Ngozi Njoku

SWOT ANALYSIS ON ADA HEALTH APP 1 Strength Weakness Opportunity Threat Advanced AI and machine learning capabilities Potential challenges in diagnosing complex conditions Expansion into new markets and regions User concerns regarding data privacy and security Accessible and reliable health information Dependence on user-provided information Continuous improvement of AI algorithm Poor customer base in Nigeria and other parts of Africa. Competitive Analysis with Competitors based on Key Features, Pricing, and Competitive Advantage . Competitor Key Features Pricing Competitive Advantages Zuri Health Fertility tracking Premium features available through subscription Personalized features and health tips Docktall Virtual consultations with healthcare professionals Paid model, pricing Having easy access varies depending on to medical services used professionalsConvenient and time-saving virtual consultations USER PERSONA Who Name: Carl Nadis Who Occupation: Manager Age: : 32 Location: Suburbs Income: 120,000 Occupation: P.M Name: Dr. Chinedu Age: 45 Location: City Income: 1000,000 Occupation: Founder Goal Barrier Carl wants to keep up a healthy lifestyle and take charge of her health. In order to make wise choices regarding her health, she wants quick access to trustworthy health information, symptom evaluations, and advice. Due to her demanding work schedule, Carl frequently finds it difficult to prioritise her health and swiftly seek medical assistance. She wants an easy encounter that will effectively treat her health concerns. Goal Barrier Dr. Chinedu wants to give his patients effective, all-encompassing care. In order to gather background data, speed up consultations, and provide more individualized treatment recommendations, he uses the Ada Health app as a diagnostic tool. It can be difficult to balance a demanding schedule with his patients' various demands. Dr. Chinedu is looking for an app that provides precise assessments, shortens the time required for initial assessments, and enables easy interaction with the clinic's current technological systems. 1. SCALE USED Rice . Scale Impact (potential value for use) Confidence (how confident are we in reach and impact estimated) Effort( development complexity 100% 80% 3 2 50% <50% 3 2 1 1 https://ngozi2.atlassian.net/jira/software/projects/AHAR/boards/1/backlog ( Product Roadmap) https://forms.gle/3kB9A3MqKVEvNLkMA. (Customer Survey) https://docs.google.com/file/d/1P5buLkLkjCmAdi8H9nmqAdHrovixXTtL/edit?usp=docslist_api&fi RICE Framework Model . Features Reach Impact Confidence % Effort RICE Value My profile 95 3 100 2 142.5 Smart result 75 1 80 1 60 Condition library 50 1 50 2 12.5 Languages 35 2 100 1 70 Symptoms assessment 100 3 100 3 100 SUCCESS METRICS AAARRR User Action Targeted user % A/B Testing method What to track AWARENESS Know or hear about ADA Health app 100% Social listening,social media survey,brand search on google. Impressions people have about the website and app ACQUISITION Doesn’t abandon( stay for 30+sec,views/clicks 2+ features 80% Headlines, copy Ad placement,CTA on landing Page heatmap ACTIVATION Answer necessary questions to create a profile 40% Additional CTA on each page, simplified question and good user interface Customers review RETENTION Communicate with a doctor on the app,request for their prescription to be delivered by the closest pharmacy 60% Emails and in-platform alerts Retargeting success rate REFERRAL Refers 1+ user to download the add 40% Campaign notification,emails/perks Referral growth reduced internal marketing growth REVENUE User generate minimum value 60% Partnership and collaboration with medical and pharmaceutical industries Break even point revenue growth rate . Relevant links Rice framework: https://docs.google.com/document/d/1CUrraDupGJmq4mManF2jiikgUs2Vj6FepyaPaGS_Ejs/edit?usp=sharing User story and acceptance criteria: https://docs.google.com/document/d/1ISdztTVeKEYN9UQR5ugh0dyeu8CYpkPg3l48YJ5o7CI/edit?usp=sharing User persona https://docs.google.com/document/d/1VhpEPb_HNVWpeXV5szm7_gXis2QDpIVNpZxZ3kD4iQQ/edit?usp=sharing Swot analysis https://docs.google.com/document/d/1I1RGlPy4AF8hAe8_X1s_6fYe41gsjKZG/edit?usp=sharing&ouid=-&rtpof=true&sd=true User flow https://docs.google.com/document/d/1P5buLkLkjCmAdi8H9nmqAdHrovixXTtL/edit?usp=sharing&ouid=-&rtpof=true&sd=true