Fitfire is a fitness app conceived by Jeremy Aronson and designed by Stefan Skripak
"The workout tools that currently exist may provide extensive exercise tracking tools, but fail to hit the right levers nudging users towards ongoing commitment. In response to this perceived need, FitFire will apply concepts of behavioral psychology to motivate satisfying long-term use. By providing vibrant visual feedback and facilitating partner workouts, FitFire will make it easy to develop effective, ongoing exercise habits."
From the beginning of the design process, the "My Body" tab was imagined as the core of the FitFire app. It is where a user's progress is depicted in an easy-to-comprehend and motivating way.
The "Track Workout" tab is meant to offer a simple, intuitive way of documenting each exercise without interrupting the flow of a workout. This tool started with a single idea: a gesture based input system that would allow for each set of a workout to be input with a single swipe.
These are the first sketches of this gesture system. Touching a finger to the amount of weight lifted, you then swipe down through the number of reps, the set number and then to the 'finalize' button all in one motion.
As this tab progressed through various iterations, there were small but significant changes made to accomodate various workout scenarios.
Another significant piece of the FitFire app is the "Community" tab. We imagined it as a way to connect smarter with people in the user's workplace and workout communities.
This ongoing development and iteration has culminated in the...
Touching a muscle brings you to the Muscle Detail view. This page offers more concrete details on progress as well as connections to the other fuctions of the app.
The current version of the Track Lift page embraces the goal of a single, non-scrolling page offering all of the necessary tools and information for an individual in the midst of the workout, with no distractions.
The main update to this portion of FitFire was condensing all functions into a single feed. Now both "New" and "Old" partners are intermixed, with a simple pull-down filter to show either or both. This pull-down also allows for filtering based on individual groups and compatability with users.
The current iteration of the "Conversation" view shows each interaction color coded by type. While there is a standard keyboard view, there is also this "Request" function that allows for short-hand and standardized workout suggestions.