The working A prototype: use its controls to test the build question.
Decide what a product really needs to measure and what its telemetry reveals about people.
RN conceived the question, structured the evidence boundaries, designed the experience, implemented the prototype and documented its limits.
This independent prototype demonstrates an approach; it is not a deployed client system, professional advice or proof of real-world outcomes.
Work through the controls with a situation of your own rather than the sample values. The tool responds to what you put in, so the useful output comes from real input, and everything is processed in your browser as you go. Any sample content you find already loaded is there to show the shape of a filled-in state, and you can clear it and start again at any point.
The build overview sets out the question, the purpose, the role and the evidence status in one place, and the public record behind it states what changed, what another person can reuse and what supports the system. If you want to judge how far this build should be trusted, the record is the page to read, not this one.
BUILD 031-A
Privacy-Conscious Product Behavior X-Ray
Decide what a product really needs to measure and what its telemetry reveals about people.
PLAN GAPS
8 declared-plan findings
Synthetic planning fixture only. No actual behavior, person, device, identifier, or production telemetry is observed, collected, transmitted, or persisted.
DECISION COVERAGE75
PRIVACY LOAD (MAX-AWARE)82
IDENTIFIABILITY (MAX/LINKAGE)98
Synthetic event plan
Interpretation limits
- Scores are derived ordinal planning signals, not measured privacy, identifiability, benefit, legal risk, or actual user behavior.
- Purpose, consent, and legal basis are distinct; this tool does not determine whether any basis or consent is valid.
- Retention and deletion fields describe a plan, not proof that production systems aggregate, expire, delete, or honor rights.
- Aggregation does not guarantee anonymity; linkage, rare combinations, free text, location, identifiers, and sensitive inference require contextual review.
Evidence: NIST Privacy Framework (guidance, reviewed 2026-08-19), ICO data minimisation guidance (guidance, reviewed 2026-08-19)