Green Acceptance Sweet Spot & Recommendation
R_i = 50% Customer Acceptance + 50% Sustainability
Green Acceptance Sweet Spot
Priority Testing Zone — illustrative demo data
Priority Concepts
CFG-062
Bamboo Fiber · Modern Ulos · Rp45.000
Sustainability
69/100
Customer Acceptance
77/100
Evidence Sufficiency
MEDIUM
Confidence
Low
Main Strengths
- + strong customer acceptance
- + strong cultural authenticity
- + high packaging attractiveness
Main Trade-offs
- − limited empirical evidence on willingness-to-pay
Strong product attribute evidence, but no primary customer validation yet.
CFG-016
Recycled Kraft Paper · Batak Gorga · Rp45.000
Sustainability
67/100
Customer Acceptance
77/100
Evidence Sufficiency
MEDIUM
Confidence
High
Main Strengths
- + strong customer acceptance
- + strong cultural authenticity
- + high packaging attractiveness
Main Trade-offs
- − material cost may require supplier verification
Customer Twin score is calibrated against real human validation responses.
CFG-024
Recycled Kraft Paper · Batak Gorga · Rp55.000
Sustainability
68/100
Customer Acceptance
75/100
Evidence Sufficiency
MEDIUM
Confidence
Low
Main Strengths
- + strong customer acceptance
- + strong cultural authenticity
- + high packaging attractiveness
Main Trade-offs
- − higher price point
- − limited empirical evidence on willingness-to-pay
Strong product attribute evidence, but no primary customer validation yet.
Product Comparison
Prototype simulation results
| Concept | Material | Design | Price | Sustainability | Acceptance | Decision | Next Action |
|---|---|---|---|---|---|---|---|
| CFG-062 | Bamboo Fiber | Modern Ulos | Rp45.000 | 69/100 | 77/100 | BUY | Human Test |
| CFG-016 | Recycled Kraft Paper | Batak Gorga | Rp45.000 | 67/100 | 77/100 | BUY | Physical Prototype |
| CFG-024 | Recycled Kraft Paper | Batak Gorga | Rp55.000 | 68/100 | 75/100 | BUY | Human Test |
Why MCDM?
The product concept space contains multiple alternatives evaluated across competing criteria. A transparent multi-criteria decision rule is therefore used for prototype screening.
Prototype method: Weighted Sum Model. Future research: AHP, data-driven weighting, or TOPSIS comparison.