Discovery Governance & KPIs
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.
Lessons
Evidence thresholds: why they matter
How to set risk-based approval thresholds
How to create a discovery definition of done
guardrails vs gates in product development
How to publish a one-page discovery policy
How to measure research velocity
How to measure % bets with linked evidence
How to track lead time from question to decision
How to set a quality bar for notes and insights
How to monitor repository health metrics
Ethics and consent in user research
How to set up data retention and access rules
How to manage participant fatigue with cooldown periods
How to run sampling checks for fairness
Bias watch in decisions
How to maintain decision log standards
How to run a lightweight evidence review
How to run a discovery community of practice
How to run calibration sessions for research quality
How to run a rolling monthly audit
Leading vs lagging indicators
How to set up small team governance
How to set up research governance in larger organizations
How to run weekly discovery health reviews
How to run quarterly discovery retros
How to create exception paths for urgent bets
How to keep KPIs from being gamed
How to write executive comms that build trust
What is evolving governance over time?
Part of Product Discovery
Master product discovery: methods, cadence, and opportunity mapping that turn insights into action.
View full courseOther modules in this course
Discovery Principles & Operating System
Set up the habits, roles, rules, and rhythms that make discovery continuous.
Recruiting System & Sampling
Build a repeatable system to find, screen, schedule, and maintain the right participants every week.
Discovery Methods Toolbox
Pick the right research method for the question. Learn how to run interviews, surveys, product data checks, quick prototypes, diary studies, and usability tests.
Insight Pipeline & Repository (AI-assist)
Build a clean insight pipeline from capture to synthesis, then store findings in a simple, searchable repository.
Opportunity Mapping Methods
Turn raw insights into a clear map of opportunities that tie to outcomes.
Assumption Mapping & Risk Reduction
Identify what must be true for your idea to succeed, map those assumptions by importance and evidence, then run the smallest tests that can break the risky ones first.
From Insight to Bets
Turn solid insights into clear product bets. You'll learn how to write a short opportunity brief, frame falsifiable hypotheses, set success and guardrail metrics.
Collaboration & Stakeholder Rituals
Make discovery a team sport. Set up simple rituals with design, engineering, and stakeholders so learning turns into decisions.
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