Objective & Research Methods
Implementing multiple new products into the Crossplatform Datacamp apps, providing more value to the learning experience and certifying users ready for employment in Data Science.
Competitor audit, persona study, analytics review, A/B testing, accessibility audit, user interviews, & prototype testing

Introduction
Here you will see various examples of my work as the product design lead on the Datacamp app. The service has over 2 million downloads and a very large userbase with an excellent median score, so our design decisions were critical when pushing new build updates. Working very closely with the PM and the engineers, we collaboratively worked on not only constantly polishing the product, but also pushing new and exciting features which the users would enjoy and help further their data science skills to attain a career. 
The app, just like the desktop experience used a very organised and functional design system within Figma, using these components and sometimes creating new ones which we researched, brainstormed and validated (using quantitate and qualitative testing) new feature sets that we can design and build relatively quickly.


Results
✓  Increased engagement & subscription with users who don't know any code
✓  Signups in the 1000s for competitions
 Flashcard learning received overwhelming positivity from users
✓  Workspaces engagement is in the 10's of thousands
✓  Datacamp Certified users are now getting employed using the product
​​​​​​​Competitor audit

The online education sector is truly massive and one that has been around a very long time. Even myself being a prominent user of it back in mid 00's, one example being the design education site Envato Tuts+ which allowed me to be here today as a professional. So as you can imagine, it was an overwhelming task to audit this sector.

However, we dug right in and concentrated on the relevant area of data science. There were several apps and websites we really liked and disected the pro's and con's of. However, interestingly when we spawned out of data science, we noticed we loved the way practice was integrated into duolingo, a language learning platform. The truly impeccable intricacy of this service allowed us to spawn several ideas on how to improve our products experience.
Ideation & Persona study

Consistently working very close with the PM, we continued to ideate and improve the overall experience in the app to increase productivity for the user. Using some data we gathered from persona workshops, shown in the examples below we streamlined the way flashcards and practicing works to constantly to keep the user on their toes and really aid their learning progress.

We also refined and simplified how questions are displayed, answers are selected and images are viewed.
User testing & Design systems

We created very detailed clickable prototypes using Figma, which we pushed into moderated user testing which we performed on a handful of existing Datacamp users, asking them the benefits, the cons and the overall pain points. We continued to iterate the designs to production level and worked very closely with the engineers to integrate any new components into the design system and made sure all is flawless once our work was live on the stores.


Conclusion & Handoff

During my final few weeks at Datacamp I was tasked in finally merging the popular workspace product into the app. I explored many routes and designs in making this a seamless transition whilst continuously keeping in mind my screen estate constraints. We worked very lean and managed to ship a simpler but still highly functional port of workspace and even had a chance to introduce unique ideas such as remixing code as shown below.

No coding required, practice with flashcards and workspaces are now thriving on the app.
Back to Top