AI Customer Research
Learn to use AI for Customer Research in 20 minutes per month.
Transcription evaluations head-to-head, and NotebookLM's "hidden" transcripts - are they any good? Plus a speedy test protocol...
Preventing AI's basic math errors, fast data cleaning, a viral study, a meta-prompting addition worth thinking about, and more...
A Claude 4 vs 3.7 reasoning test, new Claude system prompts, and "MCP" explained...
My new favorite LLM for customer research, what we can use AI benchmark tests for, and scientists may have found the most efficient way to prompt...
AI designs: From insights to test-ready prototype views faster (a workflow), the options on the market, and data privacy issues -
My framework for evaluating tools systematically, checking AI privacy policies, and a shiny new model...
Generate your own data for unlimited experiments, a study on sentiment analysis, DeepSeek data privacy issues, and more...
The results are in: I ran a study with AI Moderators and real participants. This is what I found -
Make more impact with insights personalized for stakeholders, faster usability test planning, an "agentic" process for following up feedback, and more...
The Upside of Bias in AI Research and "Does ChatGPT Treat Us All the Same?" Plus faster surveys, data anonymization, and more...
Should we let AI do our Quantitative Analysis? Can AI recognize emotions like humans can? Plus OpenAI's new model, and more...
Build a Custom GPT, 6 Low-risk Data Sources for AI testing, and more
