Nosh robotics

Nosh robotics

  • Nosh Robotics

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  • case study

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My role

Product designer- Redesigning, creating information structure, defining; problems, features, creating; wireframes, screen ui, prototype.

team

Arjun - UX researcher, Harshil - UX researcher, Praveen - PM, Thomas - Full stack.

Timeline

June 2023 - August 2023

Overview

Nosh Robotics, an AI-driven product company based in Bangalore, aims to solve the daily cooking challenges working couples and bachelors face. Their innovative device leverages AI to prepare meals quickly and consistently, providing a hassle-free cooking experience.

In my role, I collaborated closely with the founder and UX researchers to initiate a comprehensive redesign of the device's screen UI.

Post-launch, the improved design led to a 20% increase in user satisfaction, boosted usability and effectiveness by 15%, and reduced errors by 25%.

MAIN PROBLEM

During discussions with the UX researcher, we uncovered several recurring issues that users were experiencing with the device. Many users struggled to interact with the screen and often found it challenging to navigate through the cooking process smoothly. Their journey was frequently disrupted by confusion and frustration, as they couldn’t easily understand how to operate the device or complete their cooking tasks without encountering hurdles. This made it clear that the interface wasn’t intuitive enough to guide users effortlessly through their cooking experience.

what they faced

To gain deeper insights, I thoroughly analyzed the data provided by the UX researchers and product managers. This revealed key pain points in the user experience:

1. Dish Selection :

Users often felt overwhelmed when trying to explore and decide what to eat, leading to confusion during the selection process.

  1. Preparing the Tray :

Many struggled with placing the correct ingredients in the right portions, making this step unnecessarily complex.

  1. Challenging UI :

The interface elements were too small and unclear, causing users difficulty in understanding and making decisions as they progressed.

Pain Points

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How user were affected

When we set out to design this AI-powered cooking robot, the goal was to simplify meal preparation for users. However, as we observed real interactions, it became clear that certain usability challenges were making the experience more confusing than convenient. To create a truly seamless journey, we needed to address these key gaps:

  1. Lack of Guidance & Preview (Jakob’s Law & Mental Models)

Imagine using a completely new device without any instructions—frustrating, right? Many users found it difficult to understand how the cooking robot worked because there was no clear preview or onboarding process. Without proper guidance, they struggled to trust the system and complete their tasks with confidence.

  1. Cognitive Load Due to Missing Visual Cues (Gestalt Principles & Fitts' Law)

Users expect intuitive visual elements like icons and images to guide their actions. However, the lack of these cues forced them to rely on trial and error, increasing mental effort and slowing down decision-making. This unnecessary cognitive load made the cooking process feel more complicated than it needed to be.

  1. Ineffective Focus & Hidden Elements (Hick’s Law & Visibility Principle)

Preparing the cooking tray should be a straightforward step, but hidden components and inconsistent UI patterns made it unnecessarily difficult. Users found themselves second-guessing placements, disrupting their flow and making meal preparation more time-consuming.

Aligning with the expectations

After gathering key pain points from users, I sat down with the founder to understand their expectations for both the product and the redesign process. Through multiple discussions and deep dives into Nosh’s step-by-step cooking journey, I outlined the following key objectives to enhance the overall experience:

Frictionless Meal Discovery

The process of selecting a dish should be effortless, with AI-driven suggestions tailored to user preferences, dietary needs, and past choices, making decision-making quick and intuitive.

Guided Cooking Experience

Users should feel confident throughout the cooking process with clear, step-by-step instructions, visual cues, and automated assistance that simplify complex tasks.

Real-Time Control & Flexibility

Cooking should be adaptive, allowing users to track progress, pause, adjust cooking settings, and ensure the meal stays warm until consumption.

Personalized Customization

Every user has unique taste preferences. The system should offer granular control over spice levels, consistency, and doneness, ensuring every dish meets individual expectations.

Ideations and add-on features

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Flow for better flow

I took the time to thoroughly analyze the pain points, requirements, and desired features. By combining these insights, I identified key opportunities to enhance the user experience. To address these, I started mapping out how the user journey should flow. After multiple reconsideration meetings and iterations, I created a comprehensive user flow—from the very first interaction to the final step.

User Flow

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Wireframes

With the user flow finalized, I shifted my focus to the design phase, diving into UI exploration. While creating wireframes and gathering user feedback, I discovered another challenge—the screen’s size and its placement on the device. Positioned at the top right, it made typing and interaction difficult, adding to the usability concerns.

I shared this concern with my team, and the industrial design head explained that they had already considered this challenge while designing the future version of the device. Their updated design aimed to address these usability issues, ensuring a more seamless interaction for users.

Screen of Nosh

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Wireframes

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Evaluating functionality

To ensure the redesigned experience was intuitive and seamless, I conducted iterative user testing through wireframes and prototypes. Early usability tests helped identify friction points, while high-fidelity prototype feedback loops refined key interactions, ensuring smooth navigation across the cooking journey. By measuring task efficiency and error rates, I optimized flows to reduce complexity and enhance user confidence.

Prototype testing

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Redesigning the screens

After gathering sufficient insights, I began the redesign process, starting with the first frame using the "F" layout approach.

Home screen

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Discovery screen

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New screens

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Imapact

The revamped design significantly improved user experience by enhancing clarity, efficiency, and usability. Key improvements include:

20% increase in user satisfaction with a more visually appealing and intuitive interface.

15% improvement in usability and overall effectiveness.

25% reduction in errors, leading to a smoother experience.

30% boost in task efficiency, making interactions quicker and more seamless.

Learning

Working at Nosh Robotics was a game-changer in how I approach design. Under the guidance of a senior product designer, I learned to think more critically and structure my problem-solving process. Collaborating with UX researchers was not just insightful but also fun—I got to see real user struggles and find ways to fix them.

Diving deep into the product, I faced real-time challenges that pushed me to iterate, adapt, and refine my solutions. Taking feedback, not just on my designs but on myself, helped me grow faster. This experience didn’t just make me a better designer; it shaped how I think about user experiences in a more practical and impactful way.

Me (Right most) with UX Researchers

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Published on march 28, 2025