This is a stub task.
We should make a simple sign up experience meant to convert paying customers, engineering managers specifically.
My vision is to post on places like hackernews twitter etc and do a quick writeup on how AI team managers are here, highlighting benefits X, Y, Z...
Then bring them to some marketing/landing page with a sign in with GitHub button. At this time our system can scrape their GitHub organization, generate vector embeddings, and start planning their upcoming sprint.
The user logs into a simplified version of the dashboard that basically shows
- a calendar view of their real team members and what tasks they should be assigned to (we will need to define priority levels somehow1, normally a manager labels each priority level on the task individually.) and we can automatically estimate the time of each task by reading their specifications.
- Quantitative metrics of how much value the system provides to their team i.e. saves X amount of time assigning tasks (assuming it takes 5 minutes to assign each task from the backlog to the right person etc) and saves Y amount of dollars in a typical engineering manager salary etc. The numbers should be a lot more impressive with larger backlogs (perhaps we can support importing tasks from other platforms like asana etc)
General Steps
- Backend
- Landing Page/Conversion Funnel UI/UX Design
- Implementation
This is a stub task.
We should make a simple sign up experience meant to convert paying customers, engineering managers specifically.
My vision is to post on places like hackernews twitter etc and do a quick writeup on how AI team managers are here, highlighting benefits X, Y, Z...
Then bring them to some marketing/landing page with a sign in with GitHub button. At this time our system can scrape their GitHub organization, generate vector embeddings, and start planning their upcoming sprint.
The user logs into a simplified version of the dashboard that basically shows
General Steps
Footnotes
a tinder like view with swiping left (low) right (high) up (urgent) to quickly set priority levels on tasks could be interesting to bootstrap the system's data. But otherwise we can ask the AI to think of what is most likely to drive revenue (business priority) tasks, and we can provide examples like internal developer tooling may be lower priority than fixing breaking bugs. ↩