The McKinsey PST is a 60-minute, 26-question written test with a pass rate of roughly 30–35%. Six distinct question types appear in predictable proportions — Reading Facts alone accounts for 38% of all questions. A targeted practice strategy that prioritizes high-weight question types yields better results than generic test prep.
The McKinsey Problem Solving Test screens out roughly two-thirds of candidates before case interviews begin. With 26 questions in 60 minutes and a pass rate hovering around 30–35%, your question-type strategy matters more than raw intelligence. Based on our analysis of candidate experiences across multiple recruiting cycles, here is a question-by-question breakdown of what the PST tests and how to beat it.
Where the PST Fits in McKinsey’s Process
The PST sits between resume screening and first-round case interviews. Some McKinsey offices have transitioned to the gamified Solve assessment, but the written PST remains active in several regions — particularly in parts of Asia, the Middle East, and select European offices. Both assessments evaluate the same five cognitive skills: critical thinking, decision-making, metacognition, situational awareness, and systems thinking.
flowchart LR
A[Resume Screen] --> B[PST / Solve]
B --> C{Pass?}
C -->|~30-35%| D[Case Interview Round 1]
C -->|~65-70%| E[Rejected]
D --> F[Case Interview Round 2]
F --> G[Final Decision]
Even if your target office uses Solve, PST preparation builds foundational skills — data interpretation, mental math, and structured reasoning — that directly transfer to case interviews.
PST Format and Scoring
The test presents three business scenarios, each accompanied by data exhibits (charts, tables, text passages). All 26 questions are multiple-choice with five answer options. There is no penalty for guessing.
| Parameter | Detail |
|---|---|
| Duration | 60 minutes |
| Questions | 26 multiple-choice |
| Scenarios | 3 business cases with data exhibits |
| Passing threshold | Approximately 70% correct (~18 of 26) |
| Pass rate | 30–35% of test takers |
| Calculator | Not permitted |
| Penalty for wrong answers | None |
The passing threshold varies slightly by office and recruiting cycle. In our experience coaching candidates, scoring 20+ correct answers provides a comfortable margin.
The Six Question Types
Not all PST questions are created equal. Understanding the distribution lets you allocate preparation time where it delivers the highest return.
| Question Type | Share of Test | Difficulty | What It Tests |
|---|---|---|---|
| Reading Facts | ~38% | Low–Medium | Extract specific data from exhibits |
| Fact-based Conclusion | ~14% | High | Determine if a conclusion is proven by data |
| Root-cause Reasoning | ~13% | Medium | Identify why a trend or outcome occurred |
| Word Problems | ~12% | Medium | Translate text into calculations |
| Client Interpretation | ~8% | Medium | Recommend actions based on data |
| Formulae | ~5% | Low | Apply given formulas to compute answers |
| Mixed/Other | ~10% | Varies | Combination or edge-case questions |
Reading Facts (38% of questions)
These are the most frequent and most accessible questions on the PST. You receive a chart, table, or text passage and must locate a specific data point or compare values. The challenge is speed, not complexity.
Strategy: Read the question before the exhibit. Know exactly what you are looking for — a specific year, a comparison between two segments, a percentage — then scan the data targeted. Candidates who read the full exhibit first waste 30–60 seconds per question.
Fact-based Conclusion (14%)
The hardest question type. You must determine whether a stated conclusion is definitively supported by the data — not whether it seems reasonable or likely. Many candidates confuse “plausible” with “proven.”
Strategy: Treat these like logic puzzles. The correct answer must be necessarily true given the data. If a conclusion requires any assumption beyond what the exhibit shows, it is not proven. Look for answer choices that use absolute language (“always,” “never,” “all”) — these are usually wrong unless the data explicitly confirms them.
Root-cause Reasoning (13%)
You analyze why a metric changed — revenue declined, market share shifted, costs increased — and identify the most likely driver from the data.
Strategy: Break the metric into components before looking at the answers. If profit declined, check revenue and costs separately. If revenue declined, check price and volume. This mirrors the profitability framework used in case interviews and ensures you evaluate all possible drivers systematically.
Word Problems (12%)
Business math problems presented in paragraph form. You extract numbers from text, set up a calculation, and solve — all without a calculator.
Strategy: Write down every number as you read. Convert percentages to decimals immediately. Look for shortcuts: rounding to friendly numbers (e.g., 198 → 200), cancelling common factors, or estimating before computing exactly. Drill these techniques with our mental math guide.
Client Interpretation (8%)
You recommend what the client should do based on the data presented. These test your ability to connect analysis to action — the same skill evaluated in case interview recommendations.
Strategy: Eliminate options that contradict the data before evaluating which remaining option is best supported. The correct answer is always grounded in the exhibit, not in general business knowledge.
Formulae (5%)
The simplest type. A formula is provided, and you plug in values to compute the answer.
Strategy: Copy the formula onto scratch paper, substitute values carefully, and double-check unit consistency (monthly vs. annual, per-unit vs. total). These are free points — do not rush and make careless errors.
Time Allocation Strategy
With 26 questions in 60 minutes, you have approximately 2 minutes and 18 seconds per question. But not all questions deserve equal time.
flowchart TD
A[Start Question] --> B{Question Type?}
B -->|Reading Facts / Formulae| C[Target: 1.5 min]
B -->|Word Problem / Root-cause| D[Target: 2.5 min]
B -->|Fact-based Conclusion / Client Interp| E[Target: 3 min]
C --> F{Confident?}
D --> F
E --> F
F -->|Yes| G[Mark & Move On]
F -->|No| H[Flag & Skip]
H --> I[Return After First Pass]
First pass (40 minutes): Answer every question you can solve confidently. Skip anything that stalls you beyond 3 minutes.
Second pass (15 minutes): Return to flagged questions with fresh eyes. Often the data from other scenarios provides context that helps.
Final sweep (5 minutes): Guess on anything unanswered. With five options and no penalty, random guessing adds expected value.
In our experience, candidates who complete two passes score 15–20% higher than those who get stuck on difficult early questions and run out of time.
A 10-Day PST Preparation Plan
| Days | Focus Area | Daily Practice |
|---|---|---|
| 1–2 | Diagnostic & format | Take one full-length practice test. Identify weakest question types. Review all six types. |
| 3–4 | Reading Facts + Formulae | 20 practice questions daily. Focus on speed: target under 90 seconds per question. |
| 5–6 | Word Problems + Root-cause | 15 questions daily. Write down all numbers before computing. Practice estimation techniques. |
| 7–8 | Fact-based Conclusion + Client Interp | 15 questions daily. Practice distinguishing “proven” from “plausible.” |
| 9 | Full simulation | Take a timed 60-minute practice test. Review every mistake. |
| 10 | Light review + rest | Review error patterns. Rest before test day. |
Supplement daily question practice with 10 minutes of mental math drills — percentage calculations, division shortcuts, and compound growth estimates.
PST Skills Transfer to Case Interviews
Every PST question type maps to a skill you will use in McKinsey case interviews:
| PST Skill | Case Interview Application |
|---|---|
| Data extraction (Reading Facts) | Interpreting exhibits in interviewer-led cases |
| Logical proof (Fact-based Conclusion) | Supporting recommendations with evidence |
| Root-cause analysis | Structuring profitability and operations cases |
| Mental math (Word Problems) | Quick calculations during market sizing |
| Action recommendation (Client Interp) | Delivering the final recommendation |
Candidates who treat PST preparation as the first phase of case prep — rather than an isolated hurdle — consistently perform better in subsequent interview rounds.
Test Day Checklist
- Arrive 15 minutes early with multiple pens and scratch paper
- Read each question stem before examining the data exhibit
- Write down key numbers rather than holding them in memory
- Skip questions that stall you — flag and return in the second pass
- Guess on any unanswered question before time expires (no penalty)
- Watch for unit mismatches: monthly vs. annual, per-unit vs. aggregate
- On Fact-based Conclusion questions, demand proof from the data, not plausibility
Key Takeaways
- The PST pass rate is roughly 30–35%, with a threshold around 70% correct (~18 of 26)
- Reading Facts questions account for 38% of the test — mastering chart interpretation delivers the highest ROI
- Fact-based Conclusion is the hardest type; distinguish what is proven from what is merely plausible
- Use a two-pass strategy: answer confident questions first, then return to flagged items
- Mental math fluency is non-negotiable — practice daily with percentage, division, and estimation drills
- PST skills transfer directly to case interviews, making this preparation doubly valuable
Start Practicing Now
Build your data interpretation and analytical skills with McKinsey-style cases from our case library. For question types that involve structured reasoning, practice hypothesis-driven problem solving to strengthen the logic muscles the PST targets. When you are ready for full interview simulation, try our AI Mock Interview to practice under realistic pressure.