Insights on expert networks, market research, UX research, and AI training from the CleverX team.
64 articles
Review of 15 focus-group providers for product teams: full-service, online, B2B, DIY and hybrid options to recruit, moderate and analyze research2025!
Stage-gate NPD vs Agile: when to use upfront validation vs continuous discovery and how research timing, methods, and risk change product decisions.
A comparison of 12 product analytics tools, covering features, pricing, and which teams each tool actually works best for.
A practical guide to customer insight tools and processes that help product teams turn raw data into clear, actionable decisions.
Product development life cycle: six phases from idea to post-launch, showing what research to run when to validate, prioritize, and learn continuously.
Agile product development ships iteratively, learns from users, and embeds research into short sprints to adapt quickly and deliver value.
AB tests validate UI changes with real user behavior: show variants, measure outcomes, and pick the design that improves key metrics and reduces risk.
Learn how to use ranking questions effectively in surveys and research. This article covers when ranking works better than rating, how many items to include, analysis techniques, and proven examples from successful product teams.
Learn how to design screener questions that identify your target respondents while filtering out wrong participants. This article covers screening criteria, question design, disqualification strategies, and proven frameworks for recruiting quality participants.
Discover how to choose the right survey question type for each research objective. This article covers all major question formats, when each works best, common mistakes to avoid, and proven examples from successful research teams.
This comprehensive article covers question design principles, survey logic, validation techniques, and proven frameworks from teams running successful research programs.
Discover how to collect meaningful user feedback that actually improves your product. This article covers collection methods, analysis frameworks, and real examples from product teams.