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This version concentrates on producing the features of the app that are central to its purpose.
# | Title | User Story | Notes |
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1 | Workouts | As a user, I can perform a workout | - The user can choose a workout (sequence of exercises) to perform and will be guided through it.
- Timers, prompts and videos are used to guide the user through.
- Their workout activity is stored in Core Data.
- A selection of workouts are available to choose from.
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2 | Calorie burn data | As a user, I am able to see how many calories I burned during and after a workout | - At the end of a workout, the user's heart rate and perceived level of exertion are measured.
- These data points are used to calculate their calorie burn during and after the workout.
- A graph on the main screen shows the user their activity over the last 7 days - their calorie burn from each workout and their 'excess calorie burn' each hour.
| 3 | Exercise libraryAs a user, I can see videos and information on 50+ exercises | - All exercises are available in a 'library' that is separate from the workouts.
- The user is able to view information on each exercise and watch its associated video.
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43 | On-demand video downloads | As a user, I can download exercise videos only when I need them | - There are 50+ exercise videos so we we will only include a few of them in the app bundle.
- Videos are downloaded when the user needs them for a workout or when requesting one in the library.
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Version 0.2
Concentrates mainly on the features around the EPOC and calorie burn calculations. To calibrate the calculations for EPOC and calorie burn, we need to conduct a small study to gather data points.
# | Title | Notes |
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1 | Workout response calculations and presentation Jira Legacy |
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server | JIRA (fatcigar.atlassian.net) |
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columns | key,summary,type,created,updated,due,assignee,reporter,priority,status,resolution |
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serverId |
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|
| User Story0698f136-3f0e-3c87-aa9c-4d9605606272 | key | AF-18 |
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| - Implementation of the Adaptive Response model to show the user what is happening to their body post-workout.
- Presentation of the model output on the afterburn screen radar chart.
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2 | Main UI | - User interface for the key features of the app
- UI and flow of the workout activity sequence
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3 | Post-workout HR & PE | - Collection of user's heart rate and relative perceived exertion, post workout
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4 | Workout impact and impact credit Jira Legacy |
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server | JIRA (fatcigar.atlassian.net) |
---|
columns | key,summary,type,created,updated,due,assignee,reporter,priority,status,resolution |
---|
serverId | 0698f136-3f0e-3c87-aa9c-4d9605606272 |
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key | AF-23 |
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|
| - Implementation and presentation of Max Workout Impact and Actual Workout Impact.
- Pending and Realised Impact Credit calculations.
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Version 0.3
Adds the fitness test process and everything needed for beta
# | Title | Notes |
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1 | Fitness tests |
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2Presentable UI | Fitness level calculation |
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3 | Fitness scoreSelfie recording |
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4Post | -workout HRVoice guide |
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5Perceived | exertionBasic onboarding |
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6 | Voice guide | Basic messaging |
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7 | Firebase config |
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8 | Basic analytics |
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Version 1.0
Getting the app ready for public release
# | Title | User Story | Notes |
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1 | iCloud Firebase sync |
|
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2 | User interfaceIAP subscriptions |
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3 | IAP subscriptionsFull progress chart? |
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4 | Full progress chartonboarding |
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5 | OnboardingWatch app? |
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6 | Watch appFirebase videos? |
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Version 1.x
To calibrate the calculations for EPOC and calorie burn, we need to conduct a small study to gather data points.
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