Improving Comprehension & Navigation of Smart Thermostat

I led the redesign of Vivint's app and panel

thermostat experience to support the broader strategy of modernizing to better support new energy features, including demand response.

2025 | Lead Product Designer

Improving Comprehension & Navigation of Smart Thermostat

I led the redesign of Vivint's app and panel

thermostat experience to support the broader strategy of modernizing to better support new energy features, including demand response.

2025 | Lead Product Designer

Improving Comprehension & Navigation of Smart Thermostat

I led the redesign of Vivint's app and panel thermostat experience to support the broader strategy of modernizing to better support new energy features, including demand response.

2025 | Lead Product Designer

Challenge

Challenge

Challenge

After NRG acquired Vivint, the organization set out to dramatically scale thermostat adoption to support grid-level demand response. This created two parallel initiatives:

  • A short-term effort to reuse existing hardware with new software (Codename: Titan)

  • A long-term effort to design a best-in-class thermostat that preserved Vivint’s premium brand and competed at the top of the market (Codename: Pegasus)

This case study focuses on Titan.

Users needed a thermostat that made sense no matter the touchpoint & allowed them to access the information and features they needed for a comfortable home.

After NRG acquired Vivint, the organization set out to dramatically scale thermostat adoption to support grid-level demand response. This created two parallel initiatives:

  • A short-term effort to reuse existing hardware with new software (Codename: Titan)

  • A long-term effort to design a best-in-class thermostat that preserved Vivint’s premium brand and competed at the top of the market (Codename: Pegasus)

This case study focuses on Titan.

Users needed a thermostat that made sense no matter the touchpoint & allowed them to access the information and features they needed for a comfortable home.

After NRG acquired Vivint, the organization set out to dramatically scale thermostat adoption to support grid-level demand response. This created two parallel initiatives:

  • A short-term effort to reuse existing hardware with new software (Codename: Titan)

  • A long-term effort to design a best-in-class thermostat that preserved Vivint’s premium brand and competed at the top of the market (Codename: Pegasus)

This case study focuses on Titan.

Users needed a thermostat that made sense no matter the touchpoint & allowed them to access the information and features they needed for a comfortable home.

Design Solution

Design Solution

Design Solution

Rather than redesigning the app in isolation, I focused on unifying the entire thermostat experience around a single mental model.

The redesign centered on 4 principles:

Rather than redesigning the app in isolation, I focused on unifying the entire thermostat experience around a single mental model.

The redesign centered on 4 principles:

Rather than redesigning the app in isolation, I focused on unifying the entire thermostat experience around a single mental model.

The redesign centered on 4 principles:

One thermostat, one mental model

One thermostat, one mental model

One thermostat, one mental model

Recognition over recall

Recognition over recall

Recognition over recall

Visibility of system status

Visibility of system status

Visibility of system status

Strong affordance

Strong affordance

Strong affordance

Impact

Impact

Impact

Users now navigate between thermostats dramatically faster and recognize system status intuitively

  • 85% → 100% task success when switching thermostats

  • 9 sec → 3 sec average time to switch between thermostats

  • 14x improvement in spontaneous recognition of HVAC system status (5% → 72%)

Users now navigate between thermostats dramatically faster and recognize system status intuitively

  • 85% → 100% task success when switching thermostats

  • 9 sec → 3 sec average time to switch between thermostats

  • 14x improvement in spontaneous recognition of HVAC system status (5% → 72%)

  • Time on task reduced from 52seconds to 17seconds (67% reduction) in user tests

  • Task success rate increased from 50% to 98% in user tests

  • Enables Vivint to compete at the top of the market with brands such as Ecobee and Nest

  • Predicted increased purchase intent and customer lifetime value

By making the interaction model of the app match the hardware and replacing the hidden entrypoint to view additional thermostats with a landing dashboard showing all thermostats in the home, users immediately understood how to interact, where they were, and where they wanted to go.

By making the interaction model of the app match the hardware and replacing the hidden entrypoint to view additional thermostats with a landing dashboard showing all thermostats in the home, users immediately understood how to interact, where they were, and where they wanted to go.

By making the interaction model of the app match the hardware and replacing the hidden entrypoint to view additional thermostats with a landing dashboard showing all thermostats in the home, users immediately understood how to interact, where they were, and where they wanted to go.

Process

Process

Foundational Research

Foundational Research

Foundational Research

Design Exploration

Design Exploration

Design Exploration

Usability Testing

Usability Testing

Usability Testing

Design Refinement

Design Refinement

Design Refinement

Development

Development

Development

Foundational Research Insights

Foundational Research Insights

Foundational Research Insights

I partnered with our research team to conduct foundational research to understand how users perceive and interact with thermostats in their homes. These insights informed my design principles.

I partnered with our research team to conduct foundational research to understand how users perceive and interact with thermostats in their homes. These insights informed my design principles.

I partnered with our research team to conduct foundational research to understand how users perceive and interact with thermostats in their homes. These insights informed my design principles.

Controlling the same thermostat felt different depending on where the user interacted with it

Controlling the same thermostat felt different depending on where the user interacted with it

Controlling the same thermostat felt different depending on where the user interacted with it

The physical thermostat had been carefully designed around straightforward directional interactions. The app, meanwhile, borrowed visual and interaction patterns from another brand entirely. That inconsistency increased cognitive effort every time someone moved between the wall and the app.

The physical thermostat had been carefully designed around straightforward directional interactions. The app, meanwhile, borrowed visual and interaction patterns from another brand entirely. That inconsistency increased cognitive effort every time someone moved between the wall and the app.

The physical thermostat had been carefully designed around straightforward directional interactions. The app, meanwhile, borrowed visual and interaction patterns from another brand entirely. That inconsistency increased cognitive effort every time someone moved between the wall and the app.

Schedule feature is hidden in settings

Clarity of UI & architecture

Clarity of UI & architecture

Customers purchased smart thermostats expecting to automate their home comfort with schedules. However, many users assumed Vivint simply did not support schedules because they never discovered it in settings.

Customers purchased smart thermostats expecting to automate their home comfort with schedules. However, many users assumed Vivint simply did not support schedules because they never discovered it in settings.

Customers purchased smart thermostats expecting to automate their home comfort with schedules. However, many users assumed Vivint simply did not support schedules because they never discovered it in settings.

Full screen color takeover is valuable


Situationally responsive info

Situationally responsive info

Participants appreciated the ability to immediatley recognize the status of their HVAC from the color of their thermostat tab background.

Participants appreciated the ability to immediatley recognize the status of their HVAC from the color of their thermostat tab background.

Participants appreciated the ability to immediatley recognize the status of their HVAC from the color of their thermostat tab background.

Design Exploration

Design Exploration

Design Exploration

Design exploration was informed by foundational research and refined through multiple design reviews.

Design exploration was informed by foundational research and refined through multiple design reviews.

Design exploration was informed by foundational research and refined through multiple design reviews.

Weekly design reviews with the Vivint Innovation Design Team. A breadth of options were explored before settling on the final design.

Weekly design reviews with the Vivint Innovation Design Team. A breadth of options were explored before settling on the final design.

Usability Testing

Usability Testing

Usability Testing

To validate whether the redesign improved usability rather than just modernizing the visual design, I worked with a research partner to run a comparative usability study of the legacy thermostat app experience and the redesign.

To validate whether the redesign improved usability rather than just modernizing the visual design, I worked with a research partner to run a comparative usability study of the legacy thermostat app experience and the redesign.

To validate whether the redesign improved usability rather than just modernizing the visual design, I worked with a research partner to run a comparative usability study of the legacy thermostat app experience and the redesign.

New UX

New UX

New UX

Legacy UX

Legacy UX

Legacy UX

Methodology

Methodology

Methodology

30 participants completed the same core tasks in both versions, including switching between thermostats and interpreting HVAC status. To reduce order bias, the experience order was randomized.

30 participants completed the same core tasks in both versions, including switching between thermostats and interpreting HVAC status. To reduce order bias, the experience order was randomized.

Participants were asked to attempt the same 7 core tasks on each thermostat.

The study measured

The study measured

The study measured

  • Task success

  • Time on task

  • Ease of use

  • Comprehension of thermostat mode and HVAC activity

  • Ability to locate the Schedule and additional thermostats

  • Task success

  • Time on task

  • Ease of use

  • Comprehension of thermostat mode and HVAC activity

  • Ability to locate the Schedule and additional thermostats

  • Task success

  • Time on task

  • Ease of use

  • Comprehension of thermostat mode and HVAC activity

  • Ability to locate the Schedule and additional thermostats

For comprehension, participants were not directly asked about thermostat activity. Instead, they were asked to describe what they were seeing on each screen. Responses were then coded for whether participants spontaneously and correctly identified thermostats mode and activity. This approach measured whether the interface itself offered intuitive system status, rather than whether users could answer a leading question.

For comprehension, participants were not directly asked about thermostat activity. Instead, they were asked to describe what they were seeing on each screen. Responses were then coded for whether participants spontaneously and correctly identified thermostats mode and activity. This approach measured whether the interface itself offered intuitive system status, rather than whether users could answer a leading question.

To reduce learning effects and bias

To reduce learning effects and bias

To reduce learning effects and bias

  • Task order was randomized per participant

  • Experience testing order was randomized per participant

  • Task order was randomized per participant

  • Experience testing order was randomized per participant

  • Task order was randomized per participant

  • Experience testing order was randomized per participant

This structure allowed us to measure performance, expectation versus reality, comprehension, and perceived usability.

This structure allowed us to measure performance, expectation versus reality, comprehension, and perceived usability.

This structure allowed us to measure performance, expectation versus reality, comprehension, and perceived usability.

Results

Results

Results

In the legacy expirience, only 5% of participants naturally described the correct mode and HVAC activity. In the new experience, 72% naturally described the correct mode and HVAC activity.

In the legacy expirience, only 5% of participants naturally described the correct mode and HVAC activity. In the new experience, 72% naturally described the correct mode and HVAC activity.

In the legacy expirience, only 5% of participants naturally described the correct mode and HVAC activity. In the new experience, 72% naturally described the correct mode and HVAC activity.

In the legacy expirience, only 85% of participants successfully found another thermostat, in an average of 9 seconds. In the new experience, 100% of participants successfully navigated between thermostats, in an average of 3 seconds.

In the legacy expirience, only 85% of participants successfully found another thermostat, in an average of 9 seconds. In the new experience, 100% of participants successfully navigated between thermostats, in an average of 3 seconds.

In the legacy expirience, only 85% of participants successfully found another thermostat, in an average of 9 seconds. In the new experience, 100% of participants successfully navigated between thermostats, in an average of 3 seconds.

Design Refinement

Design Refinement

Design Refinement

Colors were refined with new brand colors. Spacing was refined on the controls screens. Hierarchy and layout of cards were refined, as well as updated language "cooled to 65º" became "currently 65º" for clarity. A large size card was introduced for accessibility and preference.

Colors were refined with new brand colors. Spacing was refined on the controls screens. Hierarchy and layout of cards were refined, as well as updated language "cooled to 65º" became "currently 65º" for clarity. A large size card was introduced for accessibility and preference.

Colors were refined with new brand colors. Spacing was refined on the controls screens. Hierarchy and layout of cards were refined, as well as updated language "cooled to 65º" became "currently 65º" for clarity. A large size card was introduced for accessibility and preference.

Why this works

Why this works

Why this works

Unified interaction model from device to hub to app

Unified interaction model from device to hub to app

Unified interaction model from device to hub to app

Clear system status

Clear system status

Clear system status

Users can find the Schedule feature

Users can find the Schedule feature

Users can find the Schedule feature

High affordance for navigation and feature discovery

High affordance for navigation and feature discovery

High affordance for navigation and feature discovery

Release schedule

Release schedule

Release schedule

Alpha: April 2025

Alpha: April 2025

Alpha: April 2025

Beta: May 2025

Beta: May 2025

Beta: May 2025

General availability: June 2025

General availability: June 2025

General availability: June 2025

Jenny Eckles 2026

Jenny Eckles 2026