ADPList Features

Partner is free, and its scores need a second look

ADPList calls Partner free “right now”, which is not a promise of free use later. Practice is capped at 3 sessions a day. The first session asks for a CV, a LinkedIn profile or an ADPList profile, takes about 8 minutes, and each interview takes about 3 minutes. ^{[4] [5] [7]}

The scorecard covers five skills: structure, judgment, specificity, content and delivery. The launch post says each is scored out of 10. The interview page sample uses a scale out of 5, labelled “Illustrative”. Until ADPList settles the scale, read the scores as direction, not as a number to compare across sessions. ^{[7] [4] [8]}

The coverage is narrower than the marketing suggests. The launch post names design, product management and UX research. The interview page builds an interview from any pasted job link, but nothing shows it tested outside those three role families. Paste a real engineering or marketing posting and see whether the questions fit. ^{[4] [8]}

The interview library is the main value. The interview page lists 62 interviews across Design, Product, Research and Career, while a July 2026 help article says 45. The newer page is the better guide. ADPList says more than 50,000 practice sessions have run since the July beta. That is a company claim, and its statistics page doesn’t show it. ^{[8] [5] [4]}

Verdict: use Partner as free practice, and follow the career-changer plan to spread it out. Don’t use it to predict a hiring result. ADPList says the scores “don’t predict hiring outcomes” and also says the feedback is calibrated to real hiring bars, and it shows no data for the second claim. ^{[8] [7]}

Mock interviews: one session is enough to judge

ADPList offers a mentor-led mock interview: a one-to-one practice interview with a person who knows the role. It suggests two or three sessions. The coaching page states no price, length or refund rule, so ask the price before you book. ^[9]

Verdict: book one, then decide. If the feedback is specific to your answers, keep going. If it reads like a generic checklist, Partner’s free practice covers the same ground.

Journal records only when everyone opts in

Journal, ADPList’s AI note-taker, records only when everyone in the session has it on. One opt-out stops the recording for the room, and existing Journals are kept. If someone withdraws consent, the privacy policy says recording stops from then on, but it doesn’t say what happens to data already used. ^{[10] [11]}

When recorded, video and audio are transcribed to produce AI summaries and action items. The privacy summary sets out the conflict. The Terms also allow ADPList to use recordings and transcripts to train its AI. Neither document says whether a mentor must agree before a recorded session. Verdict: keep it off unless every person on the call agrees, and say so at the start. ^{[11] [12]}

Mentor stats: useful, but the math is hidden

Mentees can see a mentor’s confirmed sessions, minutes and attendance rating. No-shows count against attendance. ADPList doesn’t say how the rating is calculated, so the number tells you how often a mentor has shown up, not how good the session will be. ^[13]

Verdict: use the stats to avoid a mentor with many missed sessions. Don’t use them to rank mentors who all have high attendance.

What ADPList doesn’t offer

ADPList doesn’t claim AI matching of mentors. Its AI features are practice and tools, so don’t expect the platform to pick a mentor for you. Browse by expertise, company or location, and book the mentor yourself. ^{[1] [13]}