Analyttica TreasureHunt: A Data Intelligence Learning Marketplace

Designing an experience applied data science learning through a ‘Learn-Apply-Solve’ framework

Industry

Enterprise & IT

Platforms

Responsive web application

Expertise & Services

UI UX Design

Analyttica TreasureHunt is a learning and implementation platform dedicated to data science enthusiasts that offers users a digital ecosystem aimed at teaching data analytics using only real-world problems and data. The platform is an interactive and experimental learning tool that functions on a patented ‘Learn - Apply - Solve’ framework.

On noticing the lack of intelligent learning tools that provide users an opportunity to learn concepts practically, TreasureHunt envisioned a platform to do so. It wanted to build a marketplace that allows for a never-ending stream of educational content at the users’ fingertips.

Think Design collaborated with Analyttica TreasureHunt to design and develop their product, Leaps.

Analyttica TreasureHunt

Our Strategy

The Thinker Approach

The project began with just a speck of an idea. We dedicated time solely to work with the Analyttica team to understand the BRDs to ensure all business requirements were met. This was followed by a workshop that helped us further understand Analyttica’s working model. We also committed ourselves to learn about the users and developing user personas for the platform.

Learning about users allowed us to segment them and map their journeys. This helped us create the information architecture throughout the platform.

Competitor and landscape analysis followed suit. Through the same, we were able to gauge the common practices in learning platforms across industries, giving us the window to contemplate, discuss, and map out the features of the products.

Insights We Drew/ Insights Inferred

The landscape analysis helped us validate the novelty of this platform which allows users to learn and apply their knowledge simultaneously.

Insights from the research also helped us learn that users may pursue this as a part-time activity. This was reflected in our user journeys through a timeline format, maintenance of the learning continuum, and other critical features across the platform.

Key Strategic Interventions

System Assistance

Granting the user assistance for the initial project and transitioning into providing them complete control of learning and application.

Real Industry Problem Simulation

Access to real-life industry problem statements during practice for an enhanced and fruitful learning experience.

Learning In Control

Allowing users complete control of their learning journey; inclination towards the traditional approach was catered to by access to the study material altogether whereas simultaneous learning and application were also feasible on the platform.

Gamification

Through quizzes and interactive validation of learning after every module, gamification made learning fun.

KEY FEATURES

01

Certifications

Analyttica reached out to certain reputed education institutions to authorize the courses on the platform for users to attain validation through certifications upon completion. These certificates continue to hold merit as they are attested by some of the most prestigious global institutions.

02

Data Science Virtual Lab

The coding platform provides the users with assistance whenever necessary, access to relevant data, and real-life problem statements to work on—all at once.

03

Embedded Code Editor, a.k.a. Query Builder

Great efforts were made to create an accessible coding environment for the users, one of them being the embedded code editor. This integrated coding console allowed the users to write code in just the online editor, ridding them of the hassle to have multiple native IDEs and softwares.

04

Pre-Loaded Data Sets

Standard data sets that closely resemble the data used in real-life applications are provided to users at all times to help them get a close idea of real-world problems in the industry.

05

Live Demo Course

A live demo course was created to make the application even more accessible. It provided users with a walkthrough to help them get acquainted with the platform quickly.
The course also touched upon Analyttica’s philosophy of learning which is “apply and learn,” setting context to the new features they introduced on the environment.

06

Industry Portfolio

While users learn on the platform, TreasureHunt automates the process of building their portfolio including the courses they’ve completed featuring the projects submitted and all relevant details. This doubles as a resume that is sharable and works as an easy-to-read portfolio.

07

User Dashboard

The user dashboard helps users get an overview of their performance on the platform to date as well as a detailed view of each metric to understand their behavior and performance better.

08

Group Learning

This feature caters to individual users as well as industries. This allows a group of people to take a course together, providing them with additional features such as a discussion forum, special badges, etc.

09

Analyttica TreasureHunt Marketplace

This feature is a hub that allows users to explore relevant and new courses as well as view job offerings dedicated to the data science industry.
Course authors’ profiles are visible here which include the courses they’ve created, the number of people who’ve successfully completed them, author ratings and reviews, etc.
Users also get the opportunity to subscribe to particular course authors here to receive updates on their activities on TreasureHunt.

10

Course Creation

Creating a course was made easy and accessible through templates, automation, and seamless workflows. This helped boost content creation for the platform and build more traction.

11

Downloadable Projects

Real-life problem-based projects are complex, they use a lot of datasets, CSV files, etc., and may use third-party tools. So the projects were designed to be downloadable. This gave the users freedom o work on the same offline and then upload the file when they’re ready.

12

Formula Library

A simple formula library was developed which is easy to access and understand for the user. This repository contains formulas with context for the user to learn which formulas are to be applied in a given problem and why.

13

Fall Back

This feature allowed users to traverse back to their old versions of the project if they wish to undo a change they had made. Recovering older code and data was thus, made easy.

14

Communication Channel

A seamless communication channel allowed users to interact, share assets and resources, and engage with other users as well as the course creators,

DESIGN ACTIVITIES

Consulting

Stakeholder
Workshop

Strategy and
Product Definition

Visual System

UI UX Design

Front End
Development

Prototyping

Product Impact & Outcomes

Analyttica TreasureHunt went live in the market in December 2017. Within a few weeks of launch and with no marketing spend, the platform received thousands of user signups. This itself is a manifestation of the success of a good design.

The product also received a U.S Patent (Patent number: 9886867).

Think Design was also awarded the Good Design Award and India’s Best Design Project Award.

AWARDS

GOOD DESIGN AWARD 2018
INDIA’S BEST DESIGN PROJECT 2018
ANALYTTICA TREASUREHUNT
User delight through modularity and visibility of progress.
ANALYTTICA TREASUREHUNT
User delight through modularity and visibility of progress.
ANALYTTICA TREASUREHUNT
A unique and relevant design language to help view and understand large data sets.