What to remember
- Attractiveness primarily describes conditions outside the company.
- Competitive strength describes a relative capability in a defined niche.
- The two scores require different evidence, owners and review dates.
- A matrix prepares trade-off questions; it does not decide to invest or exit.
One combined score creates a diagnostic trap
The MIT lecture notes explicitly separate external factors used to read industry opportunities and threats from internal factors used to examine strengths and weaknesses. The distinction appears on pages 2 and 3 of the complete PDF.
A single average destroys useful information. A niche may be structurally promising while the company lacks distribution, credibility or cost control. Another may be modest while the company holds a highly defensible position.
Do external conditions make this niche worth investigating?
Against named competitors, which capabilities make success plausible?
Which gap must be evidenced, reduced or accepted before resources are committed?
Attractiveness qualifies the conditions of the niche
The Applied Sciences paper describes attractiveness as an assessment associated with external factors that the company cannot control. The statement and method appear on pages 10 and 11 of the scientific PDF.
Depending on the decision, the diagnosis may cover potential, growth, structural profitability, competitive intensity, barriers, regulation, channel access or cyclicality. The list must fit the niche and be justified; copying a generic checklist does not make it objective.
Each factor should have a definition, dated source, geography, owner and review condition. A market change should be able to alter this diagnosis without rewriting the company’s competitive strength.
Competitive strength qualifies a relative capability
The MIT material links the internal axis to sources of competitive advantage. The 2023 paper describes strength as an assessment of internal factors that are largely controllable. “Relative” matters: a capability has strategic meaning only in a defined niche and against defined competitors.
Criteria may include distribution access, perceived differentiation, relative cost, quality, innovation capacity, commercial coverage or deployable resources. Their relevance changes with the critical success factor being assessed.
| Element | Market attractiveness | Competitive strength |
|---|---|---|
| Object | Conditions of the niche | Relative company capability |
| Comparison | Across niches or periods | Against named competitors |
| Evidence | Market data and external context | Internal data, customers and benchmarks |
| Leverage | Often weakly controllable | Often improvable, with cost and delay |
| Review | When market conditions change | When capabilities or competitors change |
Weights expose judgment; they do not make it objective
In the 2023 application, the decision-maker evaluates the questions and allocates weights whose total equals 100. This makes the hierarchy of criteria reviewable. It does not turn criteria, sources or ratings into indisputable facts.
The authors also state that experienced executives or consultants are required to answer the questionnaire. This limitation on page 18 of the PDF shows that calculation cannot compensate for weak expertise or an ill-defined scope.
- Define the niche
Set market, product, segment, geography and horizon.
- Separate evidence families
Do not use internal strength as evidence of attractiveness, or market growth as proof of ability to win.
- State weights and polarity
Show what matters, in which direction and why.
- Preserve disagreement
Expert variance is evidence to investigate, not a value to smooth away.
- Set the review
Give every critical factor a signal, owner and date.
Two niches can reverse the reading
Purely illustrative example on a locally defined 0-to-100 scale. Weights total 100. A high adverse criterion is reversed as 100 minus the raw score. These conventions make the calculation reproducible; they are not a universal product scale.
| Niche | Attractiveness | Competitive strength | Question to investigate |
|---|---|---|---|
| A | 70.5 = 35% × 80 + 35% × 70 + 30% × 60 | 39.0 = 40% × 45 + 35% × 35 + 25% × 35 | Which capabilities can be built, at what cost and in what time? |
| B | 57.75 = 35% × 50 + 35% × 55 + 30% × 70 | 73.25 = 40% × 80 + 35% × 75 + 25% × 60 | Does a strong position justify commitment to a merely average niche? |
A single average would erase the contrast. The committee should not ask the same question for A and B. The first calls for a capability plan or exposure limit; the second calls for a view of defensible value, duration and allocation alternatives.
Four configurations open different questions
What confirms that both diagnoses will endure, and how much investment capacity is available?
Can the missing capability be built, acquired or tested before the opportunity closes?
Does the position still create defensible value, and for how long?
Which obligations, exit options or missing evidence prevent an immediate conclusion?
These are not automatic prescriptions. They turn a matrix position into verifiable questions before the trade-off.
GE in 2024: a scope case, not proof of method
GE’s complete Form 10-Q confirms that it completed the GE Vernova separation on 2 April 2024 and now operates as GE Aerospace. GE’s full announcement documents approval and scope.
The case shows why a portfolio must distinguish very different market conditions from the strengths of each business. The public sources reviewed do not show that the GE/McKinsey matrix was used for this decision. Presenting the case as proof of method would be an unsupported attribution.
What Grid structures, and where the analysis stops
In Grid, a niche combines a market, product and segment. Attractiveness factors, critical success factors, their criteria, weights and polarities remain distinct. The structure helps explain where a score comes from and what should change it.
Grid also distinguishes the absolute score from relative portfolio placement. The former preserves the evaluation result; the latter depends on the comparison population and can move when that population changes.
This analysis structures and compares market-attractiveness and competitive-strength factors using the selected scope, evidence and assumptions. It informs the trade-off without replacing data validation, decision-makers’ judgement or the investment decision.
What this analysis does and does not establish
- It supports keeping two diagnoses and two evidence families.
- It makes criteria, weights, polarity and disagreement auditable.
- It does not turn a weighted score into objective truth.
- It does not guarantee that a favourable position produces superior returns.
- It does not attribute an undeclared method to GE.
The matrix is valuable not because of the colour of a box, but because the committee can retrieve the evidence for each axis, understand the source of a gap and define what will reopen the decision.
Full sources
Research and method
- MIT OpenCourseWare, Portfolio Management, full PDFExternal and internal factors: pp. 2-3. Matrix: p. 7.
- Yildiz et al. (2023), product mix and GE/McKinsey matrix, full PDFDimensions and weights: pp. 10-11. Limits: p. 18. Bounded application.
Real-world case
- General Electric, Q1 2024 Form 10-Q, complete filingCompleted separation and new GE scope.
- General Electric, GE Vernova spin-off approval, full announcementSecond direct source on the decision and scope.