01 / Mock Project

As this is a mock project intended to explore AI, I want the focus to be on showcasing AI specific requirements so I intentionally left out the standard UXD processes

02 / Input > Output

I explored innovative ways AI could be implemented in different parts of the process and what could be generated with different aspects of data

Input

  • Name, age, medical history, preferences, and other relevant personal details.

  • Health records, fertility test results, and any relevant medical information provided by the user

  • User preferences related to long-term goals, career aspirations, and lifestyle choices.

  • Data from user interactions with the software, such as clicks, searches, and time spent on different sections.

  • Preferred dates and times for virtual consultations with healthcare professionals.

  • User participation in community discussions, sharing experiences, and engagement level.

  • User inputs related to emotional well-being, mood tracking, and feedback on emotional support tools

  • Updates on adherence to medication schedules, progress in the egg freezing process, and any changes in the treatment plan.

  • Direct feedback on the user experience, effectiveness of features, and overall satisfaction

Output

  • Overview of the user's egg freezing journey, upcoming milestones, and personalized recommendations.

  • Tailored articles, videos, and guides based on the user's profile and stage in the egg freezing process

  • Simulations and personalized insights on the potential impact of egg freezing on long-term goals

  • Confirmation of scheduled virtual consultations, reminders, and preparation instructions

  • Suggestions for community engagement based on user interests and experiences

  • Personalized emotional well-being tools, responses, and recommendations

  • Detailed treatment plan including medication schedules, reminders, and progress tracking

  • Guidance and resources for post-treatment care, potential challenges, and recovery

  • Notifications and updates related to account security, privacy settings, and data usage

  • Customer support responses, acknowledgment of submitted tickets, and follow-up on user feedback

A | Dashboard

The dashboard would include:

  1. Emotional Well Being Check Ins > AI to analyze user input, behavior for emotional check-ins; Offers empathetic messages, virtual companionship, mood tracking for emotional support during egg-freezing

  2. Smart Reminders + Alerts > AI for personalized reminders on medication, appointments & lifestyle; tailored to user's routine & preferences

  3. Dynamic Journey Timeline > Generative AI algorithms for real-time tracking of treatment progress; offer dynamic visualizations and updates on egg freezing journey to empower users and provide a sense of control

B | Profile

The profile settings are important in ethically collecting data and making users feel in-control and safe

  1. Personal Info > Foundational info needed to generate AI responses

  2. Privacy Settings > Very easy to access; want the user to feel that it’s not hidden. Due to AI’s newness, user’s have apprehension around their security; intentionally made it easy to access to build user’s trust

C | My Journey

The profile settings are important in ethically collecting data and making users feel in-control and safe

  1. Optimal Fertility Window Prediction > AI will analyzes individual data to forecast optimal fertility windows. Provide users with insights into the most favorable times for egg retrieval, considering factors like hormonal levels, lifestyle, and medical history

  2. Milestones > Generative AI algorithms to track treatment progress in real-time. Provide users with dynamic visualizations and updates on the status of their egg freezing journey, fostering a sense of control and empowerment.

  3. Connect with Mentor > Generative AI algorithms based on where the user is in their journey and match them with a supportive Mentor who specializes in that stage

D | Appointments: Scheduling + Consultations

Adding AI to all parts of the appointment journey helps: alleviate confusion for the patient, the medical team be more productive + negates repetitive phone calls for clarification or reminders

  1. Smart Reminders, Alerts + Actions to Take > Generative AI for intelligent reminders, alerts and actions to take. Generate context-aware reminders for medication schedules, appointments, and lifestyle adjustments, considering the user's daily routine and preferences

  2. Virtual Consultations + After Visit Summaries > Use AI to assist healthcare professionals by providing summarized user information and insights. Enable real-time analysis of user questions and concerns to offer relevant information during consultations

E | Community

The community aspect is a huge part of what makes Elsa so special

  1. Community Engagement + Matching > AI algorithms engage communities by matching users with similar profiles, experiences, and goals. They generate discussion prompts, facilitate virtual meetups, and suggest articles based on individual needs, fostering a supportive online environment. Collaborative filtering recommends connections and discussions aligned with user profiles, while machine learning analyzes interactions to enhance suggestions over time.

F | AI Powered Support

Gives patients the ability to troubleshoot on their own time without needing to call the office or schedule appointments

  1. User Training + Education > Create onboarding materials and tutorials on AI's role in decision-making and emotional support. Implement in-app pop-ups to educate users on AI features. Provide clear information on user data usage for personalized insights.

G | Emotional Support

Combining AI with human elements to help users feel more education, in control and supported

  1. Sentiment Analysis User Flow > Create onboarding materials and tutorials on AI's role in decision-making and emotional support. Implement in-app pop-ups to educate users on AI features. Provide clear information on user data usage for personalized insights.

H | Decision Making Tool

Helps with financial and logical needs

  1. Financial Planning > AI algorithms analyze cost data, user financial profiles, and external information. Develop tools for estimates, savings strategies, and optimizations. Use predictive analytics for future cost projections and proactive financial guidance. Navigate insurance coverage, personalized savings, and dynamic cost estimates.

  2. Success Probability Estimation > Generative AI provides personalized fertility insights by analyzing user data, medical history, and lifestyle factors. It generates predictive models for optimal fertility windows, challenges, and success probabilities. A model also assesses egg freezing success based on individual parameters.

I | Treatment Plan

Create personalized treatment plans based on medical data, preferences and lifestyle consideations

  1. Treatment Response Predictor > Tailored recommendations for treatment adjustments based on predictive modeling to optimize the chances of success

  2. Medication Adjustment Predictor > Implement a predictive AI model to anticipate the effectiveness of medications and suggest real-time adjustments. Provide users with personalized dosage recommendations based on their individual response patterns and predictive analysis

J | For You Page

Inspired by Tiktok, users can veg out a bit and explore topics of interest after dealing with the heavier aspects of finances and planning

  1. Personalized Content Creation > generative AI to create personalized content addressing users' specific concerns, preferences, and informational needs. Generate articles, videos, or in. Gives users a chance to naturally absorb more information about the egg freezing process but in a relaxed, explorative, leisurely environment

Next

Combatting AI Error, Learning + Optimizations