Read your diagnostic brief with confidence
Use the score to orient yourself, then let the evidence and priority recommendations determine the next action.
Practical steps
A clear way through
- 01
Read the four score views
Use the overall result with the message, technical, shared, and Book-specific scores to see what is driving the number.
- 02
Separate shared from specialist criteria
Every Book uses a 60-point shared foundation and a 40-point page-type assessment.
- 03
Check measurement coverage
Look for areas that were not measured before treating an absence as a content problem.
- 04
Start with one priority
The strongest first action is usually the recommendation tied to the clearest evidence and customer outcome.
- 05
Keep the before-and-after record
Rescan when a material change is live so the next result has a meaningful comparison point.
How the points work
The overall score combines a 60% shared foundation with a 40% Book-specific assessment. Shared criteria cover first-visit comprehension, verifiable evidence, next-step clarity, browser performance, and technical or search foundations. The specialist criteria change by Book: landing-page value and differentiation for GrowthBooks, task completion for ProductBooks, role and candidate confidence for PeopleBooks, and pricing economics for ProfitBooks.
Message and technical scores are normalized views of the same measured criteria; they do not add extra points. Missing browser measurements reduce coverage and are disclosed rather than silently treated as a page failure.
What the brief contains
Each diagnostic brings together evidence-backed criteria, their interpretation, and recommended next actions. Recommendations may be refined for clarity, but the transparent scored rules remain the basis for the result.
How version changes are handled
When a Book publishes a materially different rubric, the next completed scan starts a new comparison baseline. Monitoring does not report the scoring-model change as though the page itself changed.
What it does not replace
A review cannot know your commercial context, research findings, or analytics without those inputs. Use it to focus a conversation, experiment, or editorial review—not to automate a decision.
Keep going