Sea Wolf · McKinsey Solve

The McKinsey Sea Wolf game: complete strategy guide

Updated 2026 · ~10 min read

Overview & objective

In Sea Wolf you're a consultant helping to treat environmental contamination at three sites. For each site you must select 3 microbes whose combined traits fall within the site's requirements. Each microbe has three numeric attributes (you can rename the first one) and one categorical trait. Each site specifies a range for each attribute, a desirable trait, and an undesirable trait.

The Sea Wolf Solver settings panel, where global traits and attribute labels are entered once and shared across all three sites.
Sea Wolf Solver · Settings panel. Traits and attribute labels are entered once and apply to every site, so Sites 2 & 3 skip this step. Open the solver →
Related: This guide covers Sea Wolf in depth. For the parallel ecosystem game, see the Ecosystem guide; for the overall assessment, see McKinsey Solve. Practising both? Our bundle unlocks both solvers.

What the data looks like

A site might look like:

AttributeRange
Attribute 16 – 8
Attribute 27 – 9
Attribute 33 – 5

Plus a desirable trait (e.g. Heat resistance) and an undesirable trait (e.g. Aerobic).

Step 1 — Set Filters

The solver tells you to select the attribute whose range is farthest from the mean (5) and to choose the desirable trait as your filter. This narrows the candidate pool to microbes that are at least promising on the most discriminating dimension.

Step 2 — Species Categorization

You're presented with 10 microbes, one at a time. For each, you decide whether to:

  • Move to Site 1 (the current site),
  • Move to Site 2, or
  • Remove (return) it.

You're also given a Site 2 attribute insight (e.g. "Attribute 1: 2–4") that you enter into the tool.

The scoring rule

For each microbe, count how many of its attributes fall within the site's ranges, plus whether it has the desirable trait. Maximum score is 4 (3 attributes + 1 trait). Rules:

  • Score ≥ 2 matching attributes/traits and no undesirable trait → move to Site 1.
  • Has the undesirable trait (even with multiple matching attributes) → consider for Site 2 or remove.
  • For Site 2: the microbe must have at least one attribute within the Site 2 insight range; otherwise remove it.
  • Otherwise → remove.
Example A (→ Site 1): Attribute 1 = 5, Attribute 2 = 9, Attribute 3 = 5, trait = Heat resistant. Site range is 6–8 / 7–9 / 3–5. Only Attribute 1 is out, but the trait matches → score 3/4 → Site 1.

Example B (→ Site 2): Attribute 1 = 1, Attribute 2 = 10, Attribute 3 = 2, trait = Aerobic (undesirable). Undesirable trait present → consider Site 2. If the Site 2 insight is "Attribute 1: 2–4", this microbe (Attribute 1 = 1) is outside that range → remove. (If it were inside, it would go to Site 2.)

Example C (→ Remove): Attribute 1 = 9, Attribute 2 = 3, Attribute 3 = 1, trait = Phosphorous removal (no match). Score 0/4 → remove.

Step 3 — Prospect Building

You're presented with 3 microbes at a time across 4 selection rounds. From each round you pick one microbe to add to a candidate pool. There are already 6 microbes in the pool from Step 2; you add 4 more for a total of 10. Use the same scoring rule: microbes with the undesirable trait should not be selected; prefer microbes with high match scores.

The Sea Wolf Solver prospects panel showing three candidate microbes per round with the best one auto-selected by trait priority and attribute fit.
Sea Wolf Solver · Prospects panel. The best microbe each round is auto-selected (★) by trait priority then attribute closeness — edit any value and the pick updates instantly. Try it →
Tip: If every microbe in a round is unfit, the solver still picks the best of the bunch (a neutral-trait microbe beats an undesirable-trait one). See McKinsey Solve for how Sea Wolf fits the wider assessment, or compare with the Ecosystem game's selection logic.

Step 4 — Final Selection

Pick 3 microbes from the pool of 10. This is the scored step. The selection is valid if and only if:

  • The average of each attribute across the 3 chosen microbes falls within the site's range for that attribute.
  • The undesirable trait is completely absent from all 3 microbes.
  • The desirable trait is present in at least one of the 3 microbes.
Why averages, not individual values? Because microbes can compensate for each other — a high Attribute 1 in one microbe can offset a low value in another. The final selection is about the combined profile of the trio, not any single microbe.

Repeating for Sites 2 & 3

The whole four-step flow repeats for Site 2 and Site 3. The only change: from Site 2 onwards there's no Site 3 insight in Step 2 — microbes are either selected for the current site or removed.

How you're scored

  • Final selection validity — did the trio satisfy all three constraints?
  • Categorization accuracy — were microbes routed correctly in Step 2?
  • Prospect quality — were good microbes added to the pool in Step 3?
  • Move efficiency — time and decision quality across steps.

Practice with the Sea Wolf Solver

Our solver implements the exact scoring and routing logic across all four steps and three sites. $15 per solve.