<aside> 👉 For more information on the proposed structures and protocol, please see the **Partner Protocol - Working Document** and the Overview Presentation.

</aside>

Context

• The universal, representative measure of success for human life, individually and collectively, is quality of life.
• Quality of Life evaluation standards are well established, but not universally collected
• If quality of life data were reliably collected and available at scale:
  • Individuals would be better equipped to manage their quality of life, and
  • We would be able to evaluate the quality of life impacts of products, services, and activities
• This would lead to the ability to materially improve:
  • Quality of life management for individuals and collectives (communities, populations, etc.)
  • Predictive quality of life impacts of products and services on individuals
  • Personalized recommendation of actions for individuals to improve quality of life in specific situations (e.g. products, services, activities, etc.)
• This could ultimately be automated to optimize individual and collective quality of life.

History

• Began exploring and experimenting in 2014
• Built app for mood-tracking and journalling that have 49% retention after 30 days
• Experimented with bot facilitated coaching, motivation, and Q&A supports using sms and mobile, responsive, modular interfaces
• Drafted life-state protocol concept in 2017 (see Partner Protocol - Working Document)

<aside> 👉 For more information on the proposed structures and protocol, please see the **Partner Protocol - Working Document** and the Overview Presentation.

</aside>