VAS Feed Comp

The building of VAS’s Feed Management Tool

to ensure effective feeding operations at the farm.

The Project at a Glance

Project Type


End-to End Product Design

for VAS’s FeedNext (Now, FeedComp)


Project Duration


2 months

Contribution, Methods and Tools


User Research, Stakeholder Interviews, Usability Studies

Hi Fidelity Designs, Clickable Prototype, Figma


Role


UX Designer

Project Status


Successfully Rolled Out



Outcome


Decreased Time at task by 90%

Increased Customer Satisfaction by 94%





As part of my commitment to client confidentiality, I’ve carefully modified certain details in this case study to comply with our non-disclosure agreement (NDA). This overview focuses only on the high-level research and design process while ensuring all proprietary information remains secure.

B A C K G R O U N D

The Context

VAS, a US based global leader in connected farm management, serves over 15 million animals in 100+ countries. Recognizing that feeding operations accounts for 50-60% of dairy farm costs, VAS saw the need for a robust feed management system.

The system helps users manage the entire feed cycle, from scheduling feedings- recipe selection and mixing ingredients, to delivering the prepared mix to assigned pens, and monitoring feed performance. The system would also include additional important operations tasks like making adjustments to the cattle pens, ingredients, locations and equipments and tracking inventory. Via a mobile app, farms can capture precise data, generate reports, track trends, and optimize feeding decisions.

Make adjustments

to Pens, Ingredients, Recipes, Inventories,

Vendors, Locations, etc

Prepare a Feeding Schedule

Feeding Process

Mix the ingredients as per a recipe according to a feeding schedule

Drop the prepared mix into pens according to the feeding schedule

Prepare a Report Card

Report based on the Feed Performance

My Role

As a UX designer in a team of two, I led the design efforts for this project, delivering designs and prototypes within a two-month timeframe. I played a pivotal role in conducting research, developed solutions, and collaborated with product managers, analysts, developers, and clients. Regular reviews ensured our solutions were effective and user-centric.

T H E R O A D M A P

Process Highlights

We began by analyzing business requirements and conducting research. Following the Human-Centered Design process, we used insights to guide our solutions. Weekly reviews with clients and usability studies with end users helped us iterate and refine the application.

Empathize

Define

Ideate

Solution

Research

Analyse Insights and define the problem

Brainstorm

Develop Proposals

Get feedback

Iterate

Testing and

Iterations

K I C K O F F

Identifying the Users

Before diving into the users' challenges, we first identified the key personas who would be using our application. This approach allowed us to gain a deeper understanding of their needs and to formulate the most relevant questions for our user research.

Feed Supervisor

Feeder

Nutritionist

Talking to the Users

To ensure that the application was designed with real user needs in mind, we conducted online user interviews with farm owners, feed supervisors, and feeders and nutritionists. We conducted 5 user interviews online to better get and understanding of the pain points of our user base. These sessions helped us understand their daily challenges, workflows, and expectations from a feed management system. The insights gathered played a crucial role in shaping the product’s usability, ensuring that it was intuitive, efficient, and aligned with how farms operate.

Tracking feed inventory has always been a challenge. Sometimes we overstock, sometimes we run out, and there’s no easy way to monitor it in real-time. A system that alerts us when stock is low would be a game-changer."


-A Feed Supervisor

English isn’t my first language, and I don’t have time to figure things out. If the app can guide me visually or in Spanish, that would help me do my job faster without asking for help all the time.”


-A Feeder

I have very little time to train new employees. If the system is too complex, they’ll keep making mistakes. We need something simple—just a few taps to create a recipe and schedule feed drops.”


-A Feed Supervisor

Understanding the Users

Persona: Feed Supervisor

As a farm supervisor, they continually monitor the efficiency of feeding cows (The cost of ingredients, how long it takes to feed animals, and when they should be fed).

Pain Points:

  • They struggle with inventory management- either running out of or overstocking without accurate data.


  • They are often rushed and have minimal time.


  • They have to monitor feed rations and adjust amounts to ensure effective feeding which is very time consuming without a proper tool.

Goals:

  • To have a tool to effectively manage feed inventory, feed costs and feeding schedules.


  • An easy tool to make adjustments to pens, recipes, locations and ingredients as and when required.


  • A system that requires little input on training new employees and is easy and intuitive.

Persona: Feeder

For a feeder their primary responsibility is to ensure that the dairy cows are fed according to the

schedules and rations set by the farm owner or feed supervisor. They also need to take into account variations that might ultimately affect how much feed should be mixed and delivered to the cows.

Pain Points:

  • They are mostly Spanish Speaking and have trouble interpreting tools in other languages.


  • They are often not very educated and have trouble using complex systems. Additionally, They are groggy and rushed early in the morning while feeding


  • They have to ensure accurate feedings to the pens. Currently they do this manually.

Goals:

  • They need an easy to use application to ensure accurate feedings, mixing and dropping into the pens while making sure the scales and equipment are updated.


  • They need the application to run autonomously once connected.


  • They need the application to have multi-lingual support.

Persona: Nutritionist

A nutritionist helps dairy owners ensuring the optimal health of their herd. Their primary responsibility is

formulating diets and recipes by balancing a complex mix of ingredients to support healthy feeding of the cows.

Pain Points:

  • Since the current process of recipe creation is manual, it it error prone and often cause huge loss on costs.


  • They often work out of the farm so they don’t always get accurate data of the ingredients and inventory or are able to track them in real time.

Goals:

  • They need an application where they can track all ingredients and their costs.


  • They need an effective and simpler way to . create recipes for the feed as per nutritious value as well keep costs in check.

Understanding the Farm Operations

The setup used within the farm for mixing and dropping is that of a Mobile Mixer:

The mixer has a truck/tractor with a mixer unit attached. A loader brings the ingredients from a certain location and will drop the ingredients into this mixing unit according to the pre defined recipe in a certain proportion.

Now as the ingredients are drop inside this mixer, the scale device which is mounted on this particular mixer will register the weight of the quantity of the ingredients that is been dropped in this mixer.
Attached in the tractor is a mobile device that will actually help execute this entire process.

Competitive Analysis

We did a comprehensive competitive study to identify where our product stood in the market and identify the areas of opportunity for our application in a competitive context and analyzed applications like Onefeed and MicroTechnologies. Although the details of the competitive analysis can not be shared due to confidentiality, but after the analysis, we mapped out a SWOT chart for our application.

  • Established industry Expertize.

  • Strong Data Capabilities and integration possibilities due to existing herd management system.

Strengths

  • Limited Digital Infrastructure on Farms.

  • High learning curve for feeders

  • Extensive research for scalable and adaptible solutions

Weaknesses

  • Mobile First Approach

  • Multilingual Support

  • Connectivity capabilities.

Opportunities

  • Hardware Integration challenges

  • Resistance to change from the current manual workflow.

Threats

Understanding the Business Requirements

Some of the key business requirements were:

  • Core Feed Management Features

Creating, editing, and deleting Ingredients, Recipes, Pens, Locations, Equipments, Feedings, Users, etc.

  • Communication with a scale

Communication with a scale over a wireless connection via bluetooth.

  • Report Generation

Report cards on Feedings, Feed Errors, Feeding History, etc.

  • Inventory Management

Manage a robust ingredient-location and vendor roster to track items running out, place orders, etc.

PROBLEM STATEMENT

Defining the Problem

Based on the identified pain points, we chalked out the problem that we needed to solve-


  • How might we create a simple and intuitive feed management system for users to reduce manual effort and errors while increasing efficiency in feeding operations?

IDEATION

Design Proposals

We defined the design proposals based on the identified pain points:

Rushed and

minimal settings

Time Consuming

Feed operations

Groggy especially in the morning

Current process is manual and lead to inefficiencies.

Struggle with

inventory management

Mostly

Spanish

Speaking

Current process is error prone and innacurate

Not very educated and tech savvy

Multilingual Support

throughout

Use of visual

cues accoss

Timely alerts keep

users informed

Connectivity Status

Display

Prevention of

accidental taps

Efficient easy

to use tool

High Level Information Architecture

DESIGN SOLUTIONS

First Steps and Key Elements

We needed to make certain considerations based on the user pain points as a first. We had to be considerate about the fact that our user group wasn’t very tech savvy. They did not need complex layouts and flows. They were looking for as many elements that could decrease the cognitive overload for them.

Further, we began to design upon the VAS Design system based on the Material Design System and tailor it with the brand colours.

Carousel to display the  Load details for Pen Types 

Bottom Nav Bar for easy navigation

Extensive use of iconography throughout 

the application to aid users visually 

as the user group isn’t very well equipped

 with mobile phones and technology in general

Top status bar to display last updated 

data and connectivity status.

Cards allowing navigation to the 

section of choice

Greeting Bar with easy navigation to profile and setting menu.

A mandatory translation icon on all the screens as necessary for the particular use case.

Adjustments- Basic Navigation

The Adjustments Dashboard allowed navigation to Pens, Ingredients, Recipes, Feeding Schedules, Equipment, Inventory and Locations. Within each of the sections, is a view experience equipped with search and filter features. The user can create/edit within these sections. While they cater to different needs, the navigation flow within each of these sections are similar so as to maintain consistency.

The list of crops/ingredients that are mixed as per a selected recipe to feed the cows.

An inventory to keep a track of ingredient

stocks.

The list of created feedings (Mix) and details

of which pen they’ll be fed to.

The list of recipes according to which 

feedings are created by mixing ingredients.

The equipment, loader or mixer that is 

being used in mixing/dropping the feedings.

Location within a farm to segregate 

ingredients. 

Pen is a fenced area where cows of different types are grouped together.

Efficient Adjustments Under Time Constraints

One of the major user problems is that they often work in rushed settings and want things handy so as to reduce time at task and cognitive load. To do this, robust search, filter and sorting mechanisms have been provided with an option to pin and quickly scan through items. A typical Adjustments flow allows creation, alteration and deletion.

A robust search mechanism supported by multiple filters and sort options

There is a pinning feature to pin a card of priority.

On clicking the card, the users are directed to a view-only page to view the details of the particular pen and feedings assigned to it.

The view only page avoids any accidental errors.

Closing the view only page

Only on the click of Edit can the users edit any detail.

Only on the click of Edit can the users edit any detail.

View Pen

Inactive Pens

Filters Sheet

Edit Pen

Create Pen

Pen Dashboard

The option to view details of all the feedings assigned to this pen

The option to deactivate an item

The option to save the changes made

The iconography varies basis the status to create a clearer visual cue

The option to apply filters through a bottom sheet with options to clear selections and view the number of results

Comprehensive Multilingual Support Across the App

The users are mostly spanish speaking and need multilingual support within the application.

The option to choose a language during onboarding itself.

The option to change the language to a preferred language at any given point thought the app.

Low Inventory Alerts for Timely Re-stocking

One of the key pain points the users had was to keep track of inventory items. While manually checking it could create errors, regular updates from the application would help the users track items with regular alerts.

An alert to show how many inventory items are running low

The option to sort low inventory items

The low inventory list with colour coded tags to prioritise restocking

Displaying Connectivity Status

We ensured real-time visibility of the connectivity status and enabled users to take appropriate actions based on the feedback displayed in the connection status bar.

Scale connectivity

Status Bar

Status Bar

Based on the feedback, users can take an action like switch/reconnect and connect scale.

Feed- Basic Navigation

The Feed Dashboard allowed navigation to Feeding Schedules (Feed Operations), Batch Feedings, Weighbacks

Carousel to display the  Load details for Pen Types 

Batch feedings allows the mix(s) to be assigned in batches.

Feeding schedules enables users to view created recipes, and allows mixing of ingredients to create feed (mix) and dropping the feed into the pens.

Weighbacks displays left over feedings after a day.

Efficient Feeding Operation

The feeding schedule helps users access recipes, mix ingredients, and drop feed into pens with ease. It reduces errors, saves time, and ensures consistent feeding. Designed for busy, non-tech-savvy users, it simplifies the process for smooth farm operations.

Selected Mix Details

Selected Mix Details

Feeding Schedule Dashboard

Feedings card showing the mix name and the pens it is scheduled for.

Details of recipe according to which ingredients shall be mixed

Segmented buttons to switch between details of ingredients in the mix and the pens in which the feedings

will be dropped.

CTA to start the mix according to the assigned recipe

Mixing Flow

Mixing Flow

Dropping Flow

Dropping Flow

Feedings report upon completion of dropping

Feedings report upon completion of dropping

Recipe Name and Equipment Details

Progress bar to display the weight mixed out of the total weight of the feeding 

Overall details of the mix along with the pens  allocated 

CTA to start dropping the mix in Pens

CTA to start dropping the mix in Pens

A countdown display for showing the weight mixed out of the total weight of the current ingredient.

The current ingredient being mixed

The user can pause the mixing process at any moment.

Option to start mixing the 

next ingredient

The user can abort the mixing process at any moment.

A countdown display for showing

 the weight dropped out of the 

total weight to be dropped in the 

current pen

A card to display the Pen information 

And a button to advance drop 

to the next pen.

Progress bar to display

the weight dropped out of the total weight of the feeding 

CTA to view the detailed report card

for the mixing process

A card showing the overview of the mixing process.

Segmented buttons to switch between report details of ingredients in the mix and the pens in which the feedings

are dropped.

CTA to view the detailed report card

for the mixing process

A card showing the overview of the mixing process.

Segmented buttons to switch between details of ingredients in the mix and the pens in which the feedings

will be dropped.

CTA to start the mix according to the assigned recipe

ITERATIONS

Some iterations along the way

Based on the requirements, wireframes were created for early reviews. After incorporating the early feedbacks, a prototype was created for a round of usability study. Some older explorations-

Participants


8 users
4 feeders, 4 Feed Supervisors

Parameters


Moderated, Remote

Tasks


Create a new feed recipe.

Schedule a feed delivery.

Adjust ingredient quantities in a recipe.

Track feed inventory levels.

Execute feed drop into assigned pens.


Key Metrics


Task completion time, error rates, user satisfaction score, qualitative feedback

Key Areas of Improvement


Low stock alerts not prominent
Increasing Text size and contrast in Feeding Screen
Provision for clear actions with connectivity status alerts



Baseline Result


Task Completion rate- 75%

Average Task Time- 6 Minute per task

Error Rate- 18%

User Satisfaction- 6.5/10



Insights from the First Usability Testing

CHALLENGES

Challenges and Reflections

  • Designing VAS FeedNext as a completely new feed management system came with its own set of challenges. One of the biggest hurdles was understanding the complex workflows of dairy farm operations and ensuring that the system seamlessly fit into their existing processes.


  • A major challenge was designing for users with varying levels of tech familiarity—feeders who work in rushed conditions, are often not tech-savvy, and need a system that is both simple and efficient. The interface had to support multiple languages, be intuitive enough to minimize errors, and require minimal training.


  • Additionally, balancing business needs with user needs required careful prioritization. While we envisioned several advanced features, we had to focus on delivering core functionalities first, ensuring a solid foundation for future enhancements.


My learnings:

Through this project, my biggest learning was how to design for a highly specialized industry while keeping usability at the core. Creating a system for users who are always on the move, work under time constraints, and may not be tech-savvy meant simplifying interactions without losing functionality. It reinforced the importance of designing with empathy—understanding user behaviors, constraints, and priorities to create a solution that truly works for them.

IMPACTS

Validations

Multiple rounds of usability testing were conducted to evaluate the effectiveness of the new VAS FeedNext design. These tests helped us refine the system to ensure it met the needs of feeders and supervisors while improving overall efficiency.:


  • The time taken to create and drop a feed mix into pens was reduced significantly, streamlining the feeding process for farm workers. There was a reduction by nearly 90%.


  • Overall user satisfaction improved, with feeders finding the system easier to navigate and requiring less training, addressing the challenges of a rushed and non-tech-savvy work environment. The rate increased by nearly 94% improvement.

NEXT STEPS

Future Explorations

  • AI-Driven UX – Implement AI-powered recommendations for seamless feed management.


  • Advanced Insights – Enhance dashboards with deeper analytics for better decision-making.


  • Sound cues- Introduce sound cues in notifications to make alerts more noticeable in fast-paced or busy environments.

Made with love and a little experimentation on Framer.

© 2026 All rights reserved.

Made with love and a little experimentation on Framer.

© 2026 All rights reserved.

Made with love and a little experimentation on Framer.

© 2026 All rights reserved.