Enter any product name. Get a 3,000-5,000 word strategic teardown with user journey mapping, drop-off analysis, and prioritized solutions — sourced from real data.
Data sourced from
Every analysis walks through the full PM problem-solving cycle — the same framework used in APM interviews and product competitions.
Full funnel from awareness through signup, activation, engagement, monetization, and referral. Every stage mapped with expected vs actual behavior.
Where users leave at each stage, why they leave, estimated percentages, and root causes backed by real review data.
Behavioral buckets — Power, Moderate, Casual, and Churned users — with tailored pain points, needs, and strategies for each.
Solutions scored with RICE framework. Quick wins separated from big bets. Each recommendation is actionable and measurable.
North Star metric, input metrics, counter metrics, and a complete OKR set. Not vague — specific formulas and targets.
Hypothesis, control vs variant, sample size, duration, success criteria. Every solution comes with a validation plan.
Type any product — Notion, Tinder, Duolingo, your competitor. Optionally add their domain for deeper website analysis, or specify a problem area for focused case study mode.
Our engine scrapes 8+ sources in parallel: App Store reviews, Reddit discussions, G2 ratings, Product Hunt launches, Crunchbase data, news, and the company's own website.
Our engine generates a 3,000-5,000 word PM-grade teardown streamed in real-time. User journey maps, drop-off tables, effort-impact matrices, metrics frameworks — all from real data.
Choose the format that fits your need.
End-to-end product analysis. 12 sections covering business context, user journeys, competitive landscape, solutions, and strategic outlook.
npm run teardown "Notion" --domain notion.so
Problem-focused deep dive. Root cause analysis, user segmentation by pain level, 3 solutions with wireframes, and A/B testing plans.
--mode case-study --problem "onboarding drop-off"