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At my software agency, we were actually inspired by this post when it was on hn a couple years ago to, in a hackathon, build a simple machine learning model aro
by kvee 6y ago
At my software agency, we were actually inspired by this post when it was on hn a couple years ago to, in a hackathon, build a simple machine learning model around it.
Then, recently, we actually built our own internal tool to add "uncertainty points" to estimates for each client project we do.
And the ML model predicts better and better how uncertainty uniquely affects each project we're using it in.
We've been using it on 1 project for and it's actually working surprisingly well.
We're also in the process of rolling it out to most of our other projects, or at least the ones using Pivotal Tracker, which is the only tool we're supporting right now.
If happen to be using Pivotal Tracker are interested in testing it out yourself and giving us any feedback you might have, plz shoot me a message at the email in my profile.
- dchuk 6y agoIf you ever port this to jira, I’d give it a shot
- temporallobe 6y agoAnd management would like to add something like “optimism points” so they can cancel that out and have better metrics to report to stakeholders.
- kqr 6y agoThis is interesting. Have you benchmarked it against e.g. a linear regression model built on your own subjective estimations?