On deadline and time estimation
Goal
- 80% of requirements can be released in 2 weeks
    
- Deadline is the best driver: so small deadlines
 - The true end of task - complete work and get evaluation
        
- An outcome is typically defined by a quantitative metric. a number that is both meaningful to the business and measurable by the team.
 - Not easy to define the correct metrics and infrastructure to measure it. Part of the reason OKR uses multiple iteratons to refine the metrics
 
 - Work complicates to fill the available time.
 
 - 80% of requirement dev can be done in a week
 - 
    
80% of release can be done 1 hour after the submit
 - Assign a coordintor for progress coordniate if >= 3 people involved - most likely owner
 - Key to the problem is almost always blocked requirment instead of blocked resources
 - Don’t commit a hard deadline unless you have to - your schedule will become highly inflexible
 
Estimation
- Underestimates do not change significantly during the activity until about three weeks before the scheduled completion
 - Imagine 3 times effort from a debugged program to a product, and 3 times effort from debugged problem to the integrated system
 - Insider tends to under-estimate time (even with prior knowledge on similar problems), outsiders tend to over-estimate
 - However, if we break down tasks, the segmentation effect tells us that the sum of sub-task estimates are greater than the singel time allocated to the whole tasks