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PlaybookApr 20, 2026 · 7 min read

How We Score Opportunities

The exact five-dimension model behind every Opportunity Score — demand, revenue, competition, build difficulty, and trend — and how the weights are applied.

ScoringFrameworkRadar
CLCultInnovate Lab · Research Desk
Framework

Opportunity Scoring Model

  1. 1
    Measure market demandAggregate search, mention, and engagement signals. Demand is the single strongest driver — weighted at 32% of the score.
  2. 2
    Estimate revenue potentialWillingness to pay, contract sizes, and expansion headroom. Weighted at 28% — durable revenue beats vanity reach.
  3. 3
    Discount for competitionDensity and strength of incumbents, inverted at 22%. A crowded field pulls the score down.
  4. 4
    Discount for build difficultyEngineering, data, and distribution effort to a credible v1, inverted at 18%. Harder builds cost score.
  5. 5
    Adjust for trendA momentum bonus or penalty of up to ±8 before the score is capped 0–100. Rising signals earn the edge.

Why a single number

Every signal earns one 0–100 Opportunity Score so a visitor can compare openings at a glance. The point is transparency: the model is legible, not a black box.

The formula is fixed — demand 32%, revenue 28%, competition 22% (inverted), build difficulty 18% (inverted), trend ±8 — so the same signal always scores the same way.

How we use it

The score does not make the decision; it ranks the queue. High scorers get sourced into initiatives first, where the thesis is tested against real validation gates.

Read the validation playbook for the gates that come after the score.

Ecosystem links

How this connects to the rest of the platform

This resource is part of one connected intelligence graph. Trace it into the radar signals, initiatives, ventures, and solutions it relates to.

InitiativesValidating the thesis
VenturesOperating the build
SolutionsShipping to customers
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