What is the Sea Wolf game in McKinsey Solve?

Sea Wolf asks candidates to select and evaluate microbes to clean contamination, a description McKinsey uses publicly on its own innovation blog. Candidate reports describe roughly 30 minutes across multiple ocean sites, choosing a small group of microbes per site whose combined attributes and traits satisfy that site's constraints. Timing, site count, and specifics vary by cycle.

Is this the real Sea Wolf game?

No. The site, the eight microbes, their attributes, and all coaching are original Road to Offer content. McKinsey prohibits recording the live assessment, so no legitimate resource can offer a replica. This simulation practices the reasoning the game rewards, not its content.

Do I need to know biology?

No. Every attribute and trait you need is on screen. The task is constraint satisfaction, and the biology is set dressing, which is exactly what candidate reports of the live game describe.

Does it work on a phone?

Yes. Alongside pointer dragging, every card has a move button for touch and full keyboard support, and all three paths score identically.

What should I practice next?

Structuring drills. The filter-then-optimize sequence Sea Wolf rewards is the same discipline that keeps case structures tight, and drills grade every attempt.

McKinsey Sea Wolf Practice Simulation

Free practice simulation

Clean a contaminated site free: read the site card, assign eight microbes to Site 1 or Reject, then find the only three-microbe treatment that clears every constraint.

Clean the Kestrel Shelf spill

A fuel spill has contaminated a cold-water shelf. Eight candidate microbes are available. Check three tolerated ranges and one disqualifying trait, assign each microbe to Site 1 or Reject, then choose the three-microbe treatment that meets every average.

Assign each of the eight microbes to Site 1 or Reject
Select three microbes for the final treatment
Attribute ranges are inclusive, so an exact minimum still qualifies

8 microbes + one treatment trio · the 7-minute advisory timer starts after the walkthrough

McKinsey publicly describes Sea Wolf as selecting and evaluating microbes to clean contamination. Site count, species, attribute names, and time limits in the live assessment differ from this practice version and change between cycles.

Road to Offer is independent and not affiliated with or endorsed by McKinsey. This is original practice content built from publicly available information about the assessment format, not a copy of the live assessment. Formats change between offices and recruiting cycles.

The quick version: Sea Wolf is the McKinsey Solve module where you select and evaluate microbes to clean contamination. McKinsey's own innovation blog describes it in those terms. Site count, species, attribute names, and timing in the live game differ from this practice version and change between cycles.

Sea Wolf is constraint-solving wearing a biology costume

Nothing in Sea Wolf requires knowing anything about marine microbiology. What it requires is the discipline to separate hard eliminations from optimization, and to do it in the right order. Candidates who start by hunting for the best-performing microbes lose time and usually end up with a set that violates a disqualifying rule. Candidates who filter first work with a smaller set and a clearer objective. That two-stage habit, eliminate on the binding constraints then optimize on the scored ones, is the same one that makes a candidate fast on case interview screening questions.

How the simulation works

You get one site with three tolerated attribute ranges and one disqualifying trait, plus eight candidate microbes. Assign every microbe to Site 1 or Reject by dragging its card or using the keyboard-accessible action buttons. Then select exactly three from your Site 1 pool for the final treatment. Scoring counts every microbe you assigned correctly plus every average your treatment satisfies, so a strong filter still earns credit even if the final trio is wrong. An advisory seven-minute countdown runs throughout without ever locking you out.

View worked examples →

3 worked

The three patterns Sea Wolf keeps testing

Work through each before reading the approach.

Example 1
The highest-scoring organism in the set violates one site rule outright. How much time should you spend on it?
Approach
None. Disqualifying rules are binary and apply before any attribute comparison. Strong numbers on a disqualified option are a deliberate distraction.
Answer
Eliminate it immediately and never revisit it.
Example 2
Your treatment must average at least 8 on an attribute across three picks. Two candidates score 9 and 8. What does the third need?
Approach
Work backwards from the total. Three picks averaging 8 need 24 in total, so 9 plus 8 leaves exactly 7 as the minimum for the third slot.
Answer
At least 7. Anything lower fails the constraint however good it looks elsewhere.
Example 3
Two constraints conflict: one favours high growth, the other caps a related trait.
Approach
Constraints are not preferences to balance. Find the intersection of options satisfying all of them; if the intersection is a single set, that is the answer regardless of which one you would have preferred.
Answer
Solve for the intersection, not the compromise.

View common mistakes →

4 pitfalls

Four ways candidates lose the Sea Wolf clock

Optimizing before filtering
Apply every disqualifying trait first. It shrinks the candidate set fast and removes the decoys designed to absorb your time.
Averaging by eye
Averages are where the puzzle actually bites. Sum the picks and compare to the threshold multiplied by the pick count. It is faster than it sounds and it is exact.
Assuming the strongest individual makes the strongest set
Constraints are evaluated on the group, not the members. A set of three solid performers routinely beats one star plus two liabilities.
Reading the site characteristics once and moving on
The characteristics are the rule set. Re-read them after you build a candidate trio and check each one explicitly before submitting.

McKinsey Sea Wolf questions

What is the Sea Wolf game in McKinsey Solve?
Sea Wolf asks candidates to select and evaluate microbes to clean contamination, a description McKinsey uses publicly on its own innovation blog. Candidate reports describe roughly 30 minutes across multiple ocean sites, choosing a small group of microbes per site whose combined attributes and traits satisfy that site's constraints. Timing, site count, and specifics vary by cycle.
Is this the real Sea Wolf game?
No. The site, the eight microbes, their attributes, and all coaching are original Road to Offer content. McKinsey prohibits recording the live assessment, so no legitimate resource can offer a replica. This simulation practices the reasoning the game rewards, not its content.
Do I need to know biology?
No. Every attribute and trait you need is on screen. The task is constraint satisfaction, and the biology is set dressing, which is exactly what candidate reports of the live game describe.
Does it work on a phone?
Yes. Alongside pointer dragging, every card has a move button for touch and full keyboard support, and all three paths score identically.
What should I practice next?
Structuring drills. The filter-then-optimize sequence Sea Wolf rewards is the same discipline that keeps case structures tight, and drills grade every attempt.

Same discipline, applied to full cases

Structuring drills grade how cleanly you separate constraints from preferences. A free account opens them.

Create a free accountFree account. The demo above needs no signup.