Gabriel Valdivia

Slingshot AI

Slingshot AI

Slingshot AI

Slingshot AI

Slingshot's mission is to develop first-of-its-class AI models for mental health. I worked with the founders and engineering team to design and launch their first consumer product, Ash: a voice-based AI therapist that brings mental health to anyone with a mobile phone. The app uses natural language to simulate therapy sessions with a trained professional over voice and text.

Team

Neil Parikh

Daniel Reid Cahn

Kristian Freed

Guilherme Freire

Sebastian Martinez

+5
Services
Product Design
Product Design
Web Design
Web Design
Pitch Deck
Pitch Deck
Date

Feb — Apr '24 (10 weeks)

Onboarding

The goal of the app's onboarding was to collect the relevant data for Ash to understand how to best help each user. After several explorations, we landed on a small survey that quickly jumped users into the first session with their coach.

Onboarding

The goal of the app's onboarding was to collect the relevant data for Ash to understand how to best help each user. After several explorations, we landed on a small survey that quickly jumped users into the first session with their coach.

Onboarding walkthtough

Session duration

The team wanted to encourage 15 minute sessions with Ash and a natural way to wrap up each session. However, a countdown clock felt stressful in this context. I explored a few ways to represent the passage of time without relaying on a countdown clock.


Session duration

The team wanted to encourage 15 minute sessions with Ash and a natural way to wrap up each session. However, a countdown clock felt stressful in this context. I explored a few ways to represent the passage of time without relaying on a countdown clock.


Modalities

The Slingshot team was ahead of its time exploring multi-modalities when interacting with LLMs. The goal was to support text, tap-to-speak, and hands-free audio to encourage natural and convenient ways to interact with your AI coach.

Modalities

The Slingshot team was ahead of its time exploring multi-modalities when interacting with LLMs. The goal was to support text, tap-to-speak, and hands-free audio to encourage natural and convenient ways to interact with your AI coach.

Using a single button to communicate 3 states: idle, listening, and thinking

Early exploration of a more stark speaking (light) and listening (dark) states

Demo of switching between 3 modalities: tap to speak, hands-free audio, and text

Website

For Ash's website, we focused on finding imagery that conveyed the feeling of using the product. I explored a few different illustration styles but ultimately landed on a more abstract visual treatment.

Website

For Ash's website, we focused on finding imagery that conveyed the feeling of using the product. I explored a few different illustration styles but ultimately landed on a more abstract visual treatment.

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