If your project is set up with phases, it may be a good idea to have a lessons-learned meeting at the end of each phase. (Why wait until the end of a three year project when there are some valuable lessons at the end of Phase 1?). Also, if there is a major event that occurs (good or bad) it is important to get the info out so other project managers know that it may affect them.
The standard steps for the lessons learned process are:
Typically, at the meeting we ask what went right, what went wrong and what needs to be improved? The main issue with these face to face meetings is that all the input may not come out due to team members who are afraid to criticize the process.
So, if you have team members that don’t want to open up take a survey. Typically at the end of my lesson-learned meetings I pass out pads of post it notes and ask team members to write down a survey question and some possible answers. Many times this involvement lets the team ask their question. Once you have the questions for the survey questions you can use freeonlinesurveys.com or if you have SharePoint it also has a survey feature to post the answers.
So, what questions do you ask at a lessons-learned meeting? There are some classic ones that I will cover below, but there are always some questions that are project or organization specific:
Finally, you need a common location for your lessons-learned findings. This can be as simple as a shared drive or a custom built database or the latest trend is to use a wiki. If you insert your organization’s lessons learned into one wiki you now have a searchable database as long as you tag your entries.
Currently, VistaPrint is using a wiki to capture their programming issues and government agencies, like the CIA, are using wiki’s to track “persons of interest”.
Just remember, without lessons learned your PMO or PM process will never have a chance to improve.
Ryan Endres, PMP, is the manager of the PMO at the University of Wisconsin Madison School of Medicine. He has a proven track-record of improving and impacting corporations through the redesign of processes and utilization of enterprise technology solutions. You can find Ryan on Linkedin or follow him on Twitter.
Ethics and Artificial Intelligence: Driving Greater Equality
FEATURE | By James Maguire,
December 16, 2020
AI vs. Machine Learning vs. Deep Learning
FEATURE | By Cynthia Harvey,
December 11, 2020
Huawei’s AI Update: Things Are Moving Faster Than We Think
FEATURE | By Rob Enderle,
December 04, 2020
Keeping Machine Learning Algorithms Honest in the ‘Ethics-First’ Era
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 18, 2020
Key Trends in Chatbots and RPA
FEATURE | By Guest Author,
November 10, 2020
FEATURE | By Samuel Greengard,
November 05, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 02, 2020
How Intel’s Work With Autonomous Cars Could Redefine General Purpose AI
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 29, 2020
Dell Technologies World: Weaving Together Human And Machine Interaction For AI And Robotics
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 23, 2020
The Super Moderator, or How IBM Project Debater Could Save Social Media
FEATURE | By Rob Enderle,
October 16, 2020
FEATURE | By Cynthia Harvey,
October 07, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
October 05, 2020
CIOs Discuss the Promise of AI and Data Science
FEATURE | By Guest Author,
September 25, 2020
Microsoft Is Building An AI Product That Could Predict The Future
FEATURE | By Rob Enderle,
September 25, 2020
Top 10 Machine Learning Companies 2021
FEATURE | By Cynthia Harvey,
September 22, 2020
NVIDIA and ARM: Massively Changing The AI Landscape
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
September 18, 2020
Continuous Intelligence: Expert Discussion [Video and Podcast]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 14, 2020
Artificial Intelligence: Governance and Ethics [Video]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 13, 2020
IBM Watson At The US Open: Showcasing The Power Of A Mature Enterprise-Class AI
FEATURE | By Rob Enderle,
September 11, 2020
Artificial Intelligence: Perception vs. Reality
FEATURE | By James Maguire,
September 09, 2020
Datamation is the leading industry resource for B2B data professionals and technology buyers. Datamation's focus is on providing insight into the latest trends and innovation in AI, data security, big data, and more, along with in-depth product recommendations and comparisons. More than 1.7M users gain insight and guidance from Datamation every year.
Advertise with TechnologyAdvice on Datamation and our other data and technology-focused platforms.
Advertise with Us
Property of TechnologyAdvice.
© 2025 TechnologyAdvice. All Rights Reserved
Advertiser Disclosure: Some of the products that appear on this
site are from companies from which TechnologyAdvice receives
compensation. This compensation may impact how and where products
appear on this site including, for example, the order in which
they appear. TechnologyAdvice does not include all companies
or all types of products available in the marketplace.