Experiment Types
Select MVP experiment formats based on risk and evidence strength.
Different experiments answer different questions. Choose the format that attacks the riskiest assumption first.
Experiment Menu
| Type | Best for | Output |
|---|---|---|
| Landing page | Offer and channel validation | Conversion and message signal |
| Concierge MVP | Workflow and value validation | Manual delivery evidence |
| Clickable prototype | UX and information architecture | Task completion and objections |
| Thin product slice | Activation and retention | Usage and support data |
| Paid pilot | Willingness to pay | Contract, budget, and success criteria |
| Community/content test | Audience and problem language | Engagement and response patterns |
Selection Guide
| Main risk | Start with |
|---|---|
| We do not know if the problem matters | Interviews or concierge MVP |
| We do not know if the message works | Landing page |
| We do not know if users understand the flow | Prototype |
| We do not know if the product can deliver value | Thin product slice |
| We do not know if customers will pay | Paid pilot |
Agentic Advantage
AI agents make it practical to build several test surfaces quickly. Use that advantage for controlled comparison, not feature sprawl. The strongest experiments still have one primary question.