Healthcare Digital App - Astrid
'Healthcare Digital Product Kick Off in 2 weeks'
Project was originally posted as a case study on 🔗 mariamukha.com
The outcome 👇
As a result, we’ve launched the demo version in 2 weeks as a team
of 3 people, had more than 15 products compared, 4 flows tested after analyzing 1500+ interviews.
What’s been done:
- Market research and benchmarking
- User Personas based on the qualitative and quantitive research results
- Userflows, wireframing, user testing
- UX Strategy for the future product implementation
- UI concept for mobile App
Competitor analysis 👇
Market Research
Nowadays, the online market is full of products within the healthcare industry: mental health recovering programs become viral once launched. But most of the applications, digital platforms, and SaaS products are very generic and focused n the overall health condition.
Astrid, in its turn, focuses n the specific health condition. There is no similar product in the market.
The Process
The client came with an idea and (happily) with the pale of beneficial research results. As it often happens, the brand guidelines were in the creation process, so User Experience became the primary focus for my attention. During a bit more than 2 weeks, we went through the perfect process from the very first brainstorm the actual demo version of the product.
The Approach 👇
User personas 👇
User Research
Who are the users? Women in their 20-30th
What they came with? Recently got diagnosed / looking for PCOS treatment / trying to conceive / can’t loose weight
User Stories & Scenarios
The product implies 2 sides of the user and 3 user roles. For sure, at the first launch of the demo version, we’ve taken the most common case for each side, the frequent patient and the responsive provider. For each, I created the task flow, focusing on the mobile for the patient and the desktop for the caregiver.
Flows, quick prototypes 👇
Onboarding plan 👇
Responsive design guide👇
The Challenges and Takeaways
This health condition is pretty unique, and it was hard to reach out to the users, but the client helped on this part a lot. The biggest challenge fr us all were time frames, but we sped perfectly thanks to the genius data scientist, who could find most solutions ready for usage. From my side, we did most of the work on the research part, which was crucial for defining the most relevant features for the launch.
The critical aspects of the successful project:
- everyone’s (in the team) awareness of the main problem
- clarifying directions by setting relevant time frames
- the prioritization and frequent syncing
The UI 👇
Thank you! ✔️
Thank you