Teri Tesla App
Teri is a third party iOS app for Tesla owners. As a freelance engagement, I joined as the sole designer to pivot the product from a passive data-tracker to an intelligent maintenance companion. By humanizing complex battery metrics and designing context-aware automation, I established a "Utility-First" framework designed to solve long-term subscription churn and market fragmentation.
Team
Developers, Founder
Timeline
2025
Role
Solo Product Designer (End-to-end)
The Business Challenge
The primary challenge in the third-party Tesla app market is subscription retention. Most products suffer from "The Dashboard Trap" where users subscribe for the novelty of raw telemetry but cancel once that initial curiosity plateaus.
The Insight
In user interviews, I found that raw telemetry without context creates monitoring fatigue. A general user might see their health drop by 2%, but they don't know if that’s a normal part of the vehicle's lifecycle or a result of bad habits. Because they don't understand the "rules" of battery science, the data feels like a source of stress rather than a tool.
The Value Shift
I realized that the app’s long-term value wasn't in counting the miles lost, but in delaying that loss. While users eventually stop checking "live voltage," they never stop caring about the health and resale value of their vehicle. I shifted the focus from displaying metrics to influencing habits.
The Solution
I pivoted the product roadmap from a passive monitoring dashboard to an intelligent maintenance companion. By providing actionable guidance, the app coached users on specific charging habits and environmental protection and transitioned from a nice-to-have tracker to an essential tool for slowing battery degradation.
The Business Challenge
The primary challenge in the third-party Tesla app market is subscription retention. Most products suffer from "The Dashboard Trap" where users subscribe for the novelty of raw telemetry but cancel once that initial curiosity plateaus.
The Insight
In user interviews, I found that raw telemetry without context creates monitoring fatigue. A general user might see their health drop by 2%, but they don't know if that’s a normal part of the vehicle's lifecycle or a result of bad habits. Because they don't understand the "rules" of battery science, the data feels like a source of stress rather than a tool.
The Value Shift
I realized that the app’s long-term value wasn't in counting the miles lost, but in delaying that loss. While users eventually stop checking "live voltage," they never stop caring about the health and resale value of their vehicle. I shifted the focus from displaying metrics to influencing habits.
The Solution
I pivoted the product roadmap from a passive monitoring dashboard to an intelligent maintenance companion. By providing actionable guidance, the app coached users on specific charging habits and environmental protection and transitioned from a nice-to-have tracker to an essential tool for slowing battery degradation.
Education Through Action
Data is only valuable if it triggers a change in behavior. I designed a system that moves beyond passive reporting to provide personalized, actionable coaching that translates abstract battery science into clear driver habits.
Isolating the "Why"
Instead of just showing a loss in range, I isolated the specific factors—like Environment or Charging Habits—that are impacting that specific car. By identifying the cause, we remove the mystery of degradation.
The Actionable Nudge
I moved from "showing" to "guiding." For example, if the system detects that Supercharging makes up 45% of sessions (above the 20% limit), the UI doesn't just flag it—it provides a clear next step: "Try switching to home charging".
Maintenance Agency
By providing a specific "How to Maintain" guide tailored to the user's climate and style, we give them agency over their car's lifespan. The user moves from a passive observer to an active participant in their car's health.
Education Through Action
Data is only valuable if it triggers a change in behavior. I designed a system that moves beyond passive reporting to provide personalized, actionable coaching that translates abstract battery science into clear driver habits.
Isolating the "Why"
Instead of just showing a loss in range, I isolated the specific factors—like Environment or Charging Habits—that are impacting that specific car. By identifying the cause, we remove the mystery of degradation.
The Actionable Nudge
I moved from "showing" to "guiding." For example, if the system detects that Supercharging makes up 45% of sessions (above the 20% limit), the UI doesn't just flag it—it provides a clear next step: "Try switching to home charging".
Maintenance Agency
By providing a specific "How to Maintain" guide tailored to the user's climate and style, we give them agency over their car's lifespan. The user moves from a passive observer to an active participant in their car's health.
Proactive Context
Most Tesla apps, including the official one, rely on a static control panel. While functional, this requires the user to manually hunt through menus to find what they need for a specific moment. I challenged this by adding a Predictive Layer above the standard controls to eliminate interaction friction.
The Shift to Passive Utility - Environment Sensing
Instead of a fixed list of buttons, I designed the panel to notice the environment. If the temperature drops below 28°F, the system automatically promotes battery and cabin warming to the primary UI layer. This ensures that critical maintenance tasks are surfaced exactly when they are needed most.
Building Trust through Anticipation - Pattern Recognition
The system monitors for recurring manual actions and built to learn routines. Once a pattern is detected, such as pre-heating the car at 7:00 AM on workdays, the app proactively offers a "One-Tap Automation". This moves the user from a state of manual management to one of system reliance.
The Value
This transition from "managing a tool" to "relying on a partner" creates a level of daily indispensability. By making the app an active participant in the driving experience, we fundamentally solve the retention problem by making the subscription a core part of the user's morning routine.
Proactive Context
Most Tesla apps, including the official one, rely on a static control panel. While functional, this requires the user to manually hunt through menus to find what they need for a specific moment. I challenged this by adding a Predictive Layer above the standard controls to eliminate interaction friction.
The Shift to Passive Utility - Environment Sensing
Instead of a fixed list of buttons, I designed the panel to notice the environment. If the temperature drops below 28°F, the system automatically promotes battery and cabin warming to the primary UI layer. This ensures that critical maintenance tasks are surfaced exactly when they are needed most.
Building Trust through Anticipation - Pattern Recognition
The system monitors for recurring manual actions and built to learn routines. Once a pattern is detected, such as pre-heating the car at 7:00 AM on workdays, the app proactively offers a "One-Tap Automation". This moves the user from a state of manual management to one of system reliance.
The Value
This transition from "managing a tool" to "relying on a partner" creates a level of daily indispensability. By making the app an active participant in the driving experience, we fundamentally solve the retention problem by making the subscription a core part of the user's morning routine.
Impact
This work reframed the Tesla ownership experience as a managed relationship between human and machine. By designing for Data Literacy and Contextual Awareness, we created a unique market position that justifies a premium subscription and builds genuine confidence over the lifetime of the vehicle.
40%
Projected Churn Reduction
By shifting from a "tracker" to an essential maintenance guide.
4.8
User Validation Score
4.8 / 5.0 Average satisfaction score from high-fidelity prototype testing.
92%
Stakeholder Buy-In
Secured full Q2 2025 funding by proving "Utility-First" retention.
Impact
This work reframed the Tesla ownership experience as a managed relationship between human and machine. By designing for Data Literacy and Contextual Awareness, we created a unique market position that justifies a premium subscription and builds genuine confidence over the lifetime of the vehicle.
40%
Projected Churn Reduction
Projected impact of the Phase 2 roadmap on monthly subscriber retention.
4.8
User Validation Score
4.8 / 5.0 Average satisfaction score from high-fidelity prototype testing.
92%
Stakeholder Buy-In
Secured full Q2 2025 funding by proving "Utility-First" retention.
Takeaway
Long-term retention comes from genuine utility that compounds over time. Make complex things understandable. Automate the routine, surface the important. Design for the person who just wants it handled AND the person who wants full control.
Takeaway
Long-term retention comes from genuine utility that compounds over time. Make complex things understandable. Automate the routine, surface the important. Design for the person who just wants it handled AND the person who wants full control.
Takeaway
Long-term retention comes from genuine utility that compounds over time. Make complex things understandable. Automate the routine, surface the important. Design for the person who just wants it handled AND the person who wants full control.
Other Cases
Other Cases
