Project Management

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A blog that looks at all aspects of project and program finances from budgets, estimating and accounting to getting a pay rise and managing contracts. Written by Elizabeth Harrin from RebelsGuideToPM.com.

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Saving 14 minutes a day with AI

Research amongst Microsoft Copilot users highlights that on average they are saving 14 minutes a day (1.2 hours per week) by using Copilot, which is an AI-add in. Some users reported saving over 30 minutes a day, and using the time gained for focus work or additional meetings (*gulp*).

If you’re wondering how GenAI is going to change the way you work, Copilot is an example of something quite easy to use that speeds up completing your daily tasks. For example, you can draft a new presentation from a prompt or summarise an email thread or chat thread. I can see how this would help you catch up on meetings too as you can ask it questions based on a meeting transcript, or get a recap of the whole meeting.

I think that nothing really beats the aha moments in a meeting where you are working with others and finding a way forward, but there are also plenty of meetings that should have been an email. And I don’t know about you, but my diary is often double-booked with invites, and it’s hard to find time to squeeze more calls in, especially with senior leaders. Summarising a missed meeting can save people 32 minutes, which you could fill with another meeting, or take a lunch break, or write that project proposal that’s been sitting on your desk for a week.

Fourteen minutes per day does not sound like much, but it’s worth having, if the overall burden of admin work is reduced, freeing up time for us to do more project leadership and less creating slides, typing minutes or searching for files (the study said users were 29% faster in a series of tasks including searching, writing and summarising information).

The most important thing that I took away from the survey is that it doesn’t take less effort – it also feels like it takes less effort. The mental load of work is substantial. There are tasks to juggle, unending To Do items, stakeholders to keep engaged and lots more that we hold in our heads every day. Sometimes I end the day with decision fatigue. Sometimes it’s hard to switch off and the mental energy expended throughout the day has been exhausting.

If I can feel like I’m doing less burdensome work and more value-add work, that has to benefit my mental health and my enjoyment of the job.

Personally, I think this kind of GenAI has more practical use for project leaders than the ChatGPT-style interfaces that are available, including PMI’s own Infinity. I checked that out too, and it’s good for learning. I asked it to work out some potential risks for an example project for me, and it did a pretty good job of coming up with some basic risks I could include in a risk log as a starting point for discussion. A huge benefit of Infinity over my ‘normal’ ChatGPT account is that it provides the sources, so you can be confident you’re getting reliable, trusted information, which is very important if you’re building out work products based on the guidance.

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I can see a workplace in the not-too-distant future where we’ve got a pop up GenAI tool on the desktop to support everyday tasks, and a ChatGPT-style interface for research and more in-depth (or even quick) questions. What do you think about the way GenAI is influencing how work tools are built and the features on offer to you? Let me know in the comments!

Posted on: March 12, 2024 08:00 AM | Permalink | Comments (6)
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