User interviews at the scale of a survey.
AlphaMakers lets product companies talk to their users properly — dozens or hundreds of them — without a researcher's calendar becoming the bottleneck. You set the audience and the questions. Our AI interviewer makes the calls and hands back recordings, transcripts and the themes running through them.
Thanks for making the time. To start — could you walk me through what a normal week looks like?
Mondays are quotes, mostly. I'll do six or seven, and each one I rebuild from scratch.
From scratch — so nothing carries over from the last one?
Not really. I copy the last PDF and edit it. About forty minutes each.
Within 2 business days
Any hour, any day
How it works
Three steps, and none of them are scheduling.
The slow part of user research has never been the talking. It is the recruiting, the calendar tennis, the no-shows, and the week spent turning recordings into something a team can act on.
Tell us who and what
The audience you need to hear from and the questions you need answered. We turn that into an interview guide and agree it with you before a single call goes out.
We run the interviews
We reach the audience, and our AI interviewer calls whoever books — evenings, weekends, whenever suits them. About twenty minutes each, recorded with consent, and paid.
You get the evidence
Recordings and transcripts for every call, plus the themes that repeat across them — each carrying the quotes it came from, so you can check a finding against what was said.
Why an AI moderator
The hundredth interview is as patient as the first.
A human research team can run five good interviews a week. The constraint is not skill, it is hours — and it quietly shapes what you are allowed to ask, and how sure you are allowed to be.
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No scheduling
Participants pick any slot, including the ones no researcher would offer. Nobody is coordinating calendars.
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Volume you can count on
Ten interviews or two hundred, in the same week, for roughly the same effort.
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One script, asked the same way
Every participant gets the same questions in the same order, so a theme across fifty calls means something.
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Nobody gets the short version
The last call of the day is as attentive as the first, and follows up on the interesting answer just as hard.
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Evidence, not impressions
Every theme links back to the recordings and the exact words underneath it.
One link, one click to book
7am, 9pm, Saturday — all open
~20 minutes, recorded with consent
Gift card within 2 business days Paid
With the quotes underneath them
What teams use it for
The questions that need people, not dashboards.
Map how the work runs
Hear the shape of a normal week from fifty people who already do the job, before you commit a roadmap to a guess about them.
Find the real bottleneck
The thing everyone quietly works around is rarely the thing they complain about first. It takes follow-up questions to reach it.
Size the appetite
Whether the problem is irritating or expensive — and whether anyone has ever paid to make it go away.
Test the concept
Put what you are planning in front of the people who would have to pay for it, in enough volume that the answer is not one loud opinion.
Hear the objection first
The reason they would say no, in their own words, while it still costs a conversation instead of a quarter.
Understand the alternative
What they use today, what it would take to switch, and what they would have to stop doing to make room.
Find out why they left
Churn surveys tell you that people went. Twenty conversations tell you what happened the week they decided to.
Learn what they actually use
Which part of the product does the work, in their description of their own day — not in what the analytics imply.
Catch the near-misses
The people who almost left and stayed are the clearest account of what nearly broke and what held.
Were you invited to an interview?
If an email brought you here, everything about the call — that it is an AI, that it is recorded only with your permission, what gets asked, and how the thank-you is paid — is set out in plain language.
Questions
What teams ask us first.
Do people actually agree to be interviewed by an AI?
They are told it is an AI in the first sentence, and they still book — largely because it means they can take the call at seven in the morning or on a Saturday rather than fitting a researcher's week. Some decline, and that is fine; they are told they can stop at any point.
Who do you interview?
Whoever you need. We reach the audience you specify and invite them directly — we do not run a standing panel of professional survey-takers, which is the usual reason research participants stop resembling your actual users.
How is this different from a chatbot survey?
It is a phone call, and it follows up. When someone says a task takes too long, it asks how long, and what they do instead, and what happens when it goes wrong. That follow-up is the whole value of an interview, and it is exactly what a form cannot do.
What do we get at the end?
The recording and full transcript of every interview, and the themes across them with the supporting quotes attached. You can read one interview in full or read the pattern across all of them.
How long does a study take?
Most of the elapsed time is waiting for people to pick a slot, not running the calls — the interviewer is not the constraint, and never has a full calendar.
Are participants paid?
Yes. Every completed interview is thanked with a gift card, sent within two business days. Paying properly is what keeps participation from selecting only for people with an axe to grind.
How does recording and consent work?
The interviewer asks permission at the start of every call, before any substantive question, and does not record if the answer is no. The privacy notice sets out how recordings are stored, who sees them and how they are deleted.
How do we start?
Tell us what you are trying to find out and who would know. There is no self-serve sign-up — every study starts with a conversation about the questions, because a badly framed question produces fifty useless interviews just as efficiently as a good one produces fifty useful ones.
What would you ask a hundred of your users?
Tell us the question you cannot answer from your own data, and who would know. We will tell you whether interviews are the right instrument for it — and say so if they are not.
Talk to us