Discovery Governance & KPIs module icon - Product Management course

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.

145 minutes29 lessons

Lessons

1

Evidence thresholds: why they matter

2

How to set risk-based approval thresholds

3

How to create a discovery definition of done

4

guardrails vs gates in product development

5

How to publish a one-page discovery policy

7

How to measure research velocity

8

How to measure % bets with linked evidence

9

How to track lead time from question to decision

10

How to set a quality bar for notes and insights

11

How to monitor repository health metrics

12

Ethics and consent in user research

13

How to set up data retention and access rules

14

How to manage participant fatigue with cooldown periods

15

How to run sampling checks for fairness

16

Bias watch in decisions

17

How to maintain decision log standards

18

How to run a lightweight evidence review

19

How to run a discovery community of practice

20

How to run calibration sessions for research quality

21

How to run a rolling monthly audit

22

Leading vs lagging indicators

23

How to set up small team governance

24

How to set up research governance in larger organizations

25

How to run weekly discovery health reviews

26

How to run quarterly discovery retros

27

How to create exception paths for urgent bets

28

How to keep KPIs from being gamed

29

How to write executive comms that build trust

30

What is evolving governance over time?

Context and why it matters in 2026

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.

Step-by-step playbook

  1. Step 1: Evidence thresholds: why they matter
  2. Step 2: How to set risk-based approval thresholds
  3. Step 3: How to create a discovery definition of done
  4. Step 4: guardrails vs gates in product development
  5. Step 5: How to publish a one-page discovery policy
  6. Step 6: How to measure research velocity

Templates and examples

  • 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

If you are working on AI-enabled workflows, review the glossary terms Prompt library and Reflection loop for reusable implementation patterns.

Metrics to track

  • Module completion rate from first to last lesson.
  • Lesson-to-lesson progression drop-off points.
  • Time to complete versus the estimated 145 minutes.
  • Retention into the next module and downstream lesson activity.

FAQ

Who is this module for?

This module is designed for learners following Product Discovery, especially if you want to improve discovery governance & kpis with practical, repeatable steps.

How long does this module take?

Estimated completion time is 145 minutes across 29 lessons.

How should I study this module?

Complete lessons in order, apply one concept immediately in your current project, and review your progress using the metrics section below.

What should I do after this module?

Continue to the next module, then read the related articles to deepen your understanding with tactical examples and case studies.

Part of Product Discovery

Master product discovery: methods, cadence, and opportunity mapping that turn insights into action.

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