How to Choose a Tutor: Stop Asking Questions. Start Verifying Claims.
By Renzo Diaz··10 min read
Verify a tutor's claims with independent evidence — the age of their reviews, what a platform's reviews actually require, and checkable qualifications — before relying on what they say about themselves.
Choosing a tutor is usually presented as an interview. Ask about their qualifications. Ask whether they know your school. Ask whether they teach the IB. Ask how many years of experience they have. Ask whether they have helped students improve their grades. Then the tutor answers, and you are supposed to decide whether you believe them. That is not a very reliable way to evaluate someone you are about to trust with an important part of your child's education.
A claim and evidence for a claim are two different things. As the internet has made it dramatically easier to publish professional-looking information, the ability to tell them apart has become more important, not less.
It helps to begin not with what a tutor claims about themselves, but with what you can check independently.
In this article
- 1. The problem with asking the tutor
- 2. Start with the oldest evidence you can find
- 3. A review is evidence. It is not automatically proof.
- 4. Add a second layer of verification
- 5. The platform matters — and its timing rules matter more than its badge
- 6. Look at how negative feedback is handled, not just how positive feedback is collected
- 7. Review counts can hide important distinctions
- 8. What about Trustpilot?
- 9. Verify qualifications directly
- 10. Knowing the subject and teaching it are not the same skill
- 11. Outcomes matter — be careful with causality
- 12. Build an evidence stack
- 13. A practical checklist
- 14. The bigger picture
1. The problem with asking the tutor
Ask "do you know the IB?" or "are you experienced?" and the answer is fairly predictable. That doesn't make the answer false — it simply means it's a claim made by the person being evaluated, not evidence.
This isn't about assuming tutors are dishonest. It's about recognising that marketing language and independently verifiable evidence are different categories of information, and only one of them should carry weight on its own.
A better process is claim, then independent evidence, then verification, then judgment — not claim, then trust.
2. Start with the oldest evidence you can find
One of the first things worth knowing is: how long has this tutor actually been operating?
Worth noticing: "15+ years of experience" or "established in 2010" are statements made by the business about itself. True or not, they aren't independent evidence.
Look for external signals instead. For an online tutor, the history of their Google Business Profile is a useful starting point. Google's own help documentation confirms that the date shown on a review is its publication date, and that editing a review updates that date to the edit, not the original post. That gives the oldest surviving review a genuine lower-bound signal — not proof of a tutor's full career, since older reviews can disappear and private work before a profile existed leaves no trace, but a documented floor: this is how far back the public record goes, at minimum.
The honest conclusion is "this profile has publicly documented feedback going back to at least this date" — weaker than the tutor's own claim of total experience, but far stronger than simply believing a website footer.
3. A review is evidence. It is not automatically proof.
Reviews are useful, and easy to overinterpret.
Google's contribution policy is explicit that a review should reflect a genuine, unbiased experience with the business, and it prohibits several specific forms of manipulation: paid reviews, reviews posted from multiple accounts at one person's request, and — notably — businesses that discourage or prohibit negative reviews, or selectively solicit positive reviews. Google also states plainly that it uses a mix of human review and machine-learning detection to enforce this, which is itself an admission that violations happen at meaningful scale.
None of that means Google reviews can't be trusted. It means they should be read as evidence within Google's review system, not as an independently audited record of every transaction that occurred.
“Merchants may not discourage or prohibit negative reviews, or selectively solicit positive reviews from customers.”
Google Business Profile / Contribution Policy4. Add a second layer of verification
Suppose a review says: "My daughter was struggling with IB Mathematics, and this tutor helped her achieve an excellent result."
Useful social proof — but what else can you establish? Does the reviewer have a public professional or academic profile? Is the identity consistent with the testimonial? This isn't about investigating someone's private life; it's about checking whether the review sits inside a broader, publicly consistent identity. A named testimonial is stronger evidence than an anonymous one, and a testimonial connected to a genuine, findable profile is stronger still — not proof, but triangulation, which is generally stronger than one isolated claim.
A review can be genuine without being independently verifiable by the person reading it. That's exactly why triangulation, not any single review, is the unit of evidence that matters.
5. The platform matters — and its timing rules matter more than its badge
A review doesn't exist in a vacuum. The system that produced it is itself information.
Two platforms can both host entirely genuine reviews and still mean very different things, because "contacted a tutor," "attended a first session," and "completed months of paid tutoring" are not equivalent events — and platforms differ in which of these actually unlocks a review.
Superprof is a useful, well-documented example, not because its rules are unusual, but because they're unusually easy to check. Its own help centre states that any tutor without "Super Tutor" status is required to offer a free introductory session, and that both tutor and student become eligible to leave a review seven days after a lesson request is accepted — a timer tied to acceptance of the request, not to a completed, paid lesson. In practice, a free first session is enough to generate a review. That doesn't make the review fake. It does mean a review on this kind of platform tells you a student showed up once, not that they became a client.
What exactly triggers a review, and does that trigger require payment or repeat engagement?
6. Look at how negative feedback is handled, not just how positive feedback is collected
Most people evaluating a review system look at how positive reviews are solicited. It's just as informative to look at what happens to negative ones — the two don't always follow the same process.
Superprof's own published policy for students describes what happens when a review is negative: its team contacts the student, then the tutor, and the tutor receives a warning. There isn't a published equivalent process described for positive reviews. That's simply a difference worth knowing about, not evidence that any platform is doing something improper — and it's the kind of detail that isn't visible from a star rating alone.
Checking how a platform handles negative feedback takes about two minutes, and it's a step most parents don't think to take.
For context, Google updated its own policies in April 2026 to prohibit review quotas and pre-written review content, and its enforcement report for 2025 cites more than 292 million policy-violating reviews blocked or removed — a sign of how actively these systems need to be moderated, not a claim about any one platform.
“If your review is negative, our team will contact you [...] the tutor receives a warning.”
Superprof Help Centre — negative review handling7. Review counts can hide important distinctions
Superprof separates two categories that get displayed together on a tutor's public profile: reviews from students after a lesson, and recommendations, which its own tutor guidance invites from former students, friends, family and colleagues — the same request, whether or not the person was ever actually taught by the tutor. A former colleague can tell you something about someone's professionalism. A student can tell you something about the tutoring itself. Those aren't interchangeable, even when they're counted as if they were.
This isn't specific to one platform. The European Commission's 2021 coordinated sweep of 223 major consumer websites — shops, marketplaces, booking sites, comparison services — found that authorities could not confirm review authenticity on 144 of them, that 104 gave consumers no information about how reviews were collected, and that a comparable number gave no information about how fake reviews were prevented. That's a common pattern across the market, not an exception.
The right question is never just "does this tutor have reviews?" It's "what does this platform actually count as a review?"
“Ask former students, friends, family and colleagues to leave you a recommendation.”
Superprof Help Centre — recommendations8. What about Trustpilot?
Third-party platforms add a layer of separation from a business's own website, which is valuable — but the same rule applies: read the methodology, don't just trust the badge.
Trustpilot states that it runs automated fraud-detection screening across every review posted, and that it labels some reviews "Verified" specifically when it can confirm a business interaction took place — implicitly conceding that unverified reviews, while still genuine opinions, don't carry that same confirmation. That's a meaningfully stronger disclosure than most platforms offer. The right takeaway isn't "Trustpilot equals automatically trustworthy" — it's that a platform with a documented, checkable methodology gives you one more layer of evidence you can actually evaluate, rather than one more badge to take on faith.
9. Verify qualifications directly
A tutor teaching IB Mathematics should understand mathematics. A tutor claiming IB expertise should understand the programme's actual assessment structure. But claims about qualifications deserve the same care as claims about experience: can the degree be verified, is the institution real, does the credential match the subject being taught? Note, too, the difference between a completed qualification and one still in progress — "PhD" and "PhD candidate" describe two different things, and a tutor's own materials should be internally consistent about which one applies.
Qualifications answer whether a person is plausibly capable of teaching this material. They don't answer whether that person will teach your child effectively.
10. Knowing the subject and teaching it are not the same skill
A person can be excellent at mathematics and a poor mathematics tutor. The reverse is also true.
The Education Endowment Foundation's evidence review on one-to-one tuition identifies specific implementation factors that separate effective tuition from simply reducing the student-to-teacher ratio: accurately identifying which students need support, understanding the specific learning gaps involved, and, critically, well-planned feedback. That's a far more demanding picture of tutoring than "the tutor knows the subject," and it's also a picture that's hard to fake in a single conversation, but easy to test with the right question: not "do you know IB Mathematics," but "how do you determine whether a student is struggling with the underlying maths, the use of the GDC, exam technique, or how the question is phrased?" A tutor who has actually done this work can answer immediately, with specifics. A tutor reciting a marketing line cannot.
“Well-planned feedback.”
Education Endowment Foundation — One to one tuition11. Outcomes matter — be careful with causality
"I improved my student's grade from 5 to 7" sounds compelling, but consider what it establishes on its own: nothing about whether the tutor caused it, whether the student simply increased their study time, whether their classroom teaching improved, or all of the above at once.
The same distinction applies to a testimonial. A review worded "the tutor took my child from a 4 to a 6" is a causal claim being made in someone else's voice; "my child went from a 4 to a 6 while working with the tutor" is the observable version. Both can be genuine; they don't establish the same thing.
A useful case study gives context: starting point, target, duration, subject and level, and, ideally, how the outcome was measured.
"The student improved from 5 to 7 while working with me" is an observable sequence. "I raised the student's grade from 5 to 7" is a causal claim. The evidence required for those two sentences is not the same.
12. Build an evidence stack
There's no single test for choosing a tutor. Build a stack instead.
The interview hasn't disappeared. It has moved to the correct place in the process — after the research, not before it. Once you know a tutor has real IB experience, the useful question stops being "do you know IB Mathematics?" and becomes "how do you tell the difference between a student who doesn't understand the maths and one who doesn't understand what the question is asking?" That's a question a marketing slogan can't answer.
Call it what it is: an evidence stack — a short, repeatable list of checks, not a single gut-feeling conversation.
Layer 1 — Identity
Can you establish the person exists as a working professional?
Layer 2 — Longevity
Is there independent evidence consistent with their claimed time in the field?
Layer 3 — Qualifications
Can education and subject expertise be checked?
Layer 4 — Reviews
Are there credible reviews from identifiable students?
Layer 5 — Review methodology
Do you know what triggers a review, and how negative feedback is handled?
Layer 6 — Outcomes
Are there meaningful, well-contextualised examples of progress?
Layer 7 — Teaching quality
Can the tutor explain how they diagnose gaps and adapt instruction?
Layer 8 — Fit
Is this tutor actually right for this student?
13. A practical checklist
None of these checks is conclusive alone. Together, they're significantly more reliable than a short conversation and a gut feeling.
| What to check | How to check it | Why it matters |
|---|---|---|
| Oldest review date on Google Business Profile | Open the profile, scroll to the earliest review | System-assigned; can't be backdated by the tutor |
| Reviewer identity, spot-checked | Search a reviewer's name on LinkedIn or similar | Confirms the student is real and the timeline is plausible |
| Platform review trigger | Check whether a review requires a completed, paid lesson or just an accepted request | Not all platforms tie reviews to a real transaction |
| Recommendations vs. reviews | Look for a separate recommendation category and whether it's combined into the headline count | Personal-network recommendations aren't the same evidence as student reviews |
| Negative-review handling | Check the platform's own help documentation for how negative feedback is processed | Reveals whether positive and negative feedback are treated the same way |
| Consistency across pages | Compare years of experience, review counts, and credentials across the tutor's own site | Inconsistencies can be a sign of content written for search engines rather than accuracy |
| Subject-specific fluency | Ask about a specific component — IA structure, AA vs. AI differences, grade boundary mechanics | General subject knowledge isn't the same as programme-specific expertise |
| Evidence of ongoing structure | Look for a system with logged lesson history, not just a claim of experience | Difficult to fabricate; shows active, structured engagement |
| Testimonial dates | Check whether each testimonial carries a platform-assigned date, or just a year typed next to it on the site | A platform date is system-generated and hard to fake; a year typed on a page is not, on its own, evidence of anything |
14. The bigger picture
None of this is unique to tutoring. Unverifiable experience claims, inflated review counts, and content written for search engines rather than accuracy are symptoms of a wider shift: generative tools have made credible-looking content easier to produce than ever, and regulation is still catching up. In the US, the FTC's 2024 rule banning fake and incentivised reviews reflects that shift — it allows for civil penalties of up to $53,088 per violation (adjusted annually under 16 CFR 1.98), though enforcement against smaller, individual actors in a global market remains difficult in practice.
The takeaway isn't cynicism — it's a bit of methodical care. Everything in the checklist above takes under thirty minutes, and while it won't guarantee you find the right tutor, it meaningfully improves the odds of seeing past a well-built website to what's actually there.
In a market where credible-looking content is increasingly easy to produce, the signals that keep their value are the ones that are hard to fake: a dated review from a verifiable student, a multi-year record of activity, and claims that stay consistent wherever you happen to check them.
Sources
A quick note on how to read this list. Sources 1, 2, 3, 9, 10 and 11 below are primary — official policy pages, a regulator's own sweep, and government notices, quoted directly rather than summarised. Sources 4 through 8 document how specific platforms (Trustpilot, Superprof) describe their own review mechanics, again in their own words. Everywhere else in this article that isn't a numbered citation reflects Renzo's own professional experience rather than a claim requiring external citation.