I've made a chart of how long it takes for me to complete each task versus how long I estimated the task would take. I have a dataset of 42 tasks. For each task, I have a specific unit test in mind that needs to be complete before I consider the task completed. Sometimes I decide to do more than what I originally intended, sometimes less. Sometimes, I abandon the task and move on to something new. I do not factor the abandoned tasks into my calculations. So here's how I come up with my metric. If the tasks takes longer than expected then I divide the actual length by the estimated length and multiply the number by -1. If the task takes shorter than expected then I do the reverse and divide the estimated length by the actual length. So if I estimate that a task will take 10 hours and I finish in 5 hours then that would result in 2. If it's the other way around, then that would result in -2. The chart below represents a moving average of the last 5 tasks. On average for every 1 hour that I predict a task will take it takes 1 hour and 40 minutes to complete. There was one area where two tasks in a row took 16 and 18 times longer to complete than I thought, so I really got slammed there.
https://ibb.co/kDubvp
https://ibb.co/jT8Qo9
https://ibb.co/dvTEgU
https://ibb.co/kDubvp
https://ibb.co/jT8Qo9
https://ibb.co/dvTEgU
2 Comments On This Entry
Page 1 of 1
jon.kiparsky
24 August 2018 - 09:45 AM
Interesting use of metrics. It looks like you're converging towards zero, so that's a pretty cool trend.
Page 1 of 1
Trackbacks for this entry [ Trackback URL ]
← September 2020 →
S | M | T | W | T | F | S |
---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | ||
6 | 7 | 8 | 9 | 10 | 11 | 12 |
13 | 14 | 15 | 16 | 17 | 18 | 19 |
20 | 21 | 22 | 23 | 24 | 25 | 26 |
27 | 28 | 29 | 30 |
Tags
My Blog Links
Recent Entries
Recent Comments
Search My Blog
0 user(s) viewing
0 Guests
0 member(s)
0 anonymous member(s)
0 member(s)
0 anonymous member(s)