Value Proposition Lab

Intent

• •Turn opportunity theses into sharp promises that resonate with target personas and platforms.
• •Use lightweight artifacts (narratives, prototypes, landing pages) to test resonance and pricing early.

Inputs

1. •Target persona canvas + JTBD statements.
2. •Competitive teardown (positioning, pricing, retention hooks).
3. •Measurement plan (success metrics, experiment KPIs, survey scripts).

Workflow

1. •Promise crafting
   • •Write 3–5 alternative promise statements highlighting outcome, emotional payoff, and proof.
   • •Stress-test for clarity, distinctiveness, believability.
2. •Artifact production
   • •Choose fastest medium: storyboard, Figma mock, interactive prototype, gameplay video, tokenomics sim.
   • •Include pricing/commitment ask if relevant.
3. •Signal testing
   • •Run rapid qualitative tests (5–8 target users) plus at least one quantitative signal (ad test, waitlist opt-in, fake door).
   • •Collect friction language and willingness-to-pay indicators.
4. •Decision log
   • •Rank propositions by signal strength vs. confidence; document go/hold/kill decisions.

Verification

• •Experiments include control + clear success thresholds.
• •Learnings and next steps stored in shared experiment log.
• •Downstream teams notified when a proposition graduates to build stage.