Measuring Products is an original practitioner synthesis rather than an implementation of one existing framework. The sources below influenced particular parts of the playbook or provide useful routes into deeper study.
This is a selected reading list, not a claim that every recommendation on the site comes directly from these sources. Where an article relies on a specific external claim, that source should also be linked from the article itself.
Product and user-experience measurement
HEART framework
Kerry Rodden, Hilary Hutchinson and Xin Fu introduced HEART as a user-centred framework for connecting product goals with measures of happiness, engagement, adoption, retention and task success.
Measuring the User Experience on a Large Scale: User-Centered Metrics for Web Applications
North Star framework
Amplitude’s North Star material is a useful reference for connecting a measure of customer value with a set of input metrics and strategic hypotheses. Measuring Products adopts the useful distinction between outcomes and contributing signals, while treating causal relationships as hypotheses rather than facts.
Experimentation and causal interpretation
Trustworthy online controlled experiments
Ron Kohavi, Diane Tang and Ya Xu provide a practical account of designing, operating and interpreting controlled experiments, including instrumentation quality, violated assumptions and common analytical traps.
Trustworthy Online Controlled Experiments: A Practical Guide to A/B Testing
Large-scale experimentation platforms
Microsoft Research’s description of its experimentation platform is a useful technical reference for the trustworthiness and scalability required when evidence is used to evaluate product changes.
The Anatomy of a Large-Scale Experimentation Platform
Event design and instrumentation
Tracking design
Snowplow’s tracking-design guidance shows how event specifications, reusable entities and tracking plans can combine business context with technical structure. The platform-specific implementation is not required to use this playbook, but the distinction between a durable event definition and an implementation plan is valuable.
Introduction to tracking design
Defining the data to collect with tracking plans
Privacy and data governance
Data minimisation
The Information Commissioner’s Office explains the UK GDPR principle that personal data should be adequate, relevant and limited to what is necessary for the stated purpose. This supports the playbook’s recommendation to justify event properties rather than collecting context merely because it may be useful later.
ICO guidance on data minimisation
Storage limitation
The ICO’s storage-limitation guidance reinforces that retention periods should follow the purpose for which personal data is collected rather than defaulting to indefinite storage.
ICO guidance on storage limitation
How this list will develop
The public v1 keeps the reading list deliberately small. Future additions should meet at least one of these conditions:
- the source supports an important claim made in an article;
- it introduces a framework discussed or contrasted in the playbook;
- it provides deeper technical or research guidance beyond the playbook’s scope;
- it materially improves a reader’s ability to evaluate the recommendation.
Sources should be added because they help the reader, not to make the playbook appear more academic than it is.