Project Overview
Promovi is a groundbreaking customer intelligence platform for marketers that turns customer data into actionable marketing intelligence by seamlessly integrating customer data from disparate data sources. Marketers use Distil.ai to get deeper insights into their customers’ behaviours, preferences, characteristics.
The Engagement
With our successful track record of designing complex, data-driven user experiences for clients worldwide, Millipixels worked with Distil.ai to redefine and reimagine UX & UI for their next generation customer intelligence platform from the ground up, and devised a strategic UX framework to keep pace with changing marketing priorities and opportunities.
Detailed UX Audit
Auditing existing UX practices and libraries for repeatable patterns consistent with the brand.
User Research & Brainstorming
Researching user needs, behaviors, critical workflows and pain points Brainstorming for ideation and problem-solving.
Information Architecture
Working with the technical leadership to define and architect the ‘Core UX’ for application environment.
Interaction Design
Optimising the user journeys for thousands of interactions on the product every day.
The Challenge
Urban mobility is not a new challenge. And electric vehicles are not a new solution. But the changing market dynamics and improvements in technology, coupled with rising pollution and congestion, is bringing the focus back on ways to improve urban mobility. Micromobility solutions like eScooters continue their dream run with massive investments and burgeoning valuations for eScooter companies like Lime and Bird.
Our team's challenge was to redefine how eScooters could find a place in the urban mobility story in the years to come. We had to devise a user experience strategy for end-users, Fleet Managers, and Service Stations, specializing in electric vehicle servicing.
The Contours of our Solution
Consumer-facing apps for managing electic vehicles have been around for a while. Our solution was designed for manageability from the perspective of service centers and fleet managers.
Our user research indicated needs around 4 key areas - Vehicle Deployment, Pickup, Servicing and Charging. Coupled with intelligent route planning and rerouting, the UX framework had to address real-world scenarios using interactive prototypes with users. Our UX solution focused on building an extensible, reconfigurable, and componentized framework.
Meeting the Challenge
Millipixels was vital in helping us design and verify the design for the Distil.ai platform. The result is something that our users love, and has been praised by everyone who has seen it. I look at more mature platforms and think they look terrible compared to ours!
The Solution
Wireframes
We are aiming to create structural advantage which cannot be duplicated
UI Elements
We are aiming to create structural advantage which cannot be duplicated
Achieved Result
We are aiming to create structural advantage which cannot be duplicated
The Big Takeaways
We recognized early on in this engagement that a few critical use cases drove the project's KPIs, and if we executed those well, the UX framework would work well for its intended audience.
Design for the long-term and the short term
While the application UX was engineered differently for different form-factors and usage scenarios, there was also an overarching theme to the framework. Users needed to locate their data regardless of which device they were using to access the application. A personalized approach also meant a faster, better user experience for all user groups.
Demystify and abstract out complexity
Artificial intelligence support benefits are best realized when the users feel they are being heard and that their input matters. We engineered the user experience to let AI guide the user while the end-users made the actual choices when it came to route planning and selection. The users are in control, and it led to a better user experience overall.
An intuitive, consistent application framework
While the application UX was engineered differently for different form-factors and usage scenarios, there was also an overarching theme to the framework. Users needed to locate their data regardless of which device they were using to access the application. A personalized approach also meant a faster, better user experience for all user groups.
Human-first experience that was AI-enabled, but not AI dominated
Artificial intelligence support benefits are best realized when the users feel they are being heard and that their input matters. We engineered the user experience to let AI guide the user while the end-users made the actual choices when it came to route planning and selection. The users are in control, and it led to a better user experience overall.
Case studies
Industry Specific Problems Solved with Design
We’ve been fortunate enough to help some great companies with Digital Product Design. Here’s some of our case studies.
Artificial Intelligence
Distil.ai - UX & UI for web application
We’ve been fortunate enough to help some great companies with Digital Product Design. Here’s some of our case studies.
IOT App
Studiopod - UX/UI & developement for web application
We’ve been fortunate enough to help some great companies with Digital Product Design. Here’s some of our case studies.
Resources
Related Reading
TRENDS
4 Priorities for Climate Action and Social Equity in the COVID-19 Recovery
Author
Harjeet Sing Gulati
CEO, Millipixels Interactives
TRENDS
4 Priorities for Climate Action and Social Equity in the COVID-19 Recovery
Author
Harjeet Sing Gulati
CEO, Millipixels Interactives
TRENDS
4 Priorities for Climate Action and Social Equity in the COVID-19 Recovery
Author
Harjeet Sing Gulati
CEO, Millipixels Interactives
TRENDS
4 Priorities for Climate Action and Social Equity in the COVID-19 Recovery
Author
Harjeet Sing Gulati
CEO, Millipixels Interactives
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