About trainAR 💪🏻
trainAR is an AR fitness application where you practice all your home workouts, and recommended exercises as per user fitness goals along with a personal trainer all 3 in a single application. View the backstory of IBM’s international fitness company case study here.
Market Gap 🧩
Currently, many videos show how to do the exercise, but there are no apps that provide the AR environment regarding the same. It helps you to view the entire exercise in a real environment. The trainer in the app will be of the same height. The exercises will be curated, and scheduled depending upon the various factors like equipment, number of days of workout, etc.
Target Audience 👥
Individuals who are unable to have access to gyms due to time, accessibility or whopping gym subscriptions are our potential users. People who cannot afford personal trainers or have basic fitness as their end goal are also our targeted users.
Product Potential 🥅
From the gym owner’s perspective, it is quite costly to afford gyms, trainers, equipment, electricity bills, etc. w.r.t. to the low purchasing power of the members.
Perfect time to go digital 🚀
So currently pandemics and work-from-home culture have made life quite lethargic and dull. 3 out of 5 people are not able to take care of their health and hygiene.
Every individual will think twice before going to the gym for working out with the fear of not getting any coronavirus symptoms. Those who are working out are still unaware of their workout schedule as well as the correct form of exercise and where one should feel exact pain while exercising. This app will help both of these categories of people.
Everyone does not intend to spend money on health and fitness as this is not considered a necessity, it is considered as a liability. But one can pay the reduced subscription depending upon his physique.
Going digital will help us cut down these prices to affordable ones. Where in a city like New York City one used to pay nothing less than $828 annually. By going digital we can provide a far lower cost than that.
Research Procedure 📒
Visit the fitness apps that I have downloaded and search for more fitness apps to do the comparison.
Choose one fitness app that I like the most and would like to help them to improve and make it better.
Craft suitable interview questions based on my experience with those apps.
Find suitable interviewees and schedule a session with them.
Refine and construct the interview question flows based on lecturer feedback.
Test the interview questions with a friend, so that I can improve myself and I will not be that stutter during that day.
We proceed to user interviews and get useful responses from interviewees.
I fill up the Google Forms based on the recording and feedback that I got from the interviewees.
User Research 🔍
We have collected surveys from various sources:
Instagram Polls as well, keeping the Google Forms form as our main source of data gathering process.
During the survey and 1–1 conversations with more than 15 individuals, we came across some insights which helped us understand the product better.
Data and findings 🔬
Insight 📝
50% of them feel pandemic did restrict them to go to the gym, lead them only able to do a home workout based on videos.
One of them states that she workout during her semester starts because she feels her schedule is more stable, so she normally workout after finish her class. After coming home from working, it is too tired for her and made her not feel like doing any workout.
100% has different reasons that lead them to do exercises. ( Get abs, lose weight, be healthy, destress ) They are more self-aware that they should start exercising instead of someone told them that they are in an unhealthy state and should start exercising.
100% of them have a very good self-awareness about their health.
100% of them think that knowing the nutrition of the food you consume is important for their health.
75% of them will do some comparison or ask trainer friends to make sure the knowledge that they got is correct, so the correct knowledge is important for them.
75% of them actually won’t forget that they need to work out even when they are too busy with works, they would have alternative ways to keep them doing exercise.
75% of them their motivation comes from friends.
50% of them have to stop exercising, one is because of final year assignment; another feels like she has lost the reason to continue to do so.
100% of them choose to have different kinds of exercises, user friendly, giving proper knowledge of fitness and notification/reminder as to the criteria when they choosing an app.
100% of them think that fitness apps did give benefits to them.
100% of them are not sure about the posture that they are doing during a workout, they need guidance.
100% of them actually didn’t care much about how many calories they will burn from the workout they did but they were just curious.
100% of them use YouTube to search for workout videos because it is a huge platform and it is also free of charge. They also follow various channels on it to make comparisons and prevent themselves to get bored.
Key Functionalities 🎯
1) It will showcase the key pain points in the body, on which part one should feel pain while exercising.
2) Curated exercise depends on various factors.
3) Diet plan, one-one consulting.
4) Personal recovery and therapy for any sort of injuries.
5) Gamification built into the application.
6) Social factor to competing with friends and family.
Product Journey 🛣️
Sketches ✏️
Design
Low fidelity
The wireframes were created by using Sketch. I did a simple layout design for my first wireframe prototype.
High fidelity
Overall Feedback:
The image on Sign In/Up screens seems to have a different color mood compared to the Onboarding screens.
Assessment screens are boring, try to implement some interesting interaction to them.
The line at the background of onboarding is nice, try to implement it into the whole app, make it into a concept for the app.
For full flow, click here
Future opportunity 🔮
With machine learning algorithms (object recognition) and a few sensors, we can develop a product (a scanner) that can detect the motions of the body while exercising and guide him/her with the help of text output.
There are a few more constraints regarding lighting, cost of implementation, full-body detection, etc. which are not put into practice to date.
