My Frameworks & AI Strategies
AI is moving faster than most organizations can absorb it. These are my working notes — frameworks, observations, and hard-won lessons from integrating AI into a real research function at scale.
AI Research Scoping Skill
Only 10% or reseearchrs say AI 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.
AI Automation: Ops and Logistics
It may be easy to lose sight of the routine, uncontroversial chunk of stuff AI can now automate, the logistical pieces that free our brains up for more creative and interesting work.
Synthetic Users
Not worth the hype. At least as it exists today. That was my conclusion after doing a little digging on the state of “synthetic users”.
AI Research Democratization
The enemy isn’t AI… it is complacency. User research has never been more accessible—and more dangerous—for non-research teams to take part in.
AI Augmentation
AI adoption in research has moved exactly as far as it's easy to move, into logistics and synthesis, and stopped right at the edge of anything that needs judgment. Maybe it is time to push those boundaries.
Agentic Workflow in Qual Analysis
We can now decompose complex tasks like qual analysis into manageable and iterative pieces.
The AI Reliability Spectrum
There is a push-pull relationship with AI capabilities and trust, and the line we walk in exploring that ideal.
Upgrade Your AI Voice
The goal shouldn’t be to secretly use AI to look or sound smart. It should elevate your our own voice and character. It shouldn't reduce us to noise.
The AI Trust Matrix
Trust has to continuously adapt to the capability of the tools or models you’re using.
6 Strategic Keys to Agentic AI
Powerful agentic AI is about understanding AI well-enough to know when to hand off your decisions, and more importantly when NOT to.
Prioritizing AI Accuracy
If we don’t structure our conversation around truthfulness, then we’re outsourcing our judgment without realizing it.
Acting on AI Confidence
We may need more conversations around AI confidence and structuring our decisions around confidence-levels.
Organizational Friction Model of AI
Most companies think AI isn’t paying off because the tech isn’t good enough yet, but research on AI adoption increasingly shows the biggest barriers aren’t technical — they’re organizational.
AI Efficiency in Research Ops
My reflections on how we used Co-pilot's integration of GPT 5 in the research function.