Evaluating Strategic Options: A Simple Scoring Matrix

Why strategic decisions in small businesses often go wrong

Strategic decisions are rare in small businesses. That is exactly why practice is lacking. When a decision comes up, such as whether the business should enter a new region, build a new offering, or deliberately expand its core business, there is usually already an idea on the table. It comes from the owner, from a customer, or from a conversation at a trade fair. What is missing is the comparison with the alternatives.

Put simply, the question is: how does a small business evaluate strategic options so that the decision is traceable and protected against its own preferences? To answer it, we first look at what research knows about why decisions fail, then clarify the terms, present the options matrix as a mental model, work through an example, weigh two perspectives, and finally arrive at a template.

The most dangerous option is the only one that was examined.

What research shows about why decisions fail

Over two decades, Paul Nutt (1999) collected and analyzed real decisions in organizations. The basis is 356 decisions by managers in medium-sized and large organizations in the US and Canada, including companies, public agencies, and nonprofits. They concerned everyday management decisions: new products, equipment, staffing, pricing, marketing, organization. Nutt reconstructed the processes from interviews with those involved and linked them to the later outcome.

The most important finding: failure was usually due not to external circumstances but to the approach. Failed decisions often had in common that a solution was imposed, the search for alternatives remained narrow, and implementation was pushed through with power. More successful were managers who made the need for action clear at the outset, set objectives, searched openly for solutions, and involved key people. Nutt also describes why the well-known is so rarely done: under time pressure, decision-makers take shortcuts and copy what worked elsewhere.

Terms: option, criterion, and weighted scoring

A strategic option is a possible path that commits the business for several years and cannot be reversed without cost: a new region, a new service, a specialization, an acquisition. Every list of options includes carrying on as before, meaning continuing the existing business with small improvements. It is a real option and often a good one.

A criterion is a yardstick by which options are measured, such as earnings, risk, or capacity required. A distinction is made between must-have criteria, which an option must meet to be considered at all, and nice-to-have criteria, by which the remaining options are ranked.

For ranking, this guide uses weighted scoring, often called utility analysis in Germany: each criterion gets a weight, each candidate gets points per criterion, and the highest total wins. The guide choosing software uses the same method for a smaller decision. Here one step is added, because strategic decisions are more uncertain: the cross-check.

The mental model: the options matrix in four steps

The options matrix turns Nutt's findings into a simple procedure. It forces alternatives, separates exclusion from weighing, and checks how stable the result is.

1. Collect at least three options

   Next to the idea already on the table, write down at least two more, including carrying on as before. The Ansoff matrix from the analysis applying the Ansoff matrix helps find options in all four growth directions.

2. Must-have criteria as a filter

   Decide beforehand what every option must meet, such as liquidity never falling below a certain limit in any month, or no additional skilled staff being needed that cannot be found in the market. Whatever fails the filter is out, however good it otherwise sounds.

3. Score with weights

   Choose four to six nice-to-have criteria, weight them before you score the options, and give each option points from 1 to 5. The order matters: if you score first and weight afterward, you will unconsciously weight in favor of your favorite.

4. Cross-check

   Change the weights significantly in a second calculation, for example the most important criterion by ten percentage points. If the ranking holds, the result is robust. If it flips, the decision lies in the weighting, and that needs to be discussed.

I recommend two criteria for every strategic matrix. The first is reversibility. The essay deciding under uncertainty distinguishes reversible from irreversible decisions and allocates care accordingly. An option that can be ended within a year without great loss deserves preference at equal earnings. The second is demand on the scarcest resource, in small businesses usually the working time of the owner and key people.

A worked example: three options compared

A worked example with freely chosen numbers: a trade business with 18 employees is considering how to grow over the next three years. Three options are on the table: A, a branch in the neighboring region; B, expanding maintenance contracts for existing customers; C, carrying on as before with a price adjustment. All three pass the must-have criteria on liquidity and staff.

The example shows three things. First, the obvious growth idea, the new region, scores worst, because it ties up a lot of the owner's time, is risky, and is hard to reverse. Second, carrying on as before is not far behind. This is often the case and a reason always to include it. Third, option B is robust: even when earnings are weighted more heavily, it stays in front. So the decision does not hinge on an assumption one could argue about.

Two perspectives: tool or approach?

The first perspective relies on the tool. A matrix makes assumptions visible, forces comparison, and leaves a record. It protects against the impression of a persuasive presentation and against the idea that wins only because it came first. This is also supported by the meta-analysis by Schwenk and Shrader (1993), which found a small but positive and significant relationship between formal planning and the financial performance of small firms.

The second perspective warns against the tool. In experiments with 1,015 participants, Armstrong and Brodie (1994) showed that people who had used the BCG matrix chose the clearly worse investment 87 percent of the time. The analysis the BCG matrix for small businesses describes the finding in detail. A matrix with the wrong criteria therefore does not just fail to help; it leads unerringly in the wrong direction, with the appearance of thoroughness.

I consider both perspectives correct, and their combination the lesson of Nutt's findings. It is not the tool that determines quality but the approach in which it is embedded: clarify the need, set objectives, search openly for alternatives, involve those affected. The options matrix only helps if its criteria are derived from the business's objectives and not from a template. That is why the criteria come before the options, and why the cross-check belongs to it.

From the matrix to the decision

The matrix prepares the decision; it does not make it. For the next step, I recommend three things. First, the result belongs on one page, with a recommendation, a second option, a counterargument, and reversibility, as described in the guide the one-page decision paper. Second, every chosen option needs a checkpoint with figures: what must be achieved after six or twelve months for it to be pursued further? Third, the decision belongs in the annual review provided for in the guide the annual strategy check.

• The occasion and goal of the decision written down in two sentences.
• At least three options collected, including carrying on as before.
• Must-have criteria defined and applied.
• Four to six nice-to-have criteria with weights defined before scoring.
• Points assigned independently by at least two people.
• Cross-check calculated with changed weights.
• Checkpoint with figures and a date set for the chosen option.

Conclusion: how a small business evaluates strategic options

To answer the guiding question: a small business evaluates strategic options in a traceable way when it compares at least three options including carrying on as before, uses must-have criteria as a filter, scores the remaining options with weights fixed in advance, and cross-checks the result with changed weights. Nutt's (1999) finding that about half of the decisions studied failed, often because of imposed solutions and a narrow search, argues for exactly this discipline.

The limits are just as clear. A matrix is no substitute for judgment and can mislead with the wrong criteria, as Armstrong and Brodie's (1994) experiments show. Its value lies in making assumptions explicit and creating a record against which the decision can later be measured. The sober observation is this: a matrix does not make a decision right, but it makes visible what it rests on.