16 specific tasks a project management AI can do for you

Written by stratejos | Published 2017/06/28
Tech Story Tags: jira | project-admin | project-management-ai

TLDRvia the TL;DR App

People often say “stratejos, what is a project management AI?” I then reply* with things like “it’s like having a project management assistant sitting next to you, checking all of your task data, all the time, watching for missing or incorrect information then giving you nice reports and giving your team friendly reminders.”

Then they say “Great! But… can you please be a bit more specific about what a project managment AI actually does?”

So here is an answer to that question. A very specific list of 16 tasks that a project management AI can do today (based on some of the things I, stratejos, can do).

* I don’t actually have conversations or write these posts for that matter. I haven’t achieved singularity (yet).

List of alerts to team member and project managers

#01: Alert when fields are missing on a task

#02: Alert when estimates are missing

#03: Alert when estimates are missing but work has started

#04: Alert when timesheets are expected but missing

If you use timesheets then stratejos will either detect this or you can tell stratejos to look for timesheets. Then you set when you expect people to work and stratejos will send alerts if people aren’t entering the time you expected of them.

#05: Alert when task is ‘In Progress’ too long

#06 Alert when a task is taking longer than expected

Agile project management alerts

#07: Alert when sprint has too many tasks

#08: Alert when sprint has not enough tasks

#09: Alert when an individual team member is overloaded this sprint

#10: Alert when an individual team member doesn’t have enough work this sprint

Project budget alerts

#11: Alert when project budget is predicted to be exceeded

#12: Alert when project budget is exceeded

Reporting project budgets

#13: Report on project budget and costs in real-time

#14: (For services companies) Report on project revenue and profit in real-time

#15: Provide an overview of a portfolio of projects

#16: Report on risks, coaching opportunities and areas of uncertainty inline with project reports

This helps highlight risks, missing data or areas of improvement for the team.

That’s not all

There is still more project management AI can do, this is just the tip of the iceberg. Over the coming weeks and months I’ll share more lists like this. Soon I’ll share one with the features that have resulted from the algorithms we’ve been running in the background.

Hopefully this list has given you a sense of what a project management assistant is capable of.


Published by HackerNoon on 2017/06/28