Magnolia Haven

We understand that our mission requires our users to share the most personal information and to do that trust must be created. We are a tech company, has in some ways disregarded the public trust. The One Trust model is meant to help bridge the gap between users and the organization they have provided their data to. Magnolia is committed to transparency in our data collection and usage. Have a conversation with IRIS to review our user agreements, data usage, and privacy policies. Review the audit trail that's processed via Microsoft Azure. Your videos, chats, and bio-feedback are reviewed by Magnolia IRIS from within your Haven space. Depending on your package, none of that information will ever be seen or heard by humans. IRIS processes your submissions and returns it's analysis. The data you've submitted is now shredded, (need explanation) and cannot be recovered or reproduced. The summaries and analysis of the submission are availave to your, your personal IRIS, professionals as needed, imagine working with your trustued doctor and provided them with summaries of how events in your life effect your mental health, this is the power of Magnolia Haven. 

Yes, when we wrote this out, we laughed and thought we have heard it all! 

We don't need or want to sell your data. 

1. Once it's sold we are responsible for x - need ways a company can get into legal trouble

2. We build synthetic data from your opted in data

What is syntheitc data, see put in video link. We create statsitically valuable and highly targeted data that's never been obtainable before we developed Magnolia Synergy. Put in links about the demograpics data that was found in the reserach. IRIS and Synergy create syntehtic models based on the data that cannot be tied to any person because the synthetic person does not exist. The tie back to who gave the data no longer has value and why we don't need to sell your data 

WE need to call out the research teams and schools near us that we have partnered with

Dicuss the rates of mental health issues with women and married women etc. Focus on why the research matters and how it will imporve the lives of women today and in the future