SuperAPI AI Directory

product-value-proposition

Marketing & growth

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Updated 10-16 07:28

About this skill

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.