choice-architecturelisted

# Choice Architecture (Nudge Design) ## When to Apply - Presenting 3-option Action proposals - Designing any choice flow for the founder - Post-choice reinforcement moments - Session opening and closing design - Any time the founder makes a decision through the system ## Core Framework ### Smart Default vs Active Choice Auto-select presentation mode based on data confidence: **Mode A — Smart Default (segment data sample >= 20):** ``` [selected] Option B: LinkedIn DM, casual, 10 CTOs <- RECOMMENDED "Based on 340 similar actions: 28% avg response." [ ] Option A: Email sequence, professional, 50 leads [ ] Option C: Twitter thread, thought-leadership Pre-selected default. One tap to proceed. Non-recommended options: one deliberate extra step (good sludge). ``` **Mode B — Active Choice (sample < 20 or high preference diversity):** ``` ( ) Option A ( ) Option B ( ) Option C "I don't have enough data to recommend one. This is your call." ``` Threshold: segment data sample >= 20 triggers Smart Default. ### Outcome Mapping (Attribute -> Experienced Result) Translate abstract attributes to concrete experiential outcomes: ``` Instead of (attribute-based): "Email sequence, professional tone, 50 leads, this week" Show (outcome-mapped): "In 2 weeks: ~5 replies, ~1 demo booking. Cost: $2.95. Your time: 30 min to review drafts." ``` Projections from segment benchmarks + user's historical performance. ### Channel Factors (Concrete Next Step per Option) Each option