Insights on expert networks, market research, UX research, and AI training from the CleverX team.
33 articles
Ten ChatGPT workflows for market research with copy-paste prompts: screener generation, transcript synthesis, persona drafting, competitor scans, and more. Plus five workflows where ChatGPT falls short and what to use instead.
A 5-step AI workflow for creating research questionnaires that pass methodological scrutiny - copy-paste prompts for survey + interview formats, plus the bias checklist that catches leading, double-barreled, and ambiguous questions before they ship.
A 5-step AI workflow for creating user personas that hold up with copy-paste prompts, the validation checklist that catches fictional details, and the line between AI-drafted personas and customer-validated ones.
A 4-step AI workflow that turns user research into a PRD product engineers actually want to build from. Copy-paste prompts, the PRD sections AI nails, and the ones product managers still need to write themselves.
Effective usability testing playbook for UXR. Modality choice, task design, sample size, moderation technique, recruitment, synthesis, and the mistakes that kill sessions.
Foundational AI products UX research guide for PMs. 5-segment AI split, trust + hallucination + safety research, evaluation harnesses, and the AI-specific stack.
From heatmap tools to full behavior analytics platforms, here are 10 Hotjar alternatives worth switching to in 2026 ? with honest comparisons and a clear positioning of where each tool wins.
By 2035 most workers will not be replaced by AI but will work alongside it. This guide covers the skills, policies, and strategies that will matter.
When annotators disagree on labels, ML models learn noise instead of signal. This guide explains how to measure agreement, build gold standards, and scale quality assurance without proportional cost increases.
Quality contributors determine ML project success. This playbook provides structured recruiting and screening methodologies for building high-performing annotation and human feedback teams.
Jailbreak success rates hit 80-100% against leading models. This red teaming playbook helps AI ops teams identify vulnerabilities before deployment.
Operations teams spend significant resources on inefficient data labeling workflows. This evidence-based cost optimization playbook delivers proven strategies for reducing annotation costs while maintaining model accuracy.