Sprng Design Studio

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Tools Used

Figma, Figjam
Notion
Miro

Figma, Figjam

Notion

Miro

A no-code machine learning data prediction platform empowering businesses with intelligent data leverage. Integrating seamlessly with AI, it continually refines for improved results.

Problem Statement

The world is changing with emerging technology. Not only large businesses but also small scale businesses can seek an advantage of data in growing their business. Because of the high demand and high cost, not everyone can afford to hire a data science team. Hence small-scale enterprises are being pushed away from taking advantage of data.

Design Statement

The current data analysis process demands a huge investment on teams of professionals. Having a no-code intuitive platform for data prediction will ease the process as anybody can use it. This would help in accurately predicting future trends rather than guesswork.

There are a lot of steps involved in the traditional ML process. Normal users would feel overwhelmed if they had to go through this.

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Design Process

How we got there?

Unveiling User Insights

In the pursuit of clarity, we delved into the world of our users. Through meticulous research, interviews, and observations, we unveiled insights that became the cornerstone of our design decisions. Meet the personas whose needs and aspirations breathed life into our project.

We performed one-on-one interview with the users. The majority of interview questions are open-ended, allowing for the collection of detailed information.

Respondents worked in bank and tech based MNC.

There are roughly 5-6 steps in data analysis process which might take 2 weeks to 6 months

Duplicate entries, spelling errors, data quality can be hampered and reduced by these errors.

Spends a lot of time cleaning the data

Factors like age, credit score, background history impact a lot on the customer’s personality and his likely behaviour in the future

Meet the Personas

Richa Kaur

Customer success manager

Richa Kaur

Customer success manager

Richa Kaur

Customer success manager

Jay Sethi

Credit Risk manager

Jay Sethi

Credit Risk manager

Jay Sethi

Credit Risk manager

Storyboard for Jay Sethi’s Scenario

Jay would like to dig deep into new technologies to facilitate the completion of report analysis.

‘What if’ Scenario to find quick individual results is the key feature of EngageML.

EngagML allows to upload bulk data and the output at once.

One can also focus on getting comprehensive insights into machine learning models.

The interface seamlessly presents key metrics, ensuring a clear understanding of model performance. Users can delve into detailed information, including accuracy, precision, recall, and other essential metrics, empowering them to make informed decisions.

Task Flows & IA

From task analysis to Information Architecture

Apart from the ease of use, the simplicity of the model training process set up was crucial. Analyzing the ML process, we were able to identify users’ biggest pain points and streamline the flow for the least amount of steps and highest completion ratio.

Defining Design System

Typography

Inter

Regular

Semibold

Bold

Colour

Neon

The radiant color of yellow promotes happiness and optimism in the observer.

Believed to have an influence on the left side of the human brain, neon yellow helps foster strong analytical thinking.

Orange

The color promotes rejuvenation, positivism, and optimism.

Orange can foster encouragement, motivation, and drive during our trying times.

Impact & Future: Visual Design

Our app is not just a convenience; it's a paradigm shift in mobile banking. We envision a future where financial freedom lies at your fingertips, accessible across devices and empowering everyone to navigate their finances with ease.

UX Case Study

6 mins read

No-Code ML Platform

Services

User research

UI Design

Prototyping

User Testing

Empathy in pixels:

Empowered users to unlock the power of data, click by click, insight by insight. Made complex predictions accessible, transforming businesses with the magic of no-code machine learning.

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EngageML: No-Code ML Platform