Opportunity Scoring (Pragmatic Framework: Focus / Business)
SkillAI & modelsScore and rank product opportunities objectively with the Pragmatic Institute Opportunity Scoring model — across distinctive competency fit, competitive landscape, investment level, and impact to buyers/users. Use when the PM asks which idea to pursue, "score these opportunities", prioritize projects/bets, or compare options objectively instead of by opinion. Produces an Opportunity Scorecard as a Markdown or Word .docx artifact.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Opportunity Scoring (Pragmatic Framework: Focus / Business) skill
What this skill tells your AI
The instructions your AI receives, as published by julianoczkowski/product-manager in skills/pm-opportunity-scoring/SKILL.md and read by ahel’s review.
Evaluate candidate opportunities objectively so a decision rests on evidence, not the
loudest voice. Score each opportunity on four attributes using a 1-to-5 scale where
1 = Least Favorable and 5 = Most Favorable. See ../pm-copilot/references/framework.md.
The four attributes (1 = least favorable, 5 = most favorable)
| Attribute | What it measures | 1 (least) → 5 (most) |
|---|---|---|
| Distinctive Competencies | How much it relies on abilities we already have (valued, different, provable) | 1 = requires building a new competency → 5 = directly uses existing strong competencies |
| Competitive Landscape | Size/strength of alternatives | 1 = highly competitive (rival has pricing power/brand equity) → 5 = low competition (we can freeze out the market) |
| Investment Level | Resources (people, material, facilities) required | 1 = very high (ground-up build) → 5 = very low (re-use existing assets) |
| Impact to Buyers/Users | Consequences for current & potential customers | 1 = negative outweighs positive → 5 = significant positive impact / high ROI for buyer |
Total = sum of the four scores (4–20). Rank opportunities by total, but read the per-attribute scores too — a low Investment + high Impact "no brainer" may beat a higher total that depends on a competency you don't have.
Method
- List the candidate opportunities (ideally ones already validated as urgent, pervasive
and willing-to-pay — see
pm-market-problems). - Score each attribute 1–5 and write the rationale (the evidence) for each score.
- Sum, rank, and discuss — especially where scores are low on Distinctive Competencies (can we really win?) or Investment (can we afford it?).
Interview the user for inputs (batch questions)
- What are the opportunities to compare? (Name each + the market problem it solves.)
- For each: do we already have the competencies to deliver it, or must we build them?
- How competitive is the space (who else, how entrenched)?
- Rough investment — reuse existing assets, or ground-up?
- Expected impact/ROI for buyers and users (and any downside)?
Artifact template
# Opportunity Scorecard — <product/BU>
**Company:** <company> · **Feature / Product:** <feature / product name>
**Author:** <author> · **Date created:** <date> · **Version:** 1.0
**Scale:** 1 = Least Favorable → 5 = Most Favorable
| Opportunity | Distinctive Competencies | Competitive Landscape | Investment Level | Impact to Buyers/Users | Total | Rank |
| :--- | ---: | ---: | ---: | ---: | ---: | ---: |
| <Opportunity A> | 4 | 3 | 2 | 5 | 14 | 2 |
| <Opportunity B> | 5 | 4 | 4 | 4 | 17 | 1 |
## Rationale (evidence behind each score)
### <Opportunity A>
- **Distinctive Competencies (4):** <why>
- **Competitive Landscape (3):** <why>
- **Investment Level (2):** <why>
- **Impact to Buyers/Users (5):** <why>
## Recommendation
<Which opportunity(ies) to pursue and why — reference the scores and the market evidence.>
Deliver the artifact
Follow ../pm-copilot/references/artifact-output.md: confirm inputs, ask Markdown
or .docx, write the .md, convert via your environment's native document-creation capability on request. Next stage:
build the full business case for the winner with pm-product-canvas.
Signals
- GitHub stars
- 32
- Forks
- 3
- Last commit
- Jul 2026
Advanced
- Catalog kind
- skill
- Gateway key
pm-opportunity-scoring- Source
- github.com/julianoczkowski/product-manager