Lobster Hustle
Generate signalAI-Powered Side Hustle Discovery Engine
Current Assumption
"People abandon side hustle attempts not from lack of motivation but from decision paralysis — too many options, no clear fit."
Target User
Employed professionals who want to start a side income but are overwhelmed by options and don't know what fits their situation.
Phase
Assumption Validation
Primary Signal
Decision Framework
○ Intent
Determine whether personalized, AI-matched side hustle recommendations reduce the 'I don't know where to start' drop-off and drive first action.
○ Assumption
People abandon side hustle attempts not from lack of motivation but from decision paralysis — too many options, no clear fit.
○ Experiment Design
Build a 5-question intake flow that outputs 3 personalized side hustle paths with first-week action plans. Measure completion rate of the intake and click-through on the recommended paths.
○ Decision Gates
- If intake completion > 60% -> Build deeper path content
- If users return within 7 days -> Validate retention loop
- If < 20% click any recommendation -> Pivot framing
○ Current Decision
Build MVP intake flow and validate recommendation relevance
○ Confidence LevelLow
Current Position
- Phase: Assumption Exploration.
- Testing: Does framing side hustles as skill-matched paths reduce paralysis? Will users trust AI recommendations enough to take first action?
- Decision Gates: If intake completion > 60% → Build deeper content.