ADPList: Pros and Cons

The biggest pro: a free call with a vetted mentor

A free booking costs nothing and needs no application, so the first call is the cheapest way to test whether ADPList fits you. Mentors need five years of experience and a manual review. A founder interview puts the pass rate near 30%, so the people you can book have passed a real filter. ^{[1] [3] [15]}

The filter has limits. ADPList’s own guide says vetting is “a filter, not a guarantee,” and that quality varies. Read the mentor’s reviews before you book, because the platform’s rating can’t tell you about your mentor. ^[4]

The biggest con: a paid session has no published refund

You pay for a session, and if it goes wrong ADPList’s published rules don’t say you get the money back. The Terms, the FAQ and the guide are silent on refunds, and the guide tells readers to check before they pay. A missed session gets an email to the help address and no described refund or credit. ^{[5] [4] [7]}

This is the con that changes your decision most. The pricing page sets out what is and isn’t published. If you need a paid call, ask the mentor in writing what happens if they can’t make it, and keep the answer.

Mentees: choosing and no-shows

Choosing a mentor is harder than the rating suggests. The reviews cluster on a few profiles, and the positive reviews repeat the same three themes. Use the mentor’s own reviews and their dates, not the homepage score. The review breakdown shows why. ^{[1] [17]}

No-shows follow a fixed route. Wait about 10 minutes after the start, then mark the no-show during the session. You can undo the mark within 24 hours. ADPList doesn’t say what happens after that window. ^[8]

Mentors and privacy: the terms conflict

The Terms allow ADPList to use session recordings and transcripts to train its AI. The privacy policy, dated the same day, says training uses anonymised data with explicit consent. The two documents don’t match, and this is the con privacy-minded users should weigh first. ^{[5] [6]}

ADPList’s optional tipping feature for mentors drew strong backlash, and the founder says it was poorly explained. ^[15]

Job seekers: free practice, unclear scores

ADPList calls Partner free “right now”, and it caps practice at 3 sessions a day. Its scorecard scale isn’t settled: the launch post and the interview page use different scales. That makes the score useful for spotting weak answers, and weak as a measure of how you compare to other candidates. ^{[10] [11] [12]}

A growing con: free-to-start has changed

ADPList’s 2021 founder announcement said the platform “will stay free and open for all.” Paid sessions now exist, and ADPList has not published when the change happened. Check the price on each profile before you book, because a mentor you found as free may not stay that way. ^[14]

Which matter most for you

If you want one question answered for free, the pros win. Book a free session, and you lose nothing if it doesn’t help.

If you are paying for a session, the refund gap matters more than the price. Get the cancellation answer in writing first.

If you are applying to mentor, the vetting bar is the main pro, and the Terms’ AI training clause is the main con to read before you upload a recording.

If you are preparing for interviews in design, product or UX research, Partner’s free practice is the strongest pro on the platform, once you accept that its scores are not yet clearly defined.