Human x AI
One of the reasons for current obsession in stress testing AI is to be able to form an opinion on what it means for different functions in AI era. I was in Product, Project, User Research, Design and rolled up into Digital Leadership function > Pivot into Sustainability for past year.
What does it mean to be a practitioner for each function?
Frameworks I'm familiar with are Lean, Design Thinking, Agile (Scrum certified) for more context. These are my thoughts at this point. Might change again as AI evolves.
I was huge fan of Lean Startup. To me, Lean Startup is a more complete framework. I always felt Design Thinking to be incomplete.
Lean Startup is still applicable in AI, what changed is how a release cycle should be faster. What might take 3 months to build and validate can be shorter. Concept testing now doesn't require a designer to create high fidelity prototype anymore, anyone can come up with prototype.
However, the discernment of a good prototype or bad prototype still lies with an experienced practitioner/agent.
Design Thinking is more important with AI because Design Thinking answers what should we build. Before AI, it answers what can we build with limited resources. With AI, the problem shift to now that we can build anything, what should we build? Can agents be trained in Design Thinking? I find this harder given complexity in human motivations, triggers and expressions. Example, when research participant is able to find a feature but expression looks confused the whole time. How will an agent decipher this?
At this point, here is what I believe
Task with clear right or wrong output -> Agent
Tasks with subjective output -> Agent + Experienced Human discernment of what good looks like.
Without execution, will human be able to hone their skills and thinking to reach a level of standards. I do believe there is a new level of standards and humans can get there faster now, because this is what I'm experiencing which these few months of AI obsession.