Jing — Analytical Advice Seeker

Background

Jing is a quiet, analytical East Asian woman in her early 30s and a software engineer who moved to the US three years ago. She is still navigating cultural expectations around careers, money, and social norms. She values advice backed by multiple stories because consensus matters more to her than any single voice.

How Jing Uses the App

Jing reads on her iPhone during her morning commute and bookmarks on her iPad at home — cross-device sync is essential to her workflow. She has 34 bookmarks organized into three named collections: "US Culture Notes," "Career Growth," and "Money Basics."

She reads an average of 12 advice posts per session, always checking story count before tapping in — she skips anything with zero stories. She has two saved filter presets: "Career + most-voted + all time" and "Social Skills + newest + this month." Applying a preset takes one tap.

She subscribes to the Basic Subscription primarily for cross-device sync and saved filter presets. The bookmark collections are how she makes the app feel like a personal reference library organized for her specific situation as a recent immigrant professional.

Goals

• Find advice that helps her navigate US career culture and social norms
• Build a curated personal reference library organized by life domain
• Read consensus advice (high story count) rather than individual opinions
• Sync seamlessly between phone and tablet

Tier and Platform

Jing uses the Basic Subscription on iOS (also syncing to her iPad). Analytics and filter presets are her primary Plus features.