Why Candidates Don't Get Hired
What 16,308 recorded rejection decisions reveal about how hiring really works. More than a quarter of the people turned down did nothing wrong. The timing simply did not work.
- Manila BulletinAug 6, 2026
- BusinessWorldAug 7, 2026
- Philippine Daily InquirerAug 7, 2026
- InsiderPHAug 6, 2026
- Manila BulletinAug 10, 2026
Key findings
- More than a quarter of rejections have nothing to do with the candidate. 27.7% of people were turned down because the role closed or was put on hold. Adding the cases where a client chose someone else, roughly 36% are about circumstances rather than capability.
- A weak CV does not predict weak work. Candidates rejected for insufficient experience and candidates who failed the skills test have almost identical CV ratings, 1.76 against 1.71. On the practical test they diverge sharply: 3.51 against 2.40.
- The highest-scoring group in the dataset is the people who stopped replying. Candidates who withdrew or went quiet hold the strongest CV ratings and the strongest test scores of any group.
- Age predicts nothing. Median age is between 28 and 31 in every rejection category. There is no age group that is rejected more, and none that is rejected for different reasons.
- Failing the practical test is visible before the test is sent. That group differs from every other in English level and CV rating alike.
Why Decisions Go Against Candidates
| Reason | Share of decisions |
|---|---|
| Failed the skills test | 35.9% |
| Role closed or put on hold | 27.7% |
| Not enough relevant experience | 16.8% |
| Client chose someone else | 8.4% |
| Communication or role fit | 7.8% |
| Did not respond or withdrew | 3.3% |
| Other | 0.2% |
The single largest category is a practical skills test, which is what we would expect from a process built around assessment rather than credentials.
The second largest is the one worth pausing on. More than a quarter of everyone turned down was rejected because the role itself closed or was frozen. The client filled it elsewhere, changed their plans, or paused hiring. Nothing about the candidate came into it.
Add the 8.4% where a client chose a different person, and roughly 36% of rejections are about circumstances rather than capability. For a job seeker, that is the most useful number on this page: a rejection is not automatically a verdict on you.
What Separates the Groups
Because every stage is scored, the groups can be compared directly.
| Rejection reason | Fluent or native English | Avg CV rating | Avg test score |
|---|---|---|---|
| Failed the skills test | 53.0% | 1.71 | 2.40 |
| Role closed or put on hold | 64.7% | 2.79 | 2.81 |
| Not enough relevant experience | 64.4% | 1.76 | 3.51 |
| Client chose someone else | 64.3% | 3.41 | 3.64 |
| Communication or role fit | 66.9% | 2.03 | 3.51 |
| Did not respond or withdrew | 63.5% | 3.57 | 3.92 |
CV rating and test score are internal five-point assessments.
The skills test group is different in every measure
53.0% report fluent or native English against 63% to 67% in every other group, and their CV rating is the lowest in the table. Failing the practical assessment is not a surprise outcome. It is visible in the application before the test is ever sent.
Experience and performance are separate things
Candidates rejected for insufficient experience score 1.76 on CV, almost identical to the 1.71 of those who failed the test. But on the practical task they score 3.51 against 2.40. These are people who can do the work and did not have the background on paper. Their CV understated them and the test showed it.
Two candidates with the same rating on paper produce opposite results in practice. That is the clearest evidence in this dataset that a CV should not be treated as a forecast.
“The real challenge for hiring managers isn't that applicants are 'gaming' the system. It's that traditional resumes have lost their signal. When anyone can generate a flawless, keyword-optimized cover letter in seconds, everyone looks exceptional on paper. The resume no longer proves how well someone can do a job, only that they know how to prompt an AI.”
The strongest candidates are the ones who leave
Those who withdrew or stopped responding hold the highest scores in the dataset on both measures, 3.57 on CV and 3.92 on the practical test. The most capable people in an applicant pool are the ones with the most alternatives, and a slow process loses them first.
This is an uncomfortable finding for any employer, including us. It is published because it is what the data shows.
“You can see the gap in the data, but in practice the real filtering is human. People read the test results, recognize who actually understands the task at depth rather than just answering correctly, and decide who moves forward.”
What we looked for and did not find
Age has no relationship to rejection. Median age sits between 28 and 31 across all six categories. There is no group that is rejected more often and no group that is rejected for different reasons. In a market that talks a great deal about age in hiring, this is worth stating plainly on a sample of 16,308.
English explains one outcome, not the others. Between five of the six rejection categories, the share reporting fluent or native English is nearly identical, between 63% and 67%. It only separates in one place: the group that failed the practical test, at 53.0%. English level does not explain why a candidate was rejected, except in that single case.
CV rating does not predict test performance. Across the groups, the relationship between what the CV scored and what the person produced on the practical task is weak enough that the CV should not be treated as a forecast.
We report these because a relationship that turns out not to exist is still a result, and because it shows which questions were asked rather than only which ones produced an answer.
For journalists
How to cite this data
Attribute figures to “VA Masters, Why Candidates Don't Get Hired 2026” and link to this page. Always carry the data period with the figure, for example “27.7% of rejections follow a role closing, January 2025 to September 2026”. Charts and tables may be reproduced with attribution.
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Press room & full dataset
Press coverage & media kit · State of the Filipino VA Industry 2026
Boilerplate
VA Masters is a global recruitment agency founded in 2021 that places rigorously vetted Filipino virtual assistants with businesses across the US, UK, Australia, Canada and Europe. Over 1,000 placements to date.
Company facts
Founded: 2021 · Founder & CEO: Alon Pearl · Placements: 1,000+ · Vetting: 6 stages
Related data from this series
- State of the Filipino Virtual Assistant Industry 2026 — the full picture on the talent pool and the businesses hiring from it.
- What Businesses Actually Outsource in 2026 — work categories, hybrid roles, engagement size and time to fill across 323 roles.
- AI in Virtual Assistant Job Requirements 2026 — where employers write AI into the role, which work requires it, and which tools they name.
- The Software a Virtual Assistant Is Expected to Run — tool requirements and the software stack for each area of work.
- The Twelve-Hour Working Day — where demand comes from and how far it sits from the person doing the work.
- The English Question — what candidates declare about their English and what that declaration predicts.
- The Hiring Channel Nobody Counts — US small business data placed alongside the NFIB hiring survey.
- VA Masters newsroom — press coverage, media kit, and the full index of articles citing our data.
Questions & Answers
Common questions about how rejection decisions actually break down.
What are the most common reasons candidates get rejected?
Across 16,308 recorded decisions between January 2025 and September 2026: failing a practical skills test at 35.9%, the role closing or being put on hold at 27.7%, insufficient relevant experience at 16.8%, a client choosing someone else at 8.4%, communication or role fit at 7.8%, and candidates who did not respond or withdrew at 3.3%.
Does a rejection mean you were not good enough?
Often not. 27.7% of candidates were turned down because the role closed or was frozen, which has nothing to do with the person. Adding the cases where a client simply chose someone else, roughly 36% of rejections are about circumstances rather than capability.
Does a strong CV predict good work?
Not reliably. Candidates rejected for insufficient experience and candidates who failed the practical test have almost identical CV ratings, 1.76 against 1.71 on a five-point scale. On the practical task they diverge sharply, 3.51 against 2.40. The same document produced opposite results.
Does age affect your chances of being hired?
Not in this data. Median age sits between 28 and 31 across all six rejection categories. There is no age group that is rejected more often and none that is rejected for different reasons, on a sample of 16,308 decisions.
Does English level affect why candidates are rejected?
Only in one place. Five of the six rejection categories sit between 63% and 67% fluent or native English. The exception is the group that failed the practical test, at 53.0%. English level does not explain why a candidate was rejected, except in that single case.
Who are the strongest candidates in an applicant pool?
In this data, the ones who leave. Candidates who withdrew or stopped responding hold the highest CV ratings and the highest practical test scores of any group, at 3.57 and 3.92. The most capable people have the most alternatives, and a slow process loses them first.
What is this analysis based on?
16,308 applications carrying a recorded rejection reason, from the VA Masters applicants database exported 2 September 2026, covering applications received between January 2025 and September 2026. The source field contains twenty-six values which were consolidated into six groups.
Can I cite these figures?
Yes. Attribute figures to “VA Masters, Why Candidates Don't Get Hired 2026”, link back to this page, and carry the data period with the figure. For additional cuts or an interview, contact [email protected].
Methodology & Definitions
Source
The VA Masters applicants database, exported 2 September 2026. This report covers the 16,308 applications that carry a recorded rejection reason, received between January 2025 and September 2026.
What the sample is
These are applications where a rejection decision was recorded against a defined reason. The remainder of the database consists of applications at other stages of the process, including those still active, those placed, and those without a recorded decision. This report describes the recorded decisions and does not draw conclusions about the rest.
Period
This report covers a longer window than our companion reports on role requirements, which run from February 2026. Rejection reasons are recorded consistently across the full period, so the longer window is used here. Any figure from this report should be quoted with its own period rather than assumed to match the others.
Grouping
The source field contains twenty-six values, many of which describe the same underlying situation in different words. They were consolidated into six groups. For example, “position filled”, “position on hold” and “good candidate but position is filled” are reported together as “role closed or put on hold”, because all three describe a role that stopped rather than a judgment about the person.
Excluded categories
A small number of recorded reasons, 564 in total, describe circumstances that we do not consider appropriate to report as a category of hiring outcome. They are excluded from the figures rather than grouped, and represent 3.3% of the decisions in the source data.
Scoring fields
CV rating and test score are internal five-point assessments. Not every rejected candidate has both, since a candidate rejected before the test stage has no test score. Averages are calculated over the candidates in each group who have the relevant score. English level is self-reported by candidates at the point of application.
Exclusions
Candidate names, individual applications, any pay or rate expectation data, and absolute placement counts.
About this data
This report describes what passes through VA Masters, not offshore recruitment as a whole. Every dataset of this kind reflects the business that produced it. Our screening process is built around a practical skills test tailored to each client's role, so a rejection breakdown from a process built differently would look different. The share failing a skills test is high here partly because we run one.
We think the sample still says something real. 16,308 recorded decisions across twenty months is a substantial base, and the patterns are stable rather than driven by a short period or a single role type. But a reader should treat it as a detailed view of one large pipeline, not a measurement of the industry. Where a finding is unusually specific to our process, we say so in the section itself rather than leaving it to this note.
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