Our product folks want to use historical data (not hourly estimates) to know what our roadmap of Stories might look like. We have a ranked backlog.
We are doing Kanban of sorts and have these statuses:
So I've got a cycle time graph. I selected all status except Backlog, Awaiting Dev and Deployed for Story issue type. To me this means "once the developer started working on the issue, it took X days to release that to our customers." The mean value I'm looking at (including non-working days) is 56 days.
I was thinking I could use this value to look at, say, the top 3 items ranked in our backlog and roughly get an idea about when they might hit our customers. But, I'm realizing now that a) that 56 days is how long it took to get that issue out to customers after development started. It takes into account the bugs and other stuff that was worked on that blocked that from getting release. Cool.
But, this number is a bit misleading since it looks historically from the POV of the issue, not the team. Like we released 4 stories to our customers in January that each took around 40 to 60 days. In other words, looking at our ranked backlog it doesn't necessarily mean that backlog item #3 will get out in 56 x 3 days since we have five people on the team and a higher capacity than that. But it doesn't mean I can somehow divide by 5 since some folks work on bugs, etc.
Am I thinking about this all wrong? I feel like the data is there, I just want to know how we can look back in history and very roughly predict where each Story in the ranked backlog might fall in a roadmap.
Does this help???
Otherwise we could go through a scenario to calculate your estimate from scratch...
Let me know :)
Unfortunately, we're using Kanban boards and we do somewhat regular ad hoc releases that include whatever work is ready at that time (not planned into sprints). Also, Kanban boards don't have this feature, but we're looking for something slightly different, but seems somewhat common to me:
We have historical data of
a) how long it takes a Story from start of development to deploy status (56 days mean)
b) amount of Stories we've been able to deploy week-over-week (in a Time Since Issues Report: 4 Stories over past 180 days)
With that data (or any other info), shouldn't I be able to make an assessment of when a particular item in a ranked backlog might be released? Not sure if my thinking is sane here, just riffing.
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