Technology has transformed every aspect of business, from the tools we use to communicate and collaborate, to how products and services are built and delivered, to how we conceive of organizations and communities. But it hasn’t yet transformed the heart of how we manage and execute work – project management (PM). A new paradigm for…
Just-In-Time Project Management
In Part 1, I introduced Return-on-Attention (ROA) as a way to evaluate how we invest our most precious resource – our attention.
But there is a key difference between investing money and investing attention. Units of currency are always uniform and interchangeable. Units of attention, on the other hand, are not at all created equal.
In Part 2, I described the sublime and powerful experience of flow, which could be considered the “holy grail” of productivity.
I argued that there is theoretically no minimum amount of time necessary to get into flow, contrary to popular belief. But in reality, as always, it’s a bit more complicated. Let’s look at what this looks like in a typical working session of a couple hours.
In Part 3, I argued that having a personal knowledge base is the linchpin of success in a creative economy.
A knowledge base allows you to reuse past work, draw from past experiences, share your knowledge in concrete form, and eventually, build products and services out of that knowledge.
This requires strategically structuring your work in the first place, as a series of what I call intermediate packets.
In Part 4, I introduced the idea of “intermediate packets.” Instead of delivering value in a big project that spans huge amounts of time, we want to deliver it in smaller chunks at more frequent intervals.
This follows a basic principle that has revolutionized many industries: small batch sizes.
In Part 5, I introduced The Iron Triangle of Project Management and the idea that any given deliverable can be reduced or expanded in scope at any time.
How should you use this newfound ability? You should use it to:
In Part 6, I recommended treating any deliverable (whether it’s a simple email all the way to a full-fledged product) as a series of evolutionary artifacts, each one intended to test an assumption or make forward progress.
But there is a deeper reason for downscoping deliverables and then evolving them through a series of stages.
In Part 7, I argued for the importance of interacting with information, instead of just passively consuming it. Interaction results in better learning at the same time as it creates valuable deliverables.
But incorporating all these new ideas about how work is completed – flow cycles and intermediate packets, downscoping and evolving deliverables, interaction over consumption – can be a little overwhelming.
In Part 9, I explained why it is so important to create placeholders for your work-in-process: to allow you to pursue multiple projects across different spans of time without losing your progress.
What we are converging towards is a set of core principles for how Digital Knowledge Work is fundamentally different from previous kinds of work.
In Part 10, I argued that digital knowledge work was fundamentally different than other kinds of work, because its structure, features, and purpose could be added or changed after it was built.
Principle #4 of Digital Knowledge Work is therefore to “Start everything as late as possible.”
In Part 11, I introduced the concept of a “critical path” of tasks in a project, and the rationale for pushing tasks as late as possible on the timeline.
The late starts approach inspires a tremendous amount of resistance, especially from creative knowledge workers. It sounds an awful lot like taking control from individual employees, centralizing it in a central decision maker, and forcing people to finish everything at breakneck speed at the last minute.