Research analysis platform
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You talked to 200 users. Now find out what they actually told you.
AI research analysis for Russian, Uzbek and mixed-language interviews. Record or upload your calls and get transcripts, themes, segments and evidence-backed insights in minutes.
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Built for
- Русский
- Oʻzbekcha
- Accented English
- Mixed-language calls
Theme · 14 of 30 interviews
They got stuck during setup and never came back.
Sozlashda qotib qoldim — не понял, что дальше делать, shuning uchun tashlab yubordim.
I got stuck in setup — didn’t understand what to do next, so I gave up.
Does any of this sound familiar?
These are the questions we kept asking ourselves.
How do you remember what was said in a meeting three weeks ago?
Not the summary. The specific thing one person said that changed your mind.
Your team talks to customers separately. How do you catch up without missing anything?
Three people, three sets of notes, three different docs.
Your users speak a language you don’t. What happens to those calls?
You catch 70% live and hope the rest wasn’t important.
You ran 200 interviews. How do you segment them?
Finding what’s common across all of them is a spreadsheet and three days.
A new PM joins. How long before they understand your customers?
Two weeks reading old docs, or re-running interviews someone already did.
What’s actually painful for your users — and what do they love?
You know the anecdotes. Do you know how many people said it?
Right now you pick one: slow and right, or fast and wrong.
Slow and right
Transcribe. Translate. Re-read all of it. Build the themes by hand in a spreadsheet. Three days per study, and it only lives in your head.
Fast and wrong
Paste it into a chatbot. Get a summary you can’t verify, from a model that mangles half your audio and forgets it tomorrow.
You shouldn’t have to choose.
Before
- Record
- Translate
- Re-read
- Tag
- Excel
- Compare
After
- Upload
- Analyse
- Get insights
From interviews to insights
Understand every interview
Transcribe Russian, Uzbek and mixed-language conversations, then keep the original evidence alongside the translation.
churn-interview-04.m4a
38:12 · Uzbek, Russian
- 03:12
ModeratorRU
Когда вы перестали пользоваться приложением?
When did you stop using the app?
- 03:18
DilnozaUZ
Bir hafta ishlatdim, keyin tashlab yubordim.
I used it for a week, then dropped it.
- 03:31
DilnozaUZRU
Sozlash juda uzun edi, lekin поддержка не ответила.
Setup took too long, and support never replied.
Every answer in one place
Each interview is organised against your discussion guide, so your team reads one set of notes instead of three.
When did you stop using it?
28 answers
- Most churn happened in week one, during setup. #04 · 03:18
- Nobody who reached the second week churned. #11 · 19:40
What would have kept you?
26 answers
- A reply from support within a day. #07 · 12:04
Who else uses it in your team?
19 answers
Find patterns across interviews
See what 30 customers had in common, ranked by how many people said it — with the evidence behind every number.
Top pain points
Setup takes too long
18/30#04 · 03:18+17 moreSupport never replied
11/30#07 · 12:04+10 moreDidn’t see the value yet
7/30#23 · 08:52+6 more
Segments
- New users · 14
- Returning · 9
- Team accounts · 7
Who’s building this
Built by a product manager who has worked across several companies and talked to thousands of users, trying to understand their pain points and what they were really asking for — often in languages he doesn’t speak well. That meant recording every meeting, re-listening three or four times, taking notes by hand, then segmenting and analysing them. This is the tool that should have existed.
- users interviewed
- Thousands
- re-listening per call
- 3–4×
Early access
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How you analyse interviews today. No pitch.
Currently talking to teams doing research in Russian, Uzbek and mixed-language markets. If that’s you, 15 minutes is the most useful thing you can give me.