Start where you are
Choose the problem you need to solve
Read the playbook in sequence or jump directly to the article that matches the work in front of you.
- Understand the model See how questions, workflows, events, metrics and decisions fit together. Article 4 · The Workflow–Event–Metric model
- Map a workflow Define the behaviour, boundaries and completion rule before choosing events. Article 5 · What is a workflow?
- Define better events Describe observable facts precisely enough to implement and trust them. Article 11 · What makes a good event?
- Create useful metrics Start with a question, then define the unit, population, calculation and limits. Article 13 · Metrics should answer questions
- Design a decision-led dashboard Separate monitoring, diagnosis, evaluation and measurement health. Article 20 · Designing dashboards around decisions
- Review an existing system Find what should be fixed, simplified, documented, accepted or retired. Article 30 · Measurement review checklist
Reusable tools
Put the approach into practice
- Workflow catalogue template Use a workflow catalogue to maintain the purpose, boundary, unit, evidence and ownership of the product behaviours that matter.
- Event catalogue template Use an event catalogue to maintain the durable meaning, recording rule, context and limitations of the events your measurement depends on.
- Metric catalogue template Use a metric catalogue to maintain the purpose, population, calculation, evidence, interpretation and ownership of important product metrics.
- Instrumentation specification template Use an instrumentation specification to turn an approved event definition into a delivery-specific implementation and validation contract.
Complete playbook
Contents
Section 1
Think in measurement, not dashboards
Understand why product measurement should start with questions, behaviour, evidence and decisions rather than dashboards.
Section 2
Map what matters
Define workflows, boundaries, steps, exits and completion rules so the team knows what is worth observing.
Section 3
Turn behaviour into metrics
Turn observable behaviour into events, populations, metrics, dimensions and signals that can support product decisions.
Section 4
Design the measurement system
Connect questions, workflows, evidence and metrics through frameworks, specifications, metric structures and decision-led views.
Section 5
Operate the measurement system
Keep measurement useful, trustworthy, owned and maintained as products, teams and decisions change.
Section 6
Use the toolkit
Apply the approach with practical catalogues, specifications, naming guidance and a measurement review checklist.
Reference