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rj in reply to @chez_jay

I don't think so because the month they finish is not related to how long they take. And for live reporting the data output changes this month if for instance next month a very long project finishes.

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𝔒𝕨𝖑𝘡 in reply to @rj

Split your projects into cohorts based on when they started. Then figure out for each cohort after 1, 2 .. N months, what proportion were completed. Plot those cumulative distributions and compare. If you want to assess significance then you do a chi-squared test.

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rj in reply to @𝔒𝕨𝖑𝘡

This still means that if a project is finished in the future, that trend in the past would change. Which I think means that it would work if all of your projects were finished. Could something like a mann kendall test be sensible?

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