By name: product-value-proposition description: Rapidly craft, prototype, and validate differentiated value propositions before committing engineering cycles.
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
- Target persona canvas + JTBD statements.
- Competitive teardown (positioning, pricing, retention hooks).
- Measurement plan (success metrics, experiment KPIs, survey scripts).
Workflow
- Promise crafting
- Write 3–5 alternative promise statements highlighting outcome, emotional payoff, and proof.
- Stress-test for clarity, distinctiveness, believability.
- Artifact production
- Choose fastest medium: storyboard, Figma mock, interactive prototype, gameplay video, tokenomics sim.
- Include pricing/commitment ask if relevant.
- 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.
- 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.