Conversion Clarity
Evaluates whether interested prospects understand the value, trust the proof, and progress without confusion or friction.
Evaluators apply strict evidence definitions.
Evidence that does not meet the definitions scores zero.
Typical flow
- 1Evaluate
- 2Identify missing evidence
- 3Generate evidence via operators
- 4Re-evaluate
Evaluation scope
| This evaluator decides | This evaluator does not do |
|---|---|
| Whether value is understood without explanation | Improve messaging |
| Whether messaging is consistent | Suggest sales tactics |
| Whether proof matches buyer risk | Optimise conversion |
| Whether deals stall structurally | Help you "pass" |
Evidence requirements
- Evidence must come from real users
- Behaviour outweighs opinion
- Preference outweighs enthusiasm
- Willingness to pay outweighs intent
- Missing evidence scores zero
How missing evidence is generated
If required evidence is missing, ProductBooks uses controlled operators to generate it.
Operators generate evidence. They do not decide fit.
Value Articulation Operator
Tests whether prospects can clearly articulate the product's value in their own words without repeated explanation.
Opens in ChatGPT · Returns here for evaluation
Message Consistency Operator
Determines whether the core message remains stable across touchpoints without creating confusion or drift.
Opens in ChatGPT · Returns here for evaluation
Proof–Risk Alignment Operator
Tests whether the proof presented is sufficient to reduce buyer risk at the moment of decision.
Opens in ChatGPT · Returns here for evaluation
Stall Pattern Operator
Identifies whether deals consistently stall at the same stage due to structural friction.
Opens in ChatGPT · Returns here for evaluation
Drop-Off Threshold Operator
Identifies the step at which interested prospects disengage and whether loss clusters before or after commitment.
Opens in ChatGPT · Returns here for evaluation
Evaluator contract: This evaluator applies definitions strictly. Disputes do not change scoring.