This article presents a detailed case study of how a video app team used two rounds of A/B testing with different swipe‑up guide designs to diagnose retention issues, refine the user onboarding experience, and ultimately achieve significant improvements in new‑user retention and engagement metrics.
This article shares a practical framework for designers to seize fleeting opportunities in fast‑growing products by identifying the product stage, applying a three‑step "find‑strategy‑execute" approach, and using the five‑element interaction model to drive measurable experience improvements.
This article explains user scale estimation—originating from market sizing—detailing top‑down and bottom‑up methods, their use cases for setting realistic product growth targets, why surveys complement database data, and a step‑by‑step process illustrated with real case study visuals.
This article explains the concept of growth hacking, its origins, the AAARR conversion funnel, key tactics for acquisition, activation, retention, revenue and referral, and how data‑driven experiments and viral marketing can systematically drive product growth.
The article describes how a lightweight big‑data analysis platform called MVP was built from scratch—using a User‑Event‑Config model, HDFS + ClickHouse + Spark, and four modules for metric monitoring, root‑cause alerts, deep growth analysis, and A/B testing—enabling real‑time insights in seconds instead of days and dramatically accelerating product‑growth operations.
