Understanding people and creating the #humandigitaltwin – the opportunity for PMO’s of all sizes and shapes to improve delivery webinar, 29 November 2022
Understanding people and creating the #humandigitaltwin – the opportunity for PMO’s of all sizes and shapes to improve delivery webinar
Tuesday 29 November 2022
APM PMO Specific Interest Group
Presented by:
Donnie MacNicol
The link to the write up page and resources of this webinar:
https://www.apm.org.uk/news/understanding-people-and-creating-the-humandigitaltwin-the-opportunity-for-pmo-s-of-all-sizes-and-shapes-to-improve-delivery-webinar/
Content description:
People are different – the way they reason, communicate, involve others, make decisions, etc. Multiple diagnostics and tools exist that provide individuals, teams and organisations with insights to help improve relationships, team cohesion and culture. Surprisingly these insights are rarely taken into account in how the structures, processes and practices commonly associated with delivering change and projects are applied. This needs to change and Donnie believes that PMO’s have a critical part to play. He shared practical concrete suggestions during the webinar on Tuesday 29 November that can be easily applied in areas such as reporting or the management of risk after introducing a simple means of providing personal insight.
Sharing our vision to provide project and change professionals with freely available digital tools that will provide insights on the impact of the human dimension from an individual, team and organisational perspective to improve decision making and in turn project performance – the #humandigitaltwin.
PMO’s have an opportunity to embrace and apply this thinking and improve delivery whether at a project, programme, portfolio or enterprise level.
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1. www.teamanimation.co.uk
Understanding people and creating the
#humandigitaltwin – the opportunity for PMO’s
of all sizes and shapes to improve delivery
APM PMO SIG Webinar 29 Nov 2022
Donnie MacNicol, Director
38. PDACOMMUNITY
PROJECT DATA ANALYTICS COMMUNITY
PROJECTING SUCCESS
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Behavioural Insights into Project
Performance
We believe that “Insights about and feedback from individuals can be used
to improve team and project performance”
We ran an experiment at Hack15 gathering this data with the intention to
share as part of a Challenge at Hack16
The nirvana situation is to not only predict but also identify actions to
shape and maximise team and project performance using these insights
and feedback. We wanted to test if:
• We can predict who will succeed in the hack
• We can predict who will forecast their final score closest to the score the
judges give them
• We can predict if teams will not be successful
•Jo Jolly
•Catherine Wilson
•Jonathan Williams
•Alex Robertson
•Yoshi Soornack
•Donnie MacNicol
•Kelvin McGrath
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WHAT – typical reports
Examples of standard confidential individual reports that MeetingQuality can
produce
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A. MQProfile
Seen as of value by all 4 types
Blues who are typically , analytical, persistent, systematic and task oriented
people who enjoy problem solving, perfecting processes and working
towards tangible results – obvious why PDA would be attractive
Reds who are typically goal oriented, most comfortable when they are in
charge of situation and focus on a no-nonsense approach to bottom-line
results – so different motivation
Yellows who are typically outgoing, enthusiastic idea people who excel in
getting others excited about their vision, often fast paced and eternal
optimists – they get excited about the possibility that PDA brings
Greens who are typically supportive, develop strong networks of people
and not necessarily motivated by the “hard” / analytical nature of PDA
unless the value to people can be demonstrated
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A+E. MQProfile + Judges
Lowest and highest scoring from the judges before final assessment
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B. Team Demographics
High Performing Low Performing
What impact does experience have on Project:Hack
performance?
Does having a high percentage of data novices
impact the team's overall success?
Is there such a thing as having too many leaders?
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Hackers were asked to score these questions using the sliding scale which returned a
value of between 0 or 100
C. Behavioural Insights
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High Performing Low Performing
C. Behavioural Insights
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How cool is the technology?
Trend across all touch points over the two days.
Round 1 Round 2 Round 3 Round 4
C. Behavioural Insights
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D. Written responses
"What are your confidence levels around the team's performance potential
for this challenge?"
Standard Word Cloud MeetingQuality Emoji Cloud
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D. Written responses
“How would you feel about raising concerns in this group if you spotted
something wrong?”
Standard Word Cloud MeetingQuality Emoji Cloud
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D. Written responses
There is one dot per phrase. The higher
the percentage of the dot on the graph
the greater the intensity.
Interestingly the text responses
generated more information - overall the
teams got more sad, less confident
and more tentative.
More emotive perhaps as the deadline
closes in?
Round 3 Round 4
Emotion Measurements
All free format text responses for both rounds 3 & 4 have been analysed to provide emotion measurements
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Technology perception was the most accurate
predictor of judges scoring. (<0.05)
• Attendees perception of how “cool” the technology
was, was the only significant predictor for the judges
scoring.
• Similarly, a key factor in the final set of judging was
the clear visions set by the winners.
• We can assume that winning solutions are those that
are more technically advanced solutions in perception
but also reality.
Our Findings
How does this apply to projects…