Making Sense of Human-Centric Data
May 13 @ 5:00 pm – 6:00 pm AEST
50 years ago, this was the cutting edge, when it comes to modelling for large projects (and it is pretty amazing).
The Thames Barrier – a gateway to innovation | HR Wallingford
Today we use Building Information Modelling to create the physical elements of a piece of infrastructure and to model and simulate the interactions of the systems within it; how it will be constructed over time; how changes in scope, approach or delivery environment will impact delivery; how it will be operated and maintained. This is now classed as good engineering project management practice.
Every element of this complex system is shaped and impacted on a continuous basis by the decisions made by leaders and team members. Decisions made on an hour-by-hour basis through to strategic decisions on the delivery strategy are influenced by the way people think, behave and act based on their feelings, beliefs and perceptions.
So it seems strange that our approach to what you might call ‘the human engineering’ of complex projects, when compared to the construction engineering, seems even less sophisticated than those physical models of the 1960s; a one-off survey of delivery team sentiment, if you’re lucky, repeated on an annual basis, with often no mechanism for leaders and teams to use this to obtain insights to help them improve delivery.
It is therefore surprising that these critical psychological and behavioural factors have not until now been measured in a systemised manner. Nor has that data been used to enhance and augment existing project performance and controls data and decision making on complex projects.
Until now!
The new field of Human-Centric Data (HCD) offers the project profession an opportunity to benefit from this hidden data set to improve delivery. HCD involves capturing tiny amounts of information, volunteered on a continual basis, by team members attending the regular cycle of project progress meetings; sharing that data back with the team, in near real-time, and then discussing and actioning the insights together.
In this webinar we will:
- Explain the importance and mechanics of Human-Centric Data (HCD)
- Show you what you can measure and the insights you can generate in relation to areas including culture, collaboration, team dynamics, biases, psychological safety, wellbeing and productivity
- Relate it to other techniques for capturing the wisdom of the crowd, such as the Pre-Mortem
- Give you examples of how capturing and sharing data leads to immediate behaviour changes
- Show you how combining HCD with AI enables you to model and simulate the direction the delivery team are going in and how a major event may affect the team (e.g. the resignation of the Project Director and how this might impact the level of trust and the team dynamics.)
- Share the five Principles for appropriate and effective HCD capture and sharing.
About the presenters:
Donnie has over 35 years’ experience, the last 10 of which have focused on developing the programme and portfolio delivery capability of public and private sector organisations. His focus is primarily on infrastructure clients who are looking to adopt more collaborative and integrated ways of working. Donnie has broad expertise allowing him to develop the necessary behaviours, collaborative structures and capabilities to support clients to make the changes necessary to be a capable owner. Donnie is a leader in providing leaders and teams with insight from human-centric to improve decision making. Donnie has broad experience of developing leaders and teams.
Following 30 years as a business publisher, Jonathan joined the Major Projects Association (MPA) for seven years as Knowledge Manager. There he launched the Major Projects Knowledge Repository and pioneered the development of the Association’s Fringe programme; enabling online knowledge sharing and connection across the membership. He now divides his time between consultancy on knowledge management, development editing and writing. In 2024, he authored ‘Data Analytics and AI’ for the Association for Project Management’s forthcoming Body of Knowledge 8. He currently supports the MPA Sponsorship Network in developing and creating a playbook for Project Sponsors.