User research
10+ user interviews to understand stress-relieving conversation needs and listener expectations.
From resume and pitch deck context
Product case summary
Competitive review
5+ competitors analyzed to define personas, user flows, and key feature choices.
Prototype iteration
High-fidelity wireframes and usability testing with 30+ users to improve the app design.
Core features
Empathetic listener match
Match users with trained listeners based on need, language, and comfort preference.
Guided conversation
Prompt-based conversation structure to make sharing easier and less overwhelming.
Reflection history
Private notes and follow-up prompts that help users track emotional patterns.
Product scope
| Module | What it does | Portfolio proof |
|---|---|---|
| Check-in | User selects mood and receives a next-step prompt. | Interactive mood tool on home. |
| Listener network | Collects listener applications with language, experience, and availability. | Working intake form. |
| Community feed | Allows moderated prompts and positive conversation starters. | Backend-ready message form. |
| Safety layer | Separates urgent risk from normal peer-support conversation. | Dedicated safety page. |