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Partnership · Product Design · UI/UX

Simplifying Tractor In-Cab Displays

Cutting cognitive load in John Deere's tractor interface so operators spend less time fighting menus and more time in the field.

Duration
6 weeks
Team
5 members
My Role
UX Researcher & Designer
Partner
John Deere UX Team
Focus Areas
Layout Manager, Help System
(01)   The challenge

The Challenge

John Deere's in-cab displays were getting in the way during real farm work. The Layout Manager was barely being used. The Help Center wasn't answering the questions operators actually had, so they lost time and got frustrated trying to set things up.

14
Steps to customize layout
Low
Layout Manager adoption
High
User frustration levels
(02)   Research

Research Methodology

How we built the research

We started with John Deere's UX team to map the issues they were already tracking, then ran research with farmers at Iowa State University to confirm what was real and find what they'd missed.

Step 01

Stakeholder Interviews

Met with the John Deere UX lead to map current system limitations and business constraints.

Step 02

User Interviews

Ran 5 interviews with farmers across novice to expert experience levels.

Step 03

Task Analysis

Walked through 3 core operator tasks to find the worst workflow bottlenecks.

Step 04

Usability Testing

Tested current vs. proposed designs and measured the gap with NASA TLX and Likert scores.

(03)   Findings

Key Research Findings

Issue #1

Complex Customization

The 14-step flow to customize a homepage and set up widgets was painful enough that most operators gave up on personalization entirely.

Issue #2

Deep Navigation

"Run Pages" setup was buried behind deep menu layers, so even simple customization felt like work.

Issue #3

Safety Concerns

Deletion flows had no real warnings, so operators could lose configuration data with a single misplaced tap.

"The screen becomes almost unusable during sunny days when I'm working in the field. The brightness issue combined with the complex menus makes it really frustrating to use."

Full-time farmer, user interview

(04)   User persona

User Persona

Theo Thompson

Theo Thompson, 56

Farmer

Background

An experienced farmer and technician with hands-on agricultural knowledge.

"Customization is huge... because when you're so used to it, you just realize that like this is how this doesn't work."
Needs
  • Run planting and harvesting tasks from the tractor's display without fighting the UI
  • See real-time data while monitoring ongoing operations
  • An interface that fits the range of jobs he does in a season
Motivations
  • Get more done by managing and monitoring tasks in real-time
  • Use time, labor and materials efficiently to keep costs down
  • Make data-driven decisions that improve crop yield and quality
Frustrations
  • Re-entering the same data every time he sets up a new equipment profile
  • Having to retype implement details whenever he swaps gear
  • Customizing the interface is harder than it should be
(05)   Wireframing

Wireframing

John Deere wireframes
Fig 1. Low-fidelity wireframes for the layout manager and help system
(06)   Solutions

Design Solutions

Enhanced help system
Solution #1

Enhanced Help System

Swapped text-heavy documentation for a visual "Help Guide" and QR-code "Video Tutorials" that operators can pull up without leaving the task they're on.

60% Faster help access
Solution #2

Streamlined Run Page Creation

Cleaned up the dashboard setup flow with clearer buttons and contextual tips. Configuration dropped from 14 clicks to 8.

43% Reduction in steps
Streamlined run page creation
Page set management
Solution #3

Intuitive Page Set Management

Added multi-select and direct controls like "Set as Active" so operators can organize page sets without re-learning the menu each time.

50% Faster organization
(07)   Testing

Usability Testing Results

Quantitative Validation Using NASA TLX

We tested the current interface against our proposed design using the NASA Task Load Index and Likert scales, so the improvement wasn't a vibe check.

41%
Reduction in mental demand · 7.3 → 4.3
49%
Reduction in effort required · 5.3 → 2.7
9%
Reduction in frustration · 3.3 → 3.0
16%
Improved usability · 3.7 → 4.3
(08)   Impact

Impact & Business Value

The redesign backed up our hypothesis that simpler menus and a better help system would make operators more efficient. The metrics that matter for day-to-day farm work moved in the right direction.

Key Business Outcomes

  • 41% decrease in mental demand, which lowers operator fatigue on long shifts
  • Stronger safety protocols from clearer deletion warnings and confirmation flows
  • Faster onboarding using visual help guides instead of static documentation

Design System Principles Established

Principle #1

Progressive Disclosure

Complex functions sit behind simple, contextual entry points so operators only see what they need.

Principle #2

Visual Hierarchy

Information architecture, spacing, and typography stay consistent so the screen is scannable at a glance.

Principle #3

Contextual Help

Help comes through QR codes and visual guides at the moment it's needed, not buried in a manual.

Key Learnings

  • Industrial UX is about balancing feature depth with operational simplicity
  • Environmental factors like sunlight and vibration change what "usable" actually means in the cab
  • Standardized metrics like NASA TLX give design decisions evidence stakeholders trust
  • Working closely with engineering kept the solutions feasible inside Deere's existing system