How to Beat the McKinsey Solve Game (2026 Guide)

If you have a McKinsey interview on the horizon, there is a good chance you will meet the Solve game first. It is the gamified assessment McKinsey uses to screen candidates before anyone gets near a live case, and for a lot of applicants it is the most unfamiliar part of the whole process. The good news: it is beatable, and you do not need to be a gamer or a math prodigy to do it well.

The important update for 2026 is the game lineup. The current default Solve format is built around Redrock Study and Sea Wolf. If your invitation is for the longer 85-minute version, Sustainable Futures Lab is now the standard third game to prepare for, not a side topic you can ignore. Older names like Ecosystem Building, Plant Defense, and Ocean Cleanup still appear in old guides and forum posts, but they should not drive your prep unless your own invitation specifically points that way.

What is the McKinsey Solve game?

McKinsey Solve (you’ll also see it called the Problem Solving Game, or PSG) is a roughly 60-90 minute assessment built around interactive, scenario-based mini-games. It grew out of McKinsey’s 2020 acquisition of Imbellus, a company that designed assessments around how you think rather than what you already know. Instead of multiple-choice questions, you are dropped into a simulated world and asked to make decisions under time pressure.

That design is the whole point. McKinsey is not testing whether you’ve memorized profitability frameworks. It is watching how you handle ambiguity, structure a messy problem, work with data, and keep your composure when the clock is running. In other words, it is looking for the same instincts that make someone good at the job: the kind of structured problem solving that defines how the firm actually works.

A few things worth knowing up front:

• No business knowledge is required. McKinsey’s own Solve FAQ is explicit about this. You will not be quizzed on finance or strategy. You will be asked to reason.
• No gaming experience is required either. Each game opens with a short tutorial. Read it.
• Your invitation email tells you the length. A 65-minute invite and an 85-minute invite contain different games (more on that below), so check the email rather than guessing.
• Your process matters. Final answers matter, but so does the way you structure information, compare options, and stay consistent under time pressure.

The games you’ll actually face in 2026

Here is the part most outdated guides get wrong. The current default Solve assessment is built around three games, and which ones you get depends on the length of your assessment:

• 65-minute Solve: Redrock Study and Sea Wolf.
• 85-minute Solve: Redrock Study, Sea Wolf, and Sustainable Futures Lab.

Let’s break down each one.

Disclosure: some of the practice links below are affiliate links to PSG Cracked, a partner I trust for Solve prep.

Redrock Study

Redrock is the closest thing Solve has to a written case interview, compressed into about 35 minutes. You play an ecologist studying a population of animals in a national park, and you move through three phases: investigating the problem, analyzing data, and reporting a recommendation. Along the way you’ll do arithmetic, read and build charts, and interpret exhibits. It is the same kind of analytical work consultants do, just inside a timed digital task.

This is usually where candidates win or lose the most points, because it rewards speed and accuracy at the same time. The math is not advanced: percentages, ratios, weighted averages, and simple projections. But it comes at you quickly, and choosing the wrong chart type or misreading an exhibit costs time you don’t have. If any game deserves the bulk of your practice, it is this one. If Redrock is your biggest risk, start with the Redrock simulations and use the debriefs to see which calculation or chart choice slowed you down.

Here is a more realistic Redrock-style example. You are told that a relocation plan affects two wolf packs, and your recommendation depends on whether each pack hits its Year 5 hunting goal.

The question is not just “calculate the next number.” It is asking whether the plan works for both packs.

• Silverbrook: growth from 50 to 55 is 10%. Add 10 percentage points, so Year 5 growth is 20%. That gives 55 x 1.20 = 66 hunts. The goal is 75, so Silverbrook is still 9 hunts short.
• Granite Hollow: growth from 55 to 66 is 20%. Keeping that rate gives 66 x 1.20 = 79.2 hunts. The goal is 76, so Granite Hollow goes 3.2 hunts over target.
• Report answer: if the report asks you to show plan hunts against goal hunts, choose a bar chart. You need a side-by-side comparison for two packs, not a trend line.

That is the Redrock pattern: read the exhibit, translate the wording into a calculation, then connect the number back to the recommendation.

Sea Wolf

Sea Wolf is the constraint-and-optimization game, and it has quietly become the trickiest of the three for many people. You’re managing contaminated sites and have to make a sequence of decisions: which information to gather, which options to keep in play, and which final choice best fits a set of strict numerical rules. It rewards a calm, methodical filter: narrow the field, check the constraints, then commit.

If you’ve read older guides that mention “Ocean Cleanup,” this is its successor. The theme changed, but the underlying skill is still about averages, traits, and trade-offs. The goal is to build a final treatment that fits the site’s numerical ranges while also respecting desired and undesired traits. Practice with the Sea Wolf simulations if you need realistic timing, and use the Sea Wolf Excel solver when you want to understand why one three-microbe treatment beats another.

Here is the simplest way to understand Sea Wolf. In the final treatment step, you are choosing three microbes as a group. The game then averages their numbers. So you are not asking, “Is each microbe perfect?” You are asking, “Do these three microbes work together?”

In a trimmed Site 1 example from the practice data, the site gives you these rules:

That means your final three-microbe treatment must:

• average between 8 and 10 for Permeability
• average between 6 and 8 for Rigidity
• average between 2 and 4 for Size
• include at least one Heat Resistant microbe
• include zero microbes with Phosphorous Removal

Here are the three microbes that make the treatment work, plus one Site 1 microbe that looks tempting but should be rejected:

The tempting mistake is to pick Orun Nema because its numbers look good. But it has Phosphorous Removal, and the site told you to avoid that trait. So Orun Nema is out.

The cleaner treatment is Lior Volvox + Ryn Bacil + Xylo Phage.

Then check the traits. Xylo Phage gives you Heat Resistant, which the site wants. None of the three selected microbes has Phosphorous Removal, which the site told you to avoid.

That is the whole Sea Wolf logic in miniature: pick three microbes, average the three columns, then check the desired and undesired traits before you submit.

Sustainable Futures Lab

If you have an 85-minute invitation, you should expect Sustainable Futures Lab (SFL) as the standard third game. This one is less about arithmetic and more about judgment. You work through a scenario with competing priorities, stakeholders, and uncertainty, making decisions that need to stay consistent as the situation evolves. Think of SFL as a judgment exercise inside a sustainability scenario: it tests whether you can prioritize, communicate clearly, and adjust your plan when new information appears.

That is why reading about the format is not enough. You need practice making choices in sequence, because the hard part is keeping your reasoning consistent from one screen to the next. The Sustainable Futures Lab simulations are useful for this because they give you repeated scenario runs instead of one abstract description.

Here is what SFL looks like in practice. In one practice mission, you are dealing with the Cedar Valley burn scar before a storm. The burn scar drains toward Arroyo Blanco Reservoir, and you have less than 2.5 days to act. The available resources are limited: three field crews, one straw-blower unit, and limited wattles, inlet screens, and silt fence.

The opening task asks you to rank what you would do first. A strong order is:

1. Review the burn-severity map and drainage network to see which slopes can send runoff toward the reservoir first.
2. Check the latest storm forecast and road-access updates before assigning crews.
3. Speak with the team to understand how they are framing the runoff risk and the main bottlenecks.
4. Learn how partner agencies and field crews usually coordinate during urgent watershed deployments.

That ranking works because it starts with the facts that determine the risk path. You need to know where the runoff will go and whether crews can physically get there before you spend time on broader coordination.

Later, the questions become judgment calls. For example:

This is why SFL is different from Redrock and Sea Wolf. You are rarely hunting for one obvious calculation. You are choosing the answer that is specific, prioritized, and easy for a team to act on.

What about Ecosystem Building?

For years, Ecosystem Building, the food-chain game where you picked species and built a self-sustaining habitat, was the face of Solve. That is why older prep advice still talks about producers, species, calories, and habitats. As of 2026, though, it is no longer part of the default 65- or 85-minute Solve mix.

This is worth mentioning because it protects your prep time. If your invitation or recruiter tells you to prepare for Ecosystem Building, take that seriously. Otherwise, treat it as background context and put your main effort into Redrock, Sea Wolf, and Sustainable Futures Lab.

5 tips to beat the McKinsey Solve game

The format evolves, but the habits that produce a good score don’t. Here are the five that matter most.

1. Protect accuracy before you chase speed. It’s tempting to rush, because the timer is loud and stressful. But a fast wrong answer is still wrong, and Solve weights correctness heavily. Get the first few moves right, then let your speed grow as the patterns become familiar. Confidence under time pressure comes from having seen the format before, which is exactly what practice buys you.

2. Read every tutorial like it matters, because it does. Each game opens with instructions explaining the objective and the controls. Candidates who skim them waste their first few minutes figuring out the interface instead of solving the problem. Thirty seconds of careful reading saves you several minutes of confusion.

3. Keep clean notes. You’re allowed scratch paper and a basic on-screen calculator. Use them deliberately. Jot down the constraints in Sea Wolf, the key figures in Redrock, and the priorities in Sustainable Futures Lab. Messy notes are almost as bad as no notes. The goal is to offload memory so your brain can think.

4. Practice the actual game environment, not just “case math.” This is the single biggest mistake. Case-interview frameworks help your structured thinking, but Solve is a digital assessment with its own interface, pacing, and quirks. The first time you see a Redrock exhibit or a Sea Wolf constraint screen should not be on test day. Run realistic simulations until the mechanics feel familiar.

5. Manage the clock per game, not overall. Each game is separately timed, so a strong Redrock can’t rescue a rushed Sea Wolf. Know roughly how long each phase should take, and if you get stuck, make your best reasoned move and keep going. A decent answer submitted is worth more than a perfect answer you never finished.

How to actually prepare

You don’t need months. You need a focused plan and realistic reps. Here’s the approach I’d recommend:

1. Confirm what you’re facing. Open your invitation email and note the length (65 or 85 minutes) so you know whether Sustainable Futures Lab is in play.
2. Learn the mechanics of each game. Understand the objective and the scoring logic before you start drilling. Going in blind wastes your first practice runs.
3. Run timed simulations. This is where the real improvement happens. Practice each game under the clock, then review what went wrong before your next attempt. Three thoughtful runs beat ten frantic ones.
4. Debrief every run. After each simulation, write down the single mistake that cost you the most, and fix that one thing next time.

For practice, the most efficient option I’ve found is PSG Cracked’s All-in-One McKinsey Solve package, which bundles simulations and solvers for the current game mix in one place. If you only want realistic timed reps, their Solve simulations bundle covers the same games as practice runs. And if you just want to see what the games feel like before spending anything, start with the free practice demos.

Whatever you use, the principle is the same: make the real assessment feel familiar before test day.

Where Solve fits in the bigger picture

Passing Solve gets you to the next stage. It does not get you the offer by itself. The case interviews and personal-experience interviews still decide that, so it’s worth keeping the whole funnel in view. If you’re early in your prep, it helps to understand how McKinsey and BCG actually differ and build the kind of critical thinking the whole process rewards.

And if you’re staring down the assessment from a non-target school wondering whether it’s even worth it, it is. Plenty of people have broken into McKinsey from a non-target background, and the Solve game is one of the more level parts of the process because it cares about how you think.

Frequently asked questions

Is the McKinsey Solve game hard? It’s challenging mostly because of the time pressure and the unfamiliar format, not because the underlying tasks are advanced. The math is straightforward and no business knowledge is needed. Candidates who practice the actual game environment tend to find it very manageable; those who walk in cold tend to struggle with pacing.

What games are on the McKinsey Solve assessment in 2026? The standard mix is Redrock Study and Sea Wolf on the 65-minute version, plus Sustainable Futures Lab on the 85-minute version. Ecosystem Building has been phased out of the default assessment but can occasionally appear in specific regions or roles.

Do I need to study business or finance for Solve? No. McKinsey states no prior business knowledge or gaming experience is required. The assessment tests reasoning, data handling, and decision-making under time constraints.

How long should I prepare for the McKinsey Solve game? Most candidates do well with one to two weeks of focused practice. The priority is learning each game’s mechanics, then running timed simulations and reviewing your mistakes. Even a few serious practice sessions make a meaningful difference on test day.

Can you fail the McKinsey Solve game? Yes. A weak Solve score can end your candidacy before the interviews, which is exactly why it’s worth preparing. The flip side is that a strong score is very achievable with the right practice.

You can do it!

The McKinsey Solve game looks intimidating from the outside, but it is a structured test of the way good problem-solvers already think. Learn the three current games, practice them under realistic conditions, and keep your head when the timer runs. This is a beatable assessment, and there is no reason you can’t walk in ready.

If you want to sharpen the broader skills behind every stage of consulting recruiting, join my free mini-course on consulting fundamentals. And when you’re ready to practice Solve for real, the All-in-One package is the fastest way to turn nerves into reps.

Go get it. You can do it.