Why working on this So I'm a former PM, and product analytics seemed like only semi-"hard", transferable skill one can have. But the problem is that for every company, you still have to find the key metrics anew and the process of finding the right way to track everything takes multiple attempts and is slowed down by having to wait for Analyst to prepare date for you and for developers to set up event tracking and ab test displaying. In addition to all that, when you release a new feature and it doesn't work - you have to sit and stare at goddamn session recordings 90% of which are mind-numbing and not insightful.
That entire process is essentially the "coding" skill of PM. And that's what I'm automating with UserWatch and its Watchy AI.
How it works Right now, UserWatch integrates with Posthog and can help you with:
Dashboards on demand – just prompt info you want to see. "activation funnel where users visit page X, then click button with text Y, and then trigger the event Z". Watch AI will confirm whether it identified every action correctly and send you a link for the dashboard.
Set up A/B tests – “roll new onboarding to 30 % of traffic, success metric is sign‑up” → Watchy will create a flag feature + experiment.
Replay analysis – Describe the funnel step where you notice people drop off and userwatch will conduct a deep research to provide you the reasons why it happens and the Jira fix tickets.
Stack AWS, rrweb for replay capture, PostHog for analytics backend, gpt-4.1, agents sdk, posthog custom mcp.
Try it free 14-day trial with 15k sessions analyzed. Looking for brutal feedback on:
What you failed to setup with prompts, but really want to
Anything that would stop you from replacing GA4(god forbid), PostHog, etc.
Happy to answer technical questions. Non-technical too. Some personal too. Love ya!