User Behavior

Explore the dynamics of online discourse, from perceived toxicity and ideological polarization to the challenges of moderation and maintaining community civility. Learn insights on navigating challenging online environments and fostering productive discussions.

Discover why users often mute app notifications weeks before deletion, and what this critical behavior reveals about their perception of value and interruption. Learn how product teams can build more respectful and effective mobile experiences.

Explore the challenges and skepticism surrounding demand for paid, privacy-first social platforms. Discover why users might not pay for E2E encrypted group features despite professed privacy concerns.

Explore the debate on transparency in community content moderation, weighing user experience and engagement against platform integrity. Learn how implicit restrictions work and what tools exist for users to self-manage their community participation.

Explore why users often prefer opaque AI like ChatGPT for financial advice over transparent, logic-based platforms, despite acknowledging AI's flaws. This analysis dives into user motivation and trust transference as key factors.

Learn how to identify and effectively deal with the rise of AI-generated comments in online discussions, understanding community guidelines and common pitfalls like the "ad machina fallacy."

Discover how companies can move beyond manual session reviews to efficiently identify and triage product usability issues at scale, combating churn with high-throughput data analysis. This post explores the limitations of current AI tools and proposes a novel graph-based approach for real-time problem clustering and trend identification.

Exploring why the 'average' score on online platforms is a misleading metric. Discover better ways to analyze user reputation and the different philosophies behind these point systems.

Discover the debate on whether to be polite to your AI. Learn how tailoring your tone, from saying 'please' to being demanding, can dramatically improve your LLM's output.