SUMMARY AI summary by gpt-5-mini
AI Platform Growth Product Analytics Project is an end-to-end product-analytics case study simulating growth-team work to explain activation, retention and revenue across four AI assistants (Claude, ChatGPT, Gemini, Grok). Target users are product analysts, hiring managers, and interviewers assessing analytics skill. Deliverables include synthetic data (10k users, ~98k events), a Python data generator, Mixpanel import script, BigQuery CSVs, 18 documented SQL queries (funnels, cohorts, A/B tests, feature correlation, revenue), Mixpanel and Looker Studio dashboards (screenshots), a PRD and a 10‑slide insights deck. Key findings: large activation gap (87.7% onboarded vs 46.9% first session), Day‑7 retention cliff, A/B uplift (+7.1pp Day‑1 activation, p<0.05), 2× retention for advanced-feature adopters, and estimated MRR impact. Recommendations and reproduction steps are included.
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Owner
I turn messy data into clear stories, dashboards, models, and insights that actually drive decisions.
Dates
| Created on GitHub | 2026-05-09 |
| Last push | 2026-05-09 |
| First seen here | 2026-05-09 |
| Last fetched | 2026-05-09 15:42 |
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