New research shows product teams are using AI to simulate customer reactions before launching features. Here's how digital twins are replacing slow, expensive customer research—and what it means for product discovery.
Learn how to run customer co-creation workshops that generate validated product ideas, deeper customer relationships, and roadmaps your users actually want. Complete guide with templates and examples.
Learn how to systematically collect customer feedback after feature launches, measure real adoption, and avoid the black hole where shipped features go to die.
New research shows AI filters are already impacting 17% of marketing teams. For product managers, this shift demands a new approach to understanding customer behavior—one built on real insights, not filtered noise.
As AI agents trigger a $2 trillion repricing in B2B software, product teams clinging to manual feedback analysis face extinction. Here's how to become AI-defensible.
Most product teams collect more customer feedback than ever, yet struggle to act on it. Here's why traditional feedback systems fail—and how AI-native approaches are changing the game for product discovery.
Learn how to identify and analyze customer workarounds to discover product opportunities your roadmap is missing. Practical framework for turning hacks into features.
Deloitte's new report shows AI is delivering measurable value in customer service. Product teams that understand customer feedback at scale will lead this shift.
Master prototype testing techniques that validate product ideas quickly and cheaply, from paper sketches to interactive prototypes.
Master the product discovery process with proven techniques, frameworks, and strategies to validate ideas before building and de-risk product decisions.
Learn how opportunity mapping helps product teams visualize the path from customer outcomes to solutions, improving discovery and prioritization.
Master the Jobs-to-be-Done framework to uncover customer motivations, improve positioning, and build products people actually need.
Learn how to structure product discovery teams for maximum learning velocity, including roles, collaboration models, and decision-making frameworks.
Learn how to run effective discovery sprints that rapidly test assumptions, explore problems, and validate solutions in 1-2 weeks.
Learn effective discovery documentation practices that turn customer insights into institutional knowledge and better product decisions.
Learn to write clear, actionable customer problem statements that align teams, guide discovery, and lead to products people actually need.
Master customer interview techniques that reveal true user needs, avoid bias, and generate actionable insights for product teams.
Learn how to build continuous discovery habits that keep your product team connected to customers and drive better product decisions every week.
Learn structured assumption testing methods to reduce product risk, validate ideas quickly, and build features customers actually want.
Learn how to collect, organize, and act on beta tester feedback. Practical strategies for product teams who want real insights, not just bug reports.
Learn practical methods to measure product-market fit using customer feedback signals. From the Sean Ellis test to churn analysis, discover data-driven approaches to validate PMF.