Population
Prospective customers using an AI-supported decision product.
All projects
seeking partner
Can clearer uncertainty increase trust without reducing conversion?
Find the point at which evidence and uncertainty improve customer action rather than overwhelm or discourage it.
LLM & AI PlatformsHYPOTHESIS
Calibrated uncertainty presented with an actionable recommendation will improve appropriate customer action by at least 10% without reducing paid conversion by more than 2%.
PRIMARY METRIC
Rate of appropriate action against a predefined task rubric.
MEANINGFUL THRESHOLD
+10% appropriate action with no more than −2% conversion.
BUSINESS TARGET
Higher retention and lower complaint or refund rates.
DECISION RULES
Comprehension improves and conversion holds
Pilot the uncertainty pattern.
Comprehension improves but conversion falls
Test a lighter presentation.
No improvement
Retain the current interface.
Business outcomes are research targets, not guarantees. A null or negative result may still create substantial value by preventing investment in an ineffective product, feature, or campaign.
Intervention
Confidence, evidence, and limitations presented in a compact decision frame.
Comparator
A confident recommendation without explicit uncertainty framing.
Secondary metrics
Paid conversion · Trust calibration · Decision time