NICHD
Data and Specimen Hub (DASH)
Timeline
Contribution
About
DASH is a centralized resource for researchers to store de-identified data and to access data and associated biospecimens from NICHD supported studies for use in secondary research. Supported the overall effort to push for brand development, as well as, update website user experience and design.
Overview
Problem Statement
Current website lacked functionality, usability and responsiveness for researchers to find and access datasets and specimens relative to their research.
* Some information regarding the user research process has been withheld due to confidentiality reasons. Please Contact for more information.
Problem Statement
Current website lacked functionality, usability and responsiveness for researchers to find and access datasets and specimens relative to their research.
* Some information regarding the user research process has been withheld due to confidentiality reasons. Please Contact for more information.
Product Solve
By providing limited up to date content, as well as, a strong architecture and user research we were able to provide easily accessible search queries.
Areas of Ownership
Product Solve
By providing limited up to date content, as well as, a strong architecture and user research we were able to provide easily accessible search queries.
Explore Marketplace
This included the Explore storefront, search, filters and detail pages.
Pre-Session
Helping customers get ready for their livestream with a dedicated detail page.
In-Session
Entering into a livestream via mobile device browser from the detail page.
Post-Session
Storing customers photos and purchased items after their live session.
Problems
Product Solve
By providing limited up to date content, as well as, a strong architecture and user research we were able to provide easily accessible search queries.
Customer Survey
From a launch survey, 78% of customers would "love to experience this. with friends and family"
Price
Private experiences have also come at a premium price, making them too expensive for customers (62% of responses).
Seller Growth
The 1:1 nature of Explore has also restricted seller growth
Why?
1. Low Conversion on Mobile
Conversion on mobile was .56% compared to 1.71% on Desktop. A key reason is not being able to consume experiences on mobile devices.
2. Traffic
76%+ of all Explore traffic came from mobile (mWeb and mShop).
3. Post-session survey
58% of survey respondents indicated they would like to consume experiences on a mobile device.
Understanding the problem
1. LEARN
Find out how customers use and interact virtually
Seeing the both the issues and stresses related to virtual dating will help provide insight into problems and possible solutions.
2. DEFINE
Understanding target market
This will help find what motivates and frustrates users. By identifying the target market will help to better understand and deliver a tool to fill users needs.
3. DESIGN
Building a solution
From our findings we can start to evaluate and build a product to fill those needs.
4. TEST
Validating the designs
Determining the success of the tasks that will include defining certain metrics(KPIs).
Success Criteria
1+
4.5
Defining Goals
50%
+150
+280bps
80nps
The Journey
2. In-Session Experience:
- Desktop (customer)
- App (host)
Before
After
Advanced Research
Search was updated to include more advanced filtering, as well as, integrate eleastic search for better scalability and security.
Issues
Amazon App (mShop)
- Cannot launch an Explore experience directly from the Amazon App (mShop).
- Cannot link directly to outside browser or give direct content redirecting customer from browser to mShop (legal).
Supported Devices
- Operating Systems Supported - iOS & Android.
- Browsers Supported - Chrome and Safari.
- Tablet Models and Makes Supported (future).
Study Submission
Researched and compiled user requirements in order to complete the study submission process in as little steps as possible. The result ended up being a more streamlined and easy process without any unnessary content and required steps.
Data Visualizations
Created and developed a more visual way to represent the thousands of different metadata attributes that each study possesses.
Data Visualizations
Created and developed a more visual way to represent the thousands of different metadata attributes that each study possesses.
Results
Revisiting the success metrics
+6
4.7
Results
Revisiting the success metrics
-67%
+203
+38bps
86 NPS
