Population
Customers completing explanation-heavy tasks on desktop and mobile.
All projects
seeking partner
When does multimodal output justify its compute cost?
Measure whether image, voice, or animation improves successful outcomes enough to pay for additional latency and compute.
Chips, Cloud & ComputeHYPOTHESIS
A targeted visual explanation will reduce time-to-correct-action by at least 20% while increasing inference cost by less than 12%.
PRIMARY METRIC
Compute cost per correctly completed task.
MEANINGFUL THRESHOLD
20% faster correct action at less than 12% additional inference cost.
BUSINESS TARGET
A positive unit-economic case for a premium multimodal feature.
DECISION RULES
Unit economics positive
Launch a limited premium pilot.
Comprehension rises but economics fail
Reduce modality frequency or complexity.
No material benefit
Avoid the compute investment.
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
Text plus a generated visual explanation selected only for high-complexity steps.
Comparator
Text-only response from the same model.
Secondary metrics
Latency tolerance · Comprehension · Preference · Repeat use