Neverinstall — Omnipresent AI
Integrating an ever present
AI companion onto virtual desktops
Foundational AI Research
User-Centered Design
human interaction
responsive
Overview
UI UX Lead — Handled User research, Interface design, User flows, Rapid prototyping, & Interaction design for Neverinstall's foray into AI integrations.
Context
Post-interview insights sharing
We strategically prioritized the implementation and development of our AI Assistant, carefully evaluating and ranking its features based on their potential to drive significant business value.
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Identified business impacts with PM
We strategically prioritized the implementation and development of our AI Assistant, carefully evaluating and ranking its features based on their potential to drive significant business value.
Increased developer productivity
Revenue-generating prospects
User retention and engagement
Appealing to entry-level coders
Brainstorming with
the team
With several stakeholders and various opinions for a range of priorities, compromise and prioritising was key to getting to our first iteration.
The big picture
How might we create an ever-present AI assistant that leverages OS context to drive awareness and adoption of this pioneering feature?
Design
Usability
Induced familiarity
Engaging & distinct interaction
Designed for contextual development, design & content use
First iteration
In parallel, a three-week sprint produced a promotional video showcasing the vision for this feature, which helped garner stakeholder and user buy-in on the form factor, aesthetics, and broad applicability from the outset.
Stakeholder inputs
Feedback collected across key stakeholder groups reveals diverse perspectives and priorities, highlighting both the complexity and opportunity inherent in our design decisions.
Emphasize features during the onboarding process to improve user discovery
Provide a guided tour as soon as users enter their workspace, and make sure to clearly explain how the AI feature is utilized
Changing the design based on insights
The changes outlined below were informed by feedback gathered through our previous conversations.
Improving dock functionality within Spaces
Adding tooltips tactically in the user journey
Improving micro-interactions
Designing for mobile interfaces
To enable mobile access to virtual desktops, we developed a custom interaction tailored for the constraints of handheld devices.
Deliver
Owing to the zeitgeist nature of the feature we were launching, we had to keep a close monitor on the user behaviour post release to be able to quickly iterate and evolve.
Reflections
Our AI's initial success was driven by focused functionality and rapid iteration - combining strong visual context with guided workflows - leading to accelerated adoption after a well-received launch.
While pivoting to B2B drove growth, increasing security requirements led to design compromises that favored enterprise needs over user experience.
Credits
Tools
Figma
Adobe Suite
Framer
team
Co-Founders
Ram Pasala
Lakshman Pasala
Design
Rajas Parte
Vishal Verma
Sharwari Jangale
SWE
Prachi Mandil
Pragyan Poudyal
Yakul Garg
Priyanshu Kumar
Raj Naik
Product
Prajyoth Thota
Rajeev Nayan
Growth
Struthi Giridhar
Amulya TG
