Splash
The Splash is a branding tool and a way to buy time to load the app.
These details are only updated with each release, for more acurate updates and keeping track of progress, see the task in GitHub.
- View Details
- User Details
- Features
- Data
Description
there are two types of splash, first when Colibri itself is opened we use a typical splash based on the OS. We also have an internal Splash system, this allows apps to provide an asset and Colibri will handle the splash for the app giving it time to load. We will also auto generate splash assets each time a flow is generated, this will ensure the generation has time to process.
Status
| Doc Status | Product Status | Last Update | Version | Release | Phase |
|---|---|---|---|---|---|
| In Progress | Up Next | 04.03.2024 | 0.01 | Internal | Alpha |
Team
| Owner | Lead |
|---|---|
| Ben | - |
Reminders
- Keep code lean and clear
- follow the outlined arcetecture
- write commetes in your code
- update the staus in the docs and in GitHub
- try not to recreate functions we alredy have, rather update exsiting functions to support your needs
- Be sure to follow the release guidelines
- Update Documentation
- keep API docs up to date each time you update or add endpoints
Links & Resources
Coming Soon
- Biz Docs
- Research
- Design
- Prototype
- Dev Mode
- Task
- Alpha Branch
- Chat
- Alpha
- Beta
- Production
User Stories
Persona One
Update Coming Soon
As a busy user I don’t want to watch but rather listen to a podcast, however, when I hear a voice I don’t recognize, I want to take a glance at my phone to see a name and/or photo of who is talking or maybe ask the built-in “AI/assistant”.
User Flows
Personas
Features
Below is a list of features that will be utilized in order to deliver the best account features and functionalities. The details bellow are not comprehensive feature details but rather, describe how the features will be utilized within the account, for further details, please see the individual feature documentation.
You can find the Data Structure.
On the document we want to keep all the important data, the first fetch and fast to access.