Put light structure around discovery so teams make better decisions without red tape. This module covers evidence thresholds, a simple definition of done for discovery, a few habit KPIs (like research velocity), knowledge management, and org practices that keep learning ethical and useful. It follows your outline on evidence thresholds, research velocity, and knowledge management as org-level topics.
Put light structure around discovery so teams make better decisions without red tape. This module covers evidence thresholds, a simple definition of done for discovery, a few habit KPIs (like research velocity), knowledge management, and org practices that keep learning ethical and useful. It follows your outline on evidence thresholds, research velocity, and knowledge management as org-level topics.
In modern product teams, progress depends on clear playbooks and measurable outcomes. This module gives you practical steps you can apply immediately while keeping alignment with the broader Product Discovery curriculum.
If you are working on AI-enabled workflows, review the glossary terms Prompt library and Reflection loop for reusable implementation patterns.
This module is designed for learners following Product Discovery, especially if you want to improve discovery governance & kpis with practical, repeatable steps.
Estimated completion time is 145 minutes across 29 lessons.
Complete lessons in order, apply one concept immediately in your current project, and review your progress using the metrics section below.
Continue to the next module, then read the related articles to deepen your understanding with tactical examples and case studies.
Master product discovery: methods, cadence, and opportunity mapping that turn insights into action.
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