Gyan%
Portfolio · 2026
6 MIN READ

IoT & Agritech

Sensor Dials Any Farmer Can Read at a Glance

Redesigned sensor dials to turn raw telemetry into clear, at-a-glance readings for 50k+ farmers.

Problem & Solution

The Challenge: Farmers couldn't tell what their sensor readings meant. Dials were too small and the colors too similar, so instead of acting on the data, they called support. The problem was worse for older farmers and those less familiar with smartphones, but it affected everyone. The Fix: I simplified the sensor dials: three clear states instead of five, larger for outdoor legibility, and "Last Updated" timestamps so farmers knew the reading was current. Raw telemetry became something a farmer could glance at and trust.

Impact

The redesign delivered clear results: 90% of farmers said sensor data was easier to read, support tickets dropped 80%, and 73% engaged with Contextual Help. Making data readable is what unlocks action.

Focus Areas

Complex SystemsData VisualizationIoT & AgriTechRemote Monitoring

Tools Used

Adobe After EffectsFigmaGoogle DocsGoogle SheetsUseberry

About Fasal App

Fasal puts IoT sensors and AI to work on the farm, turning humidity, soil moisture, and temperature readings into plain-language guidance. It tells farmers exactly when to irrigate and how to protect their crops, in the language they speak.

01Design Process

01

DISCOVERY

Analysis & Field Visit

Visited farms to watch farmers use the app live, mapping exactly where dials caused confusion.

02

IDEATION

Ideation & Design

Explored dial and bar designs, testing how size and color changes affected outdoor readability.

03

EXECUTION

Prototyping & Testing

Built interactive prototypes and tested them with farmers in the field via Useberry.

04

REFINEMENT

Feedback Implementation

Applied farmer feedback to the final design: animations, simplified states, clearer labels.

02Field Discovery

We started with internal stakeholder interviews, then visited farms across multiple regions. The same pattern kept appearing: farmers squinting at their phones, misreading sensor states because the colors were too similar and the dials too small. A small misread leads to a wrong crop decision and then a support call.

On-site Interview
On-site Interview
IoT Device in Field
IoT Device in Field
Selfie with Farmer
Selfie with Farmer

Internal Narrative

Stakeholder Feedback

SALE

Sales team reported frequent complaints from farmers about difficulty reading sensor dials and understanding optimum ranges.

CSE

Customer success team noted an increase in support tickets related to misinterpreting dial readings and values.

CSE

Both teams observed that older farmers particularly struggled with the small size and visual density of the legacy dials.

SALE

Dial usability issues were becoming a barrier to new customer acquisition during field demos.

Field Insights

Farmer Voice

"Mujhe chhote dial par rang samajhne mein dikkat hoti hai."

I have difficulty understanding colors on the small dial.

"Dial ke rang aur uske matlab mein confusion hota hai."

There's confusion between the dial's color and its meaning.

"Bade dial hote toh shayad behtar samajh aata."

If the dials were larger, maybe I could understand better.

"Kabhi kabhi to main dial ko ignore hi kar deta hoon kyunki samajh nahi aata."

Sometimes I just ignore the dial because I can't understand it.

Misinterpretation Rate
15%

15% of all support tickets were linked directly to confusion over sensor values or parameter meanings.

User Dissatisfaction
65%

65% of surveyed users expressed negative sentiment regarding dial size and color density.

03Issues on Hand

Our research identified eight friction points that directly impact how farmers interact with and trust sensor data, ranging from immediate visual readability to deeper contextual understanding.

The original dial: five colors, tiny scale, nearly unreadable outdoors
CLICK TO VIEW

The original dial: five colors, tiny scale, nearly unreadable outdoors

  • 01
    No data sync info: Farmers couldn't tell if they were looking at this morning's data or yesterday's.
  • 02
    No contextual information: Farmers didn't know why each sensor mattered for their crop. Without that context, numbers were just numbers.
  • 03
    Small dial size: The dials were too small to read clearly, especially outdoors in sunlight, on a small screen.
  • 04
    Poor color scheme: Five colors crammed into a small arc made it nearly impossible for farmers, especially older ones, to know at a glance what was normal and what was not.
  • 05
    Inconsistent placement: Dial positions varied screen to screen, making it hard for farmers to quickly locate and compare readings.
  • 06
    No visual priority: Everything looks the same weight, so nothing stands out. Farmers can't spot what needs attention without reading every line.
  • 07
    Inconsistent patterns: Buttons, labels, and layouts vary across screens, making the app harder to learn.
  • 08
    Wasted space: The layout uses far more screen area than it needs, especially on small phones in the field.

04Goals & Constraints

Field visits made the priorities clear: readable for every farmer, regardless of age or tech comfort. The constraints were just as real: screen space, brand guidelines, and backend compatibility. Both shaped every decision.

GOAL

01

Increased dial size

Larger dials, readable at arm's length outdoors, especially for farmers with visual impairments or lower tech literacy.

GOAL

02

Improved color scheme

Reduce colors from 5 to 3, making it easier for farmers to know at a glance which reading needs attention.

GOAL

03

Visual consistency

The redesigned dials should look and feel like they belong to the same app, not a late addition.

GOAL

04

Reduced support load

Improving readability should directly reduce support tickets raised for sensor misinterpretation.

GOAL

05

Prominent placement

Consistent positioning across all screens so farmers can find and compare readings at a glance.

GOAL

06

Easy to learn without training

A first-time farmer should understand what they're looking at with no explanation needed.

CONSTRAINT

01

While increasing the size of the dials was necessary, we had to balance this with maintaining an efficient use of screen space.

CONSTRAINT

02

The color palette had to be carefully chosen to ensure accessibility while staying within brand guidelines.

CONSTRAINT

03

Any changes to the sensor dials needed to be compatible with existing backend systems to avoid extensive redevelopment.

05Ideation & Design

We explored a range of dial designs, testing size, color systems, and outdoor readability, then narrowed to the strongest options for review with the Head of Product and Product Lead.

Exploring color differentiation and scale accessibility
CLICK TO VIEW

Exploring color differentiation and scale accessibility

06Final Design

We built two options: horizontal sensor bars (unfamiliar but potentially clearer) and improved dials (familiar, but redesigned). Testing both gave us a real answer, not an assumption, about what farmers actually preferred.

Design Options

01 / 02
Sensor Bars
CLICK TO EXPAND

Sensor Bars

  • 01We redesigned the sensor display using horizontal bars instead of traditional dials.
  • 02Designed to use screen space more efficiently and make readings clearer at a glance.
  • 03We introduced a "Learn More" option for each sensor, providing detailed information on its importance for crop health and growth.
  • 04Used clear color coding and visual cues to make readings instantly distinguishable.
  • 05Large enough to read clearly outdoors, for farmers of all ages and tech comfort levels.

07Prototyping and User Testing

With both designs ready, we built interactive prototypes and ran a structured usability test in Useberry, watching farmers use the app live and tracking exactly where they hesitated.

GOAL

01

Usability & Intuition

Find out if the new designs were genuinely easy to use

GOAL

02

User Preference

Settle the bars-vs-dials question with real farmer input

GOAL

03

Audio Effectiveness

Test whether bigger, clearer dials actually helped farmers read faster

GOAL

04

Experience Feedback

Surface any confusion or friction before the design shipped

GOAL

05

Problem Validation

Confirm we had actually solved the problems we set out to fix

08Key findings

User Preference Distribution
79% PREFER DIALS (45)
21% PREFER BARS (12)
Dials Rationale

Farmers cited familiarity with analog machinery (tractors) and improved glanceability in bright sunlight as primary factors.

Bars Rationale

A small segment found vertical bars easier for comparing multiple sensor readings side-by-side during deep analysis.

N=57 (12 In-Person • 45 Remote) Study: Useberry Analytics
  • 01
    Familiarity builds confidence: Farmers recognized the dial immediately, comparing it to tractor gauges. The familiarity made the redesign feel trustworthy from the start.
  • 02
    Bar design advantage: Farmers who preferred bars liked that the color indicator sat right next to the value, fewer steps to read.
  • 03
    Overall ease of understanding: Farmers found both options easy to comprehend, with preference mainly based on visual appeal.
  • 04
    The static problem: Farmers are used to watching dials move, like tractor gauges and speedometers. A still dial felt dead. We added a sweep animation on load so farmers could see the dial settle on its current reading, confirming the data was live.

09Feedback implementation

User testing pointed to clear improvements. First: a sweep animation on dial load, a visual cue that the reading is live, not static.

Sensor dial sweep animation demonstrating active monitoring

The result: sensor dials any farmer can read at a glance, outdoors, on a small screen, at any literacy level. Not just better-looking, but genuinely clearer.

10Impact

01
90%

Easier to Read

Farmers said sensor readings were easier to understand, especially outdoors.

02
-80%

Fewer Support Tickets

Tickets dropped from 50 to 10 per week once farmers could read the dials themselves.

03
73%

Contextual Help Used

Nearly 3 in 4 farmers explored the contextual help. They wanted to understand the data, not just see it.

11Way Forward

  • 01
    Richer contextual help: Add short videos alongside text guides, formats that work across all literacy levels.
  • 02
    Stay close to farmers: Schedule quarterly farm visits and in-app feedback cycles to catch new friction early.
  • 03
    Track what matters: Monitor dial interaction time and support ticket themes to catch the next friction point before it grows.
  • 04
    Iterate on evidence: Use field data, not assumptions, to drive the next round of improvements.