Two focused solvers for the trickiest McKinsey Solve games. The Ecosystem Solver finds the optimal starting location, locks in the highest-calorie producer set, and derives the optimum 8-species food chain. The Sea Wolf Solver walks you through microbe selection across three contamination sites — set filters, categorize, build prospects, and pick the final three. One fair price per solve.
Each McKinsey Solve game rewards a structured, repeatable method. Our solvers implement the exact selection logic you'd do by hand — instantly and reproducibly — so you arrive at the optimal answer every time.
Drop in the producer species from your case: name, calories provided, min/max depth, and min/max temperature. The solver groups them by environment and finds the cell with the highest total calorie yield.
Your locked-in producers are pre-filled (calories required = 0). Add the remaining species with their calories provided and required, then tick which species eat which. A clear matrix, no spreadsheet gymnastics.
The solver sorts species by calories provided and greedily builds the longest viable 8-species chain, choosing the best prey for each predator and tracking remaining calories as it goes.
No fragile macros, no hidden columns, no risk of breaking the case workbook. Just clean interfaces that run the exact selection logic you'd do by hand — instantly and reproducibly — for both the Ecosystem and Sea Wolf tasks.
Groups producers by environmental cell and picks the highest-calorie set, then sorts it for you.
Sorts species by calories provided and greedily chains predators to the best viable prey, accounting for calories consumed.
Filters microbes by aerobic/anaerobic, temperature, and pH traits, scores prospects, and picks the optimal three per site.
Tweak inputs and re-solve as many times as you like within your paid solve window.
| Species | Cal. provided | Cal. required | Eats |
|---|---|---|---|
| Algae | 320 | 0 | producer |
| Kelp | 280 | 0 | producer |
| Shrimp | 140 | 90 | Algae |
| Cod | 220 | 150 | Shrimp |
| Seal | 400 | 260 | Cod |
Real screenshots of both tools working through sample cases. Every step runs entirely in your browser — no data leaves your machine.
The solver groups every producer by identical depth & temperature ranges, finds the cell with the highest total calories, and lists the winning set in descending order. Stats above show the calorie sum and the environmental window.
Species are sorted by calories provided and chained predator-to-prey, subtracting calories required at each step. The result: the longest viable chain (up to 8 species) with total calories and producers placed automatically.
Set your traits and attribute labels once. The Sea Wolf Solver applies them to every site, so you only enter the case's key once — Sites 2 & 3 skip straight to filters.
Each round, the solver ranks the three candidate microbes by trait priority and attribute fit, then auto-selects the best one (★). Edit any attribute and the ranking re-evaluates instantly — no manual clicking.
Screenshots show sample data. Your inputs stay in your browser — nothing is uploaded.
Real reviews from buyers who used the solvers to prepare for the McKinsey Solve and Redrock assessments.
I'd already failed the Ecosystem game once before my MBA by guessing the producers. Ran the solver on my second attempt... it flagged something I was completely missing and the food chain came out to 8 species and complete/sustainable. Got the email inviting me back the week after.
The Sea Wolf solver saved me on Site 2 — I kept picking the wrong microbe because I wasn't weighting the trait priority correctly. Seeing the prospect ranking update as I typed made it obvious which one was actually best. Worth the $20 on its own.
Honestly skeptical at first — thought it'd be some vague "framework." It's not. The producer-selection logic is genuinely how the game works. Took me about 4 minutes to punch in the table and get the optimal set back. Docked one star only because I had to read the guide first.
Bought the bundle the night before my assessment. Didn't expect much for Sea Wolf but the categorization step clicked once I saw it laid out. Finished both games with time to spare — normally I'm the one rushing the last screen.
I'm not from a business background so the food-chain calorie math was doing my head in. Plug in the matrix, mark who eats who, and the chain just appears. The bit where it subtracts calories-required at each link is the part I kept getting wrong by hand.
Used it purely for practice since I had a mock coming up. The output matches what the real game wants — longest viable chain, producers placed, calories positive at every level. My only gripe is I wish you could save a session and come back, but for $15 I get why it's single-use.
Reviews reflect individual experiences. The solvers are preparation tools and are not affiliated with McKinsey & Company.
Pay-per-use means you only pay when you actually need to solve a case. No subscriptions, no recurring billing, no surprises. Bundle both solvers and save $10.
Single-use access to the Ecosystem Solver.
Runs in your browser · data never leaves your device
Single-use access to the Sea Wolf Solver.
Runs in your browser · data never leaves your device
One solve of each solver — save $10.
Best value · $10 cheaper than buying separately
No. Ecosystem Solver is an independent study aid for the McKinsey Solve ecosystem task. It is not endorsed by or affiliated with McKinsey & Company.
After checkout you receive a single-use access token. The token unlocks the solver for one solve session — re-run as many times as you like within that session, but each token is consumed once the chain is solved.
No. The entire solver runs client-side. Your producer and species data is never sent to a server.
Access lasts for a single solve session. After payment you receive a token that unlocks the solver — re-run as many times as you like within that session. The token is consumed once you complete a solve, so each purchase is one full solve. There's no time limit on how long the session stays open before you solve.