What score do you need to pass McKinsey Solve?
The short version
- There is no passing score. McKinsey publishes no cutoff, and any site quoting you a specific number is guessing.
- Results are reported as a decile rank against your own candidate pool, so the bar moves with the strength of the cohort you were assessed alongside.
- Reported pass rates cluster around 20 to 30 percent, meaning most people who sit Solve do not advance.
- The threshold is widely reported as tougher at high-volume offices such as New York and London than at smaller ones.
- Your result is read next to the rest of your application, which is McKinsey's own stated position, so a strong profile and a mid-range decile can still advance.
- The useful target is not a number. It is finishing every module with a clean, well-paced process.
This is the most common question candidates ask before sitting Solve, and it has an unsatisfying answer: there is no score to hit. Not a percentage, not a number of correct answers, not a threshold McKinsey will confirm. Understanding why is more useful than the fake precision most sites offer, because it changes what you should actually optimize for.
Solve is ranked, not marked
Your product and process results are combined into a single figure, and that figure is then positioned against everyone else in your applicant pool. The output is commonly described as a decile rank.[1] Scores are benchmarked within the candidate pool rather than against a fixed cutoff.[2]
That single design choice explains most of the confusion online. A ranked assessment has no stable passing mark by definition. The same performance can clear in a weaker cohort and miss in a stronger one, which is why candidates comparing notes about what they answered correctly often reach contradictory conclusions.
Where the bar sits, as best anyone can tell
McKinsey does not publish cutoffs, so everything below is inference from candidate reports and coaching data rather than firm disclosure. Treat it as a range, not a target.
Reported pass rates for Solve cluster around 20 to 30 percent, which means roughly 70 to 80 percent of candidates are eliminated at this stage.[3] Some estimates put it nearer 20 percent, or about one in five.[4] Working backwards from that, the commonly cited rule of thumb is that landing around the 80th percentile, meaning the top fifth of your cohort, is usually enough.[5]
The boundary is not uniform. The effective threshold is reported to be tougher at competitive, high-volume offices such as New York and London than at smaller markets.[3] Applying to a large office means being ranked against a deeper field for the same number of interview slots.
How Solve compares to the test it replaced
Useful context for anyone reading older advice: the old Problem Solving Test is generally described as having had a pass rate around 30 percent, against roughly 20 percent for Solve.[4] The screen got harder, not easier, and prep material written for the PST is aimed at a different assessment.
Why a decile is not the whole decision
Solve is one input into a review, not a gate that opens on its own. McKinsey states on its assessment page that your performance is considered together with the rest of your application and any other assessments you take.[6]
In practice, that means the same decile produces different outcomes for different candidates. A mid-range result attached to a strong resume, relevant experience or a referral can still advance, while a better result attached to a thinner profile may not.[1] Coaching write-ups routinely describe candidates at the eighth decile going both ways depending on the rest of the file.
The practical read: if your profile is unusual for the office you are applying to, assume you need to be comfortably inside the pass zone rather than on its edge.
Does everyone even take it?
Mostly, but this is genuinely contested and worth checking against your own invitation rather than a blog. Most accounts describe Solve as near-universal across undergraduate Business Analyst, MBA Associate, advanced professional degree and experienced hire routes, with exceptions limited to very senior hires or offices piloting different processes.[7] Some experienced-hire coverage notes that certain US offices have begun waiving the assessment for senior candidates.[8] At least one long-running recruiting guide goes further and states that many US offices have phased out the requirement.[9]
These accounts do not agree, and none of them is McKinsey. Your invitation email is the only authority on whether you are sitting it and which format you will get.
You will not be told your score
McKinsey does not release score reports, percentiles or feedback by default. You receive a pass or fail notification, typically one to two weeks after you finish.[10] A pass means your combined product and process result met the threshold for your pool.
One detail that rarely surfaces: some candidates have reportedly been able to request their decile or raw score from recruiting, but only by asking proactively.[10] It is not offered, it is not guaranteed, and it is worth asking politely rather than assuming. If you are rejected and considering reapplying, knowing whether you missed narrowly or badly is genuinely useful, and the standard wait before reapplying is commonly cited as twelve months or longer.[10][11]
So what should you actually aim for?
Since you cannot target a number, target the behaviors that move a ranked score. All of these are things you control on the day.
The one rule that matters most
Finish every module. An unanswered item is a guaranteed zero on the product side, and the pacing failure that caused it is itself a negative signal on the process side. A rushed estimate outranks a blank field every time.
- Budget minutes per task before you start, and abandon anything that overruns, even unfinished.
- Orient before acting. A short read of the objective and constraints is recorded as deliberate behavior, not wasted time.
- Commit to decisions. Revising on new information is fine. Churning without it is logged.
- Get the arithmetic automatic. Percentage change, weighted averages and growth rates should not cost you thinking time.
- Remove interface novelty. Meeting an unfamiliar layout under a hard clock is the most avoidable way to lose rank.
None of this is a hack. In a ranked assessment where most candidates are capable, the margin usually comes from the people who did not waste minutes learning the interface while the clock ran.
Frequently asked questions
What is a passing score on McKinsey Solve?
There is no published passing score. Results are ranked in deciles against your own candidate pool rather than measured against a fixed cutoff, so the effective bar changes with each cohort and office.
What percentile do you need to pass McKinsey Solve?
Working back from reported pass rates of roughly 20 to 30 percent, landing in about the top fifth of your cohort is commonly described as enough. This is an inference from candidate reports, not a figure McKinsey confirms.
What is the McKinsey Solve pass rate?
Estimates cluster around 20 to 30 percent, meaning roughly 70 to 80 percent of candidates who sit it do not advance to interviews. The old Problem Solving Test it replaced is generally described as having been less selective.
Is the pass mark harder at some offices?
Reportedly yes. High-volume offices such as New York and London are described as having tougher effective thresholds, because a ranked assessment means competing against a deeper local field for the same interview slots.
Can I find out my McKinsey Solve score?
Not by default. McKinsey sends a pass or fail notification, usually within one to two weeks, with no breakdown. Some candidates report being able to request their decile from recruiting, but only if they ask proactively.
Can a strong resume make up for a weaker Solve score?
Sometimes. McKinsey states that Solve is considered alongside the rest of your application, so a mid-range decile with a strong profile can still advance while a better decile with a thinner one may not. See how the scoring itself works.
Sources
- PSG Secrets, "McKinsey Solve Score: Understanding the PSG Results and Pass Rate," April 29, 2026. Decile ranking and evaluation alongside the full application.
- CaseStar, "McKinsey Solve Assessment: 2026 Guide," June 10, 2026. Benchmarking within the candidate pool rather than a fixed cutoff.
- Hacking the Case Interview, "McKinsey Solve: The Complete Guide," June 11, 2026. Pass rate range, absence of published cutoffs, and office variation.
- Hacking the Case Interview, "McKinsey Acceptance Rate," March 24, 2026. Solve pass rate estimate and comparison with the former Problem Solving Test.
- PSG Cracked, "McKinsey Solve Score: What's Good Enough to Pass?," May 19, 2026. Decile scoring and the reported 80th percentile rule of thumb.
- McKinsey & Company, "Solve, McKinsey's assessment game," official assessment page, accessed August 2026. Performance considered alongside the rest of the application.
- case-prep.com, "The Complete Guide to McKinsey Solve," updated 2026. Candidate routes required to sit the assessment.
- Hacking the Case Interview, "McKinsey Experienced Hires," March 20, 2026. Reported waivers for senior candidates at some US offices.
- Management Consulted, "McKinsey Recruiting: Process, Timeline, Events and Resources," June 2, 2025. Claim that many US offices have phased out the requirement.
- Prepmatter, "McKinsey Solve Walkthrough," December 23, 2025. Notification timing, absence of score reports, requesting a decile, and reapplication wait.
- StrategyCase, "McKinsey Solve 2026: How to Pass on Your First Try," June 26, 2026. One attempt per application and reapplication period.
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