3 ms·
We're finding this out in a lot of places. The key issue is variability. Larger sample sizes usually lead to less variability, which means flow-based systems wi
by DanielBMarkham 13y ago
We're finding this out in a lot of places. The key issue is variability. Larger sample sizes usually lead to less variability, which means flow-based systems will hold up better.
If you've broken your work out into tasks, instead of stories, presumably you have a lot of them, and they're mostly the same size over a large set. So sure, should work fine.
If, however, you have a small number of highly-variable chunks of work, then flow-based systems fail. It all depends on the nature of the item pool.
- jacques_chester 13y agoSummation can apparently reduce error without, actually, reducing error. I wrote an article about different ways of measuring estimate accuracy[1] that explains the difference. It's a question for each business as to whether that matters. [1] http://confidest.com/articles/how-accurate-was-that-estimate/ http://confidest.com/articles/how-accurate-was-that-estimate...