Weathery 

Role: Director of Product Design
Project: Speculative Work (Competitive Study)

Challenge:

Design a personalized, AI-powered weather app to explore market differentiation opportunities. The goal was to address common pain points in weather apps by providing personalized insights and recommendations based on real-time weather data.

Leadership & Strategy:

• Competitive Research:
  Analyzed existing weather apps to identify gaps in personalization and user engagement.

• AI Integration:
  Explored how AI could enhance weather insights, offering tailored recommendations for activities, travel, and daily routines.

• Prototyping:
  Developed interactive prototypes to visualize how AI could drive user engagement and differentiation in a competitive market.

Product Goals:

• Personalized Insights:
  Offer weather updates based on user habits and preferences.

• AI Recommendations:
  Provide AI-driven activity suggestions based on real-time weather and individual preferences.

• Intuitive Design:
  Focus on simplicity and efficiency while integrating advanced AI features.

Business Outcomes (Speculative):

• User Engagement:
  Hypothetically, the app's personalized features would lead to higher engagement and frequent app usage.

• Market Differentiation:
  Positioned Weathery as a unique, AI-powered weather app offering tailored recommendations beyond basic forecasts.

• Retention:
  Speculatively, personalized features could increase user retention compared to traditional weather apps.

Reflection:

This project explored the potential of integrating AI into weather apps, showing how personalized, actionable insights could differentiate a new product in a crowded market.