Calculation accuracy: you run percentages, ratios, and growth rates, and small arithmetic slips cascade into wrong report values

 

• Structured reasoning: you decide what to compute first and how each result feeds the next, the same discipline a real case demands

 

• Speed under pressure: the timer is tight enough that hesitation on one question steals time from the next

 

What it does not test is just as important. Red Rock does not reward memorized business frameworks, industry knowledge, or the mechanics of a live McKinsey case interview. If you have been grinding profitability trees expecting them to show up here, you have prepared for the wrong game.

 

How Is the Red Rock Game Structured?

 

The Red Rock game has two parts, Study and Cases, and the Study part is split into three sequential phases. That gives you four stages in total: Investigation, Analysis, Report, and Cases. A short untimed tutorial introduces each new mechanic before the clock starts on that section.

 

Part	Phase	What you do
Study	Investigation	Read the journal and drag the useful data into your research journal, ignoring the noise
Study	Analysis	Run calculations on the data you collected, using the built-in calculator to answer targeted questions
Study	Report	Fill in the blanks of a written summary, choose a chart type, and populate it with your results
Cases	Cases	Solve six short, independent questions under sharper time pressure, drawing on the same data skills

 

What happens in the Investigation phase?

 

In the Investigation phase, you are handed a research question and a screen full of evidence. The center panel shows text excerpts, charts, and tables, and much of it is deliberately irrelevant. Your task is to spot the data that matters and drag it into the research journal on the right side of the screen.

 

The trap here is completeness. Candidates try to collect everything, run out of time, and never reach the calculations. Read the objective first, then hunt only for the numbers that serve it.

 

What happens in the Analysis phase?

 

The Analysis phase is where you turn collected data into answers. A built-in calculator appears, and you compute values like growth rates, averages, and proportional changes. The calculator logs every result as reusable data, so you can drag a prior answer straight into the next calculation without retyping it.

 

This is the phase where clean arithmetic pays off. One wrong intermediate number can poison every downstream answer, including your report.

 

What happens in the Report phase?

 

In the Report phase, you assemble your findings into a short written summary. You fill in blanks in a template, select the chart type that best represents your data, then populate that chart with the correct values. The report is graded on accuracy, not prose, so the numbers underneath it have to be right.

 

Choosing the wrong chart, a line chart where a bar chart fits, is a common and avoidable point loss. Match the chart to what the data is actually showing.

 

What are the six Red Rock cases?

 

After the Study section, you face six independent mini-cases. Each one is a self-contained question built on the same read-calculate-answer loop, but the clock is tighter and there is no shared narrative tying them together. They usually come as multiple choice or fill-in-the-blank.

 

Because the cases are separate, a hard one cannot sink the rest. If a question is eating your clock, lock in your best data-backed guess and move on to protect the ones you can win.

 

How Long Is the Red Rock Game and Where Does It Fit in McKinsey Solve?

 

Red Rock runs for 35 minutes and is almost always the first game in your Solve session. The number of games you get depends on the total time listed in your invitation email, which is the fastest way to know what you are walking into.

 

Invitation length	Games you will play
65 minutes	Red Rock and Sea Wolf
85 minutes	Red Rock, Sea Wolf, and Sustainable Futures Lab

 

Each game runs on its own clock, so you cannot save minutes on Red Rock and spend them elsewhere. The Sea Wolf game is a microbe-optimization task, and Sustainable Futures Lab is a 20-minute judgment module that McKinsey added to many 85-minute invitations in 2026.

 

Order and timing can still shift by office, role, and region, so always follow the exact instructions in your invitation. Solve sits early in the McKinsey interview process, before first-round interviews, which is why a weak score ends most applications on the spot.

 

What Kind of Math Shows Up in Red Rock?

 

Red Rock math is basic arithmetic done fast and accurately. The most common operations are growth rates between two periods, proportional changes across segments, ratios, averages, and percentages. Nothing requires advanced formulas, which is why speed and precision beat cleverness here.

 

Here is a clearly illustrative example of the kind of calculation you will run. Say a wolf population was 400 in year one and grew to 520 by year three. The increase is 520 minus 400, which is 120, and 120 divided by the starting 400 gives a 30% rise over that span.

 

Now imagine the follow-up asks which of three regions drove that growth. You would compare each region's contribution to the total change, spot the dominant driver, and report it. That pattern, isolating the biggest mover in a trend, recurs constantly.

 

The built-in calculator handles the operations, so your edge comes from setting up the right calculation quickly. Drilling case interview math until percentages and ratios are automatic is the most transferable prep you can do for this game.

 

How Is the Red Rock Game Scored?

 

McKinsey scores Red Rock on two dimensions: a product score and a process score. The product score measures whether your final answers, report values, and case selections are correct. The process score measures how you got there.

 

This dual system is what makes Solve different from any test you have taken. Every click, drag, and sequence of moves is logged, so the assessment can see whether you worked in a structured, efficient way or stumbled into answers by trial and error.

 

McKinsey does not publish a passing score or cutoff. Based on candidate reports, your pattern of behavior is compared against how strong performers at the firm approach the same tasks, and office competitiveness shifts the effective bar. Having coached hundreds of candidates through this stage, I have seen technically sharp people fail purely because their process looked frantic and disorganized.

 

How Hard Is the Red Rock Game to Pass?

 

The Red Rock game is hard for most candidates, but not because the material is complex. Based on candidate reports, only about 20% to 30% of applicants clear the full Solve assessment, which lines up with how selective the firm is overall. The difficulty comes from the interface, the pacing, and the shock of a format nobody has seen before.

 

That is actually good news. Pacing and unfamiliarity are the two most fixable problems in all of consulting recruiting. A candidate who has rehearsed the drag-and-drop mechanics and the recurring math patterns walks in calm while everyone else is decoding the interface for the first time.

 

If you want the wider context on how hard it is to get into McKinsey, Solve is the first major filter, and it is where the largest share of applicants drop out. Treat it as the gate it is, not a formality.

 

How Do You Pass the McKinsey Red Rock Game?

 

You pass Red Rock by rehearsing the format until the interface and the math feel automatic, then working with a disciplined objective-first process on test day. Here are the nine tips I give coaching clients before they sit the game.

 

Tip #1: Read the objective before you touch the data

 

Every phase opens with a specific question, and everything you do should serve it. Fix the objective in your mind first, then hunt only for the numbers that answer it. This single habit prevents the most common failure, drowning in irrelevant data.

 

Tip #2: Practice the interface before test day

 

The drag-and-drop journal, the logging calculator, and the three-panel layout are unfamiliar to almost everyone. Reading about them is not the same as using them under a timer. Rehearse the mechanics until they cost you zero thought during the real thing.

 

Tip #3: Filter aggressively, then compute

 

Most of the data on screen is noise. Build the reflex of objective first, filter second, compute third. Collecting everything feels safe but guarantees you run out of clock.

 

Tip #4: Use quick approximations where you can

 

Many questions can be resolved with a fast percentage or ratio estimate rather than a precise decimal. Perfect precision wastes time you do not have. Get confidently to the right answer, then move.

 

Tip #5: Reuse the calculator's logged answers

 

The Red Rock calculator stores every result as reusable data. Drag a prior answer into the next calculation instead of retyping it. This cuts errors and saves precious seconds across a dozen-plus questions.

 

Tip #6: Match the chart to the data in the Report phase

 

Chart selection is scored, and the wrong choice is an easy point to give away. Use a bar chart to compare categories and a line chart to show change over time. Let the shape of your data pick the chart.

 

Tip #7: Protect your time across the six cases

 

The cases are independent, so one brutal question should not sink the others. If a case is draining your clock, make a data-backed guess and advance. A balanced score across all six beats perfection on two.

 

Tip #8: Work in a visible, structured way

 

Remember that your process is scored, not just your answers. Move deliberately, collect data in a logical order, and avoid frantic clicking. A calm, structured pattern signals the exact thinking McKinsey wants to hire.

 

Tip #9: Simulate full 35-minute runs under pressure

 

Single questions do not build the stamina the game demands. Do complete timed runs so the pacing pressure becomes familiar rather than shocking. The candidates who practice full simulations consistently outperform those who walk in cold.

 

What Should You Do Before and After the Red Rock Game?

 

Before you play, read McKinsey's own rules carefully. The firm states there is no need to prepare, but it also prohibits using outside applications, websites, AI tools, screenshots, or help from others, and you can review the current terms on the official McKinsey Solve page. Breaking those rules can cost you the offer entirely.

 

After you pass Solve, the real gauntlet begins with case and behavioral interviews. That is where strong casing skills separate offers from rejections, and my case interview course walks you through proven frameworks and math in as little as 7 days. Passing the first round interview takes a different skill set than the game, so start that prep the moment your Solve result lands.

 

The McKinsey Solve Red Rock game rewards preparation far more than McKinsey's official guidance suggests, and the single most valuable thing you can do is run full timed simulations so the interface, the pacing, and the math all feel familiar before the real 35 minutes begin.

 

Frequently Asked Questions

 

Is the McKinsey Solve Red Rock game hard?

 

Yes, the Red Rock game is difficult for most candidates because of its tight timer, dense data, and unfamiliar interface. Based on candidate reports, only about 20% to 30% of applicants pass the full Solve assessment. The good news is that the math itself is simple, so most of the difficulty comes from pacing and unfamiliarity, both of which practice fixes.

 

How long is the McKinsey Red Rock game?

 

The Red Rock game lasts 35 minutes, split across a Study section with three phases and a Cases section with six mini-cases. Each phase begins with an untimed tutorial, so the 35 minutes cover only the scored work. You cannot bank unused time and carry it into the next Solve game.

 

Do you need a business background for the Red Rock game?

 

No, you do not need a business background to pass the Red Rock game. The scenario gives you all the context and data you need inside the research journal. McKinsey designed it so a biology student and a finance major start on equal footing, which means fast reading and clean arithmetic matter far more than industry knowledge.

 

Can you practice for the McKinsey Red Rock game?

 

Yes, you can practice for the Red Rock game even though McKinsey says no preparation is needed. Because every version is randomized, you cannot memorize answers, but you can rehearse the interface, the drag-and-drop mechanics, and the recurring math patterns like growth rates and proportions. Practicing the format under a timer is the single biggest lever most candidates have.

 

What happens if you fail the Red Rock game?

 

If you underperform on the Red Rock game and the wider Solve assessment, you will usually receive a rejection email within one to two weeks and will not advance to interviews. Most candidates who do not meet the benchmark can reapply after 6 to 12 months, depending on their office, school, or program policy. Solve is a screening step, so a weak score typically ends that cycle's application.

 

Is the Red Rock game the same as the Sea Wolf game?

 

No, Red Rock and Sea Wolf are two different games inside McKinsey Solve. Red Rock is a data-interpretation task where you read a research journal, run calculations, and write a short report. Sea Wolf is an optimization game where you pick three microbes per ocean site to match target attributes, so it tests pattern recognition rather than data analysis.

 

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