The Full Picture: Product Analytics + Qual Research, with AI
Alina Bezchotnikova
Principal UX Designer, Data-driven UX
Stop defending a metric. Stop defending a quote. Bring the whole picture.
You know the meeting. The dashboard says activation dropped 12%. The last five interviews say onboarding is "fine". Someone shows a funnel, someone reads a quote, and the decision goes to whoever argues better.
That's not a data problem. Both sides are right. One shows what people do. The other shows what people say. Nobody in the room can join them.
Your interviews were never the weak part. The problem is that they arrive alone — and a finding that arrives alone loses to a number.
In 3 weeks you'll build a loop where every metric movement gets a why, every interview finding gets a number, and AI does the connecting work you never had time for. Then you'll put that loop on a schedule, so an agent tells you what moved and who to talk to.
Free tutorials teach you Amplitude or Mixpanel. Other courses teach you to analyse what users say — faster, with better prompts. Nobody teaches you to join what they say to what they do, on the same question, in the same week. That's this course.
This first run is a beta cohort: 5 seats at a big discount, by application. Bring one live decision; every deliverable gets my written review, plus a one-hour one-on-one.
What you’ll learn
Leave with one decision settled by both your data and your users, written on one page — and an agent that does next Monday's reading.
The five checks that will help you not to get fooled by your own metrics
Pick the metric that actually answers your decision: activation, retention by cohort, adoption depth
Build a reading agent on your own Amplitude or Mixpanel that runs the checks for you (will scale for any analytics tool with API or MCP)
Split your decision into claims: which ones analytics can settle, which ones only users can (numbers yes, interviews no)
A call guide that captures what a number can sit next to, from the 3–5 calls you'd be having anyway
AI synthesises your call notes against the claims, so the connecting work takes an hour, not a week
Triangulation: what to do when data and users agree, contradict each other, or leave a gap
Your own decision, settled from both sides, written as a one-page finding your team can't argue with
Where a quick user platform test fits when you need a number fast (no synthetic, only real people)
An agent that reads your analytics every week, runs the checks, and posts what to investigate this week
Evidence lives where you live: it collects from the sources you already use and delivers to Slack
Setup guides for Claude and ChatGPT
Learn directly from Alina
Alina Bezchotnikova
Product Analytics, UX Research, UX Design, 17 years in design, B2B
Who this course is for
You're a researcher whose findings keep losing to a dashboard, and you want the number that makes them land.
You're a designer who was never taught the quant half, and wants to show a design decision moved something.
You're a PM doing your own discovery, tired of choosing between the dashboard and the customer call.
Prerequisites
A product with analytics
Amplitude or Mixpanel with events flowing, any plan including free. Mid-instrumentation is fine too; week 1 will help.
Access to users, and one live decision
Reach 3–5 users during the course — the calls you already have count, as do replays, tickets or surveys. And one live decision to work on.
An AI assistant you already use
Claude or ChatGPT, whatever you already pay for; you get a setup guide for each. No terminal, no coding, no Claude Code required.
What's included
Live sessions
Learn directly from Alina Bezchotnikova in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Maven Guarantee
Your purchase is backed by the Maven Guarantee.
Course syllabus
3 live sessions • 12 lessons • 3 projects
Week 1
Nov
2
Session 1: What users do
Week 1 · What users do
Week 2
Nov
9
Session 2: What users say, and the join
Week 2 · What users say, and the join
Schedule
Live sessions
1 hr / week
One 60-minute working session a week, recorded. Week 1: connect your reading agent and run the five checks on your own metric. Week 2: triangulate one decision live — analytics on one side, user evidence on the other. Week 3: wire the Monday agent, watch its first run, and draft the one-pager.
Mon, Nov 2
2:00 PM—3:00 PM (UTC)
Mon, Nov 9
2:00 PM—3:00 PM (UTC)
Mon, Nov 16
2:00 PM—3:00 PM (UTC)
Projects
2 hrs / week
One deliverable a week, built on your own product and one live decision — not homework. Week 1: a reading agent, plus what the numbers do and don't say. Week 2: the triangulated finding. Week 3: the Monday agent running, and your one-page finding. Every one gets my written review.
Async content
1-2 hrs / week
Two or three short lessons before each live session, plus setup guides for Claude and for ChatGPT so you arrive connected. Both Amplitude and Mixpanel click paths are shown; the method is the same. Templates included: the five checks, the call guide, the one-pager, and both agent blueprints.
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