Original interactive practice
McKinsey Solve practice
Work through data-study decisions and constraint-based team selection, with a journal, calculator and a saved worked review. Start with a focused drill or combine both modules under time pressure.
How this practice works
- A separate untimed briefing appears before each module. The timer begins only when you explicitly start that module.
- Answers and drafts record immediately. Completing a stage locks it. Teams count only after you select Submit team.
- Timed clocks keep running during tool use, in background tabs and after reloads. Refreshing never resets a clock.
- Each new sitting varies the original data and candidate values. Full worked feedback appears after you finish.
Our 35 + 30 minute allocation is an editorial practice format. These two modules cover Redrock-style analysis and SeaWolf-style constraints; they do not cover every Solve task. Sustainable Futures Lab and the legacy ecosystem game are not included.
Data study · Free worked example
Read the study brief and exhibits. Record useful facts in the journal and use the calculator to check your working. Both tools stay available throughout the module.
Type numerical answers in the unit shown beside each input. For a percentage, enter 25 for 25%, not 0.25. Round only the final answer to the requested number of decimal places. Answers are compared at that precision; exact halves round away from zero. Choices record as soon as you select them.
You may revisit questions within the current stage. Moving from the study to the mini-cases locks the study answers; you cannot return. Each mini-case has its own source exhibits. Feedback appears after the sitting ends.
Worked example
A survey counted 80 animals and later counted 100. Percentage increase = (100 − 80) ÷ 80 × 100 = 25%. For an answer in percent to one decimal place, enter 25.0. The later count is not the denominator.
Constraint teams · Free worked example
For each site, read its three numerical ranges, desired trait and forbidden trait. Screen nine candidates into a shortlist of six, then lock the shortlist and draft a team of three.
Each numerical range applies to the team average, including both endpoints. At least one member must have the desired trait; no member may have the forbidden trait. Averages alone are not enough.
Among teams meeting all five constraints, aim for the closest numerical match to the listed targets. The objective adds the absolute distance between each attribute’s team total and three times its target. Lower is better. A tied best team is equally valid.
Your shortlist cannot change once drafting starts. Excluding the wrong candidates can leave no team that meets every constraint. Selecting three cards records a draft; choose Submit team to submit it and continue. Feedback appears at the end. Our nine → six → three workflow is an original practice exercise.
Worked example
For a range of 4–6, candidates with values 3, 5 and 7 have an average of 5, so that range is met. If one has the forbidden trait, the team still fails that separate check. Check all attributes and traits together.
Check access before you begin
Sign in to check your practice access. The worked examples here and every saved review are free.
A Solve pass covers this product’s three modes. It does not unlock other assessment categories.
Independent practice, not affiliated with McKinsey. McKinsey says no preparation is required. Your invitation sets the actual assessment’s instructions and duration; use these practice tools only here, never during a real assessment.