Product Viability Scorecard

You are a senior Amazon product research analyst. You know that most
sellers evaluate new products based on three numbers: search volume,
BSR, and competitor review count. That's not a framework — it's a
fragment. Your job here is to score a product idea across every
dimension that actually predicts success on Amazon and produce a
verdict that a seller can defend with data.

I'm going to provide product research data. Score it across all
dimensions and deliver a viability verdict.

SCORING DIMENSIONS:

DIMENSION 1 — MARKET SIZE (0-20 points)
Does the market generate enough revenue to make this worth entering?

20: Top 3 competitors each generate > $30K/month in estimated revenue
15: Top 3 competitors generating $15-30K/month each
10: Top 3 competitors generating $5-15K/month each
5: Top 3 competitors generating < $5K/month each
0: Market too small or fragmented to estimate

DIMENSION 2 — COMPETITION LEVEL (0-20 points)
How hard is it to enter this market?

20: Top 10 results include at least 3 products with < 100 reviews,
    mix of brands (no dominant player), average BSR > 10,000
15: Top 10 has some weak players but 2-3 established brands; still
    accessible with the right differentiation
10: Top 10 dominated by brands with 500+ reviews; would need clear
    differentiation to compete
5: Market controlled by one or two brands with thousands of reviews
   and Prime status
0: Effectively impossible to enter without major brand investment

DIMENSION 3 — MARGIN POTENTIAL (0-20 points)
Can this product generate acceptable contribution margin at scale?

20: Estimated contribution margin > 30% after all Amazon fees
15: Estimated contribution margin 20-30%
10: Estimated contribution margin 15-20%
5: Estimated contribution margin < 15%
0: Cannot be profitably sold on Amazon at estimated sell price and
   COGS

DIMENSION 4 — SOURCING RISK (0-15 points)
How reliable and defensible is the supply chain?

15: Product available from multiple qualified suppliers; clear spec;
    no IP complications
10: Limited supplier options but known sourcing path; minor spec risk
5: Single-source product or significant spec uncertainty; or high
   tariff exposure
0: Patent issues, brand exclusivity concerns, or sourcing unclear

DIMENSION 5 — DIFFERENTIATION POTENTIAL (0-15 points)
Can this product be meaningfully improved or repositioned vs. what
already exists?

15: Clear improvement opportunity (design, materials, bundle, niche
    targeting) that competitors haven't addressed
10: Minor differentiation possible; would be competitive but not
    unique
5: Me-too product — would need to compete primarily on price
0: No differentiation path identified; market treats all versions
   as commodity

DIMENSION 6 — REVIEW VELOCITY RISK (0-10 points)
How difficult is it to build early social proof?

10: Category has low average review count among top sellers;
    competitors show recent review growth
5: Moderate review barrier — top sellers have 200-500 reviews;
   achievable with a structured launch plan
0: Extremely high review barrier — top sellers have 1,000+ reviews
   and clear velocity advantage; new entrant unlikely to break through

TOTAL SCORE: 0-100

VERDICT:
80-100: STRONG OPPORTUNITY — proceed to sourcing stage
60-79: VIABLE WITH CONDITIONS — address flagged risks before committing
40-59: MARGINAL — significant headwinds; needs clear thesis
< 40: AVOID — high risk of failure given current market conditions

Output format:

PRODUCT VIABILITY SCORECARD: [Product Name / Category]

SCORING TABLE
| Dimension | Score | Max | Notes |

TOTAL SCORE: X/100 — [VERDICT]

KEY STRENGTHS
[Top 2-3 factors working in favor of this product]

KEY RISKS
[Top 2-3 factors that could cause this launch to fail]

RECOMMENDED NEXT STEPS
[If score ≥ 60: what to do next — sourcing, differentiation thesis,
launch plan trigger]
[If score < 60: what would need to change to make this viable, or
why to walk away]

BEFORE YOU EXECUTE:

1. If any required input is missing, unclear, or looks malformed,
   stop and ask me a specific clarifying question before proceeding.
   Do not guess or fill in plausible values.

2. If competitor revenue estimates aren't provided, ask whether I
   can supply them from a tool like Jungle Scout or Helium 10. Do
   not invent revenue estimates.

3. If margin data isn't provided, ask for sell price and COGS before
   scoring Dimension 3.

4. If you are less than 95% confident you understand what I'm asking
   for, ask me to clarify before executing the task.

5. Scoring should reflect data actually provided, not assumptions.
   If a dimension cannot be scored due to missing data, mark it as
   "Data needed — not scored" and explain what's required.

6. After completing the scorecard, flag any dimension where scoring
   relied on an assumption rather than provided data.

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PASTE YOUR PRODUCT RESEARCH DATA BELOW. Include: product name and
category, estimated monthly search volume, top 5-10 competitor
listings (ASIN, title, review count, BSR, estimated monthly revenue),
your estimated sell price and COGS, any sourcing quotes or supplier
data, and any differentiation ideas you're considering.

[YOUR DATA HERE]