❓ Problem ✅ Solution 🚀 Value Proposition 💪 Unfair Advantage 🥧 Segments
1. Those experiencing mental-emotional-behavioral (MEB) health issues often feel shame and distance from their friends & family.
  1. Friends & family of those subjects often feel confused, distanced, and helpless.
  2. Care teams for those subjects feel limited by how they can help, particularly off-site.
  3. People often need to have difficult conversations, at which they often fail. | Provide ubiquitous mediation services for people that want to have and struggle with difficult conversations. | Provide a comfortable environment and tools for people to have difficult conversations, particularly in the context of MEB health. Generate research data for the psych community that, in turn, improves tools. | 1. Generating data to train an LLM-GPT AI for mediation is difficult to collect and manage.
  4. MLOps is a relatively new area and many organizations have not figured it out. | More likely to seek MEB health resolutions:
  5. Middle and upper-class
  6. Couples and families
  7. Has attended college

Based on limitations or strategic decisions:

  1. Mobile users
  2. English-speaking markets | | 🤔 Existing Alternatives | ****📊 Key Metrics | 🤯 High-level Concept | 📣 Channels | 👋 Early Adopters | | 1. Interventions
  3. MEB health communities, e.g. Alcoholics Anonymous (AA), support groups
  4. Woebot Health could pivot to this space | 1. CAC : ARPA
  5. MAU
  6. Session count
  7. Registration count
  8. Referral count
  9. Retention rate
  10. Conversion rate | Domain-trained ChatGPT group chats for friends and family to have difficult conversations | Inbound:
  11. Blog
  12. Webinars
  13. E-books, whitepapers
  14. Searches for MEB health issues
  15. Social media with infographic posts
  16. Messaging MEB health professionals

Outbound:

  1. Targeted ads, e.g. Facebook, Twitter | MEB health communities:
  2. Addiction support groups
  3. Death support groups
  4. Depression support groups

MEB health professionals |

💲 Cost Structure 💸 Revenue Streams
Development costs:
  1. Model training - direct, fixed
  2. Scaling infrastructure - direct, variable, driven by app usage

R&D costs: Research & whitepapers - indirect, variable, driven by marketing campaigns

Marketing expenses:

  1. Targeted ads - indirect, fixed
  2. Social media management - indirect, fixed

Labor costs:

  1. Pay for sessions and premium features
  2. Pay for generated research data |