Customer insight tools: How to extract actionable data
A practical guide to customer insight tools and processes that help product teams turn raw data into clear, actionable decisions.
Insights on expert networks, market research, UX research, and AI training from the CleverX team.
A practical guide to customer insight tools and processes that help product teams turn raw data into clear, actionable decisions.
A clear breakdown of heuristic evaluation and Nielsen’s 10 usability principles, with real examples and guidance on when to use it.
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.
7 sourcing strategies to recruit high-quality research participants: panels, support, community, platforms, email, in-product, partners.
Learn how to score the System Usability Scale (SUS) step by step, interpret results, and avoid common mistakes when benchmarking usability.
Learn how to research user persona motivations and apply them to onboarding, feature prioritization, messaging, and retention using real qualitative and behavioral signals.
Field studies: observe users in their real environment to uncover workarounds, context, and hidden needs, from planning to analysis.
Tree testing checks your IA by having users find items in a text-only hierarchy, exposing navigation problems early. Free & paid tools compared.
UX audit checklist: evaluate UX across navigation, content, design, accessibility, and performance, identify issues and prioritize fixes.
AB tests validate UI changes with real user behavior: show variants, measure outcomes, and pick the design that improves key metrics and reduces risk.
Predictive analytics consulting guide for leaders. Learn services, CRISP-DM roadmap, tool selection, common challenges, and ROI measurement.