Research resources
A custom GPT that runs realistic mock interviews for UX researchers — follow-up questions, structured feedback, and help turning real projects into stronger interview stories across IC to leadership roles.
Read the post ↗A custom GPT for quantitative UX research — power analysis, study design, sampling, and statistical reasoning, on demand.
Read the launch post ↗A scheduling-agent walkthrough with a practice workbook, scoring sheets, worked answers, and a grader prompt. Paid Substack guide.
A practical guide and Construct Memo for defining what an evaluation should measure before writing criteria. Paid Substack guide.
A working contract for AI-assisted survey analysis: what the model is allowed to do, what stays human, and how to keep the audit trail intact.
Read the post ↗An interactive tool for building intuition about statistical power, sample size, and effect size before you commit to a study design.
Read the post ↗A practical walkthrough of probability vs. non-probability sampling, when each is appropriate, and the tradeoffs you're really making when you pick one.
A curated set of resources for qualitative researchers who want to build enough quant fluency to read studies critically and design better ones.
A Codex skill for getting to a shorter reading list worth your time — a small, personal alternative to algorithmic feeds.
Books for changing the frame when the default categories stop working — systems, situated action, infrastructure, and metaphor.
Books and essays for researchers who want to push back against fast, frictionless answers and stay in the question a little longer.
A few curated paths through my publication for new readers, plus a short survey to shape what comes next.