Full course coming soon

Task Decomposition for AI-Augmented Work

7 chapters · 32 lessons

1. 1. Mapping Work as Tasks, Not Titles

   4 lessons

   Learn to inventory and describe the discrete tasks that make up any role, independent of job titles or org charts.

2. 2. Scoring Tasks for AI Exposure

   5 lessons

   Apply a structured framework to evaluate which tasks are candidates for automation, assistance, or human ownership.

3. 3. Designing Hybrid Human-AI Workflows

   5 lessons

   Redesign task sequences to leverage AI assistance while preserving human judgment, accountability, and learning.

4. 4. Identifying Durable Skills in Your Task Mix

   4 lessons

   Evaluate which tasks build transferable career capital and which are vulnerable to automation over time.

5. 5. Communicating Workflow Changes to Stakeholders

   5 lessons

   Learn to present task-level redesigns to teams, managers, and executives using evidence and clear tradeoffs.

6. 6. Applying Task Decomposition to Your Own Role

   4 lessons

   Use the frameworks from this course to analyze, redesign, and future-proof your own work.

7. 7. Scaling Task Analysis Across Teams and Organizations

   5 lessons

   Extend task decomposition to multiple roles, departments, and strategic workforce planning initiatives.