AI Research Scoping Skill

63% of research or insights professionals have anxiety around an impending job loss.  63%! Are you surprised?? 

I’d actually thought it would be higher… and it probably is, as this stat comes from April this year.

Many of these anxious researchers, including myself, are looking to AI to stay competitive.  About half of market researchers are now using AI regularly in some capacity.  

But only 10% say it has truly become embedded in their day-to-day workflows.  The majority are still grappling with how to shift from siloed experimentation to a more integrated practice as a team. 

Why is that?  Maybe it has to do with how we are thinking about AI in research.  Maybe we are focused on individual tasks AI can automate and overlooking how AI can augment and accelerate systems between us as interconnected teams.

To challenge myself with this "more embedded" line of reasoning, I created a Research Scoping Skill in Claude.  The skill is intended not just for researchers, but for product managers, designers, and marketers.  

Suppose a PM wants to know if they should test a new onboarding experience.  Instead of waiting on the researcher’s calendar for a meeting, they run it through a 10-minute skill.  Claude explores their idea and context, checks for assumptions, and references existing research.  Then it floats two research methods, checks those ideas against research already in-flight, and drops a ticket with recommendations for the research team to review.

This gives the research team an automated intake process while lowering the bar for the rest of the business to pressure-test ideas.  It also makes for an easier on-ramp for democratized research if the business moves in that direction.

I wonder how else AI in research can start to be about business processes, not just research processes.

📊 MRII, 2026: https://lnkd.in/g4NAERsw
📊 Marketing Charts: https://lnkd.in/gHv_Z3Tc