Developing business strategy

Business strategy is a long-term plan of action (1) designed to achieve a business's overall objectives by setting the direction of the whole organisation (1).

The core competence framework focuses a business on what it does uniquely well — competences that are valuable to customers and hard for rivals to copy. By building its strategy on these strengths (for example, a firm's expertise in miniaturised technology), the business can pursue opportunities where it has a genuine advantage rather than chasing unrelated markets. This matters because competing from a position of unique strength gives a more durable competitive advantage.

The first stage is strategic analysis — understanding the business's position. Managers scan the external environment using tools such as PEST and Porter's five forces, and assess the internal position with SWOT and core competences. This answers 'where are we now?' and provides the evidence for the next stage.

The second stage is strategic choice — generating and selecting options. Managers use tools such as the Ansoff matrix and decision trees to compare growth options and pick the one that best fits the firm's objectives and resources. This answers 'where do we want to go, and how?'.

The third stage is strategic implementation — putting the chosen strategy into action by allocating resources, managing the change (for example with force field analysis) and monitoring results to answer 'how do we get there?'.

Together the three stages turn analysis into action, though in practice the process is continuous as the firm reviews and adjusts its strategy.

The Ansoff matrix helps a business choose how to grow by classifying options along two dimensions — product (existing or new) and market (existing or new) — and showing how risk rises as the firm moves away from the familiar.

First, it clarifies the options and their risk. Market penetration (selling more existing products in existing markets) is the lowest-risk route because the firm knows both the product and the customers. Diversification (new products in new markets) is the highest-risk because both are unfamiliar. By placing each option in the matrix, managers can see the risk–return trade-off clearly and avoid leaping into diversification without recognising the danger.

Second, it links the choice to the firm's situation. A cautious firm, or one with limited finance, can use the matrix to justify a lower-risk strategy such as market penetration or product development, while a firm seeking rapid growth and willing to accept risk might choose market development or diversification. The matrix therefore matches the growth strategy to the firm's objectives and attitude to risk.

However, the matrix is a starting point, not a decision. It shows the types of growth and their relative risk, but it does not say whether a particular product or market will succeed — that needs market research and other analysis. Used alongside SWOT and PEST, though, the Ansoff matrix gives managers a structured, risk-aware way to choose a growth strategy.

Decision trees are a useful tool for this choice. They quantify the options: by attaching probabilities and values to each outcome and calculating an expected value, the firm can compare the two projects on a like-for-like financial basis rather than relying on intuition. They also make risk and assumptions explicit — the manager must state the probability of success and the size of each gain or loss, which exposes the downside as well as the upside and improves the quality of discussion. The visual structure helps communicate the decision to others and supports a logical, rolled-back comparison of complex choices. For a decision that turns on uncertain financial outcomes, a decision tree brings welcome rigour.

However, decision trees have real limitations. The probabilities and values are estimates, often based on judgement or limited data, so the expected value is only as reliable as those inputs ('garbage in, garbage out'). The expected value is an average, not a guaranteed result — the firm will actually receive one outcome or the other, so a project with the higher EV could still produce the worst outcome, which matters greatly if the firm cannot afford a large loss. Decision trees also ignore qualitative factors — the impact on the brand, staff, customers and the wider strategy — and they assume the manager can list all the outcomes. A firm that simply 'picks the highest EV' could make a decision that is statistically sound but strategically or ethically wrong.

Judgement (criterion). How useful a decision tree is depends on the quality of the data and the firm's ability to bear the worst-case outcome. Where reliable probabilities exist and the firm can absorb the downside, the decision tree is a strong basis for choice. Where the data is guesswork or the worst case would threaten the firm's survival, the EV must be treated with caution. On balance, a decision tree is a valuable aid that should inform — not replace — the manager's judgement: it adds quantitative discipline and clarifies risk, but the final choice must also weigh the reliability of the estimates, the firm's risk appetite and the qualitative factors the tree leaves out.

Developing strategy involves understanding where the business is, choosing a direction and implementing it. Strategic analysis tools such as SWOT, PEST and Porter's five forces are designed to support the first stage, and many firms rely on them heavily. How far that reliance is justified depends on the firm and its environment.

The case for relying on these tools. They impose structure and discipline on what would otherwise be guesswork. SWOT forces managers to audit internal strengths and weaknesses and external opportunities and threats; PEST ensures the macro-environment (political, economic, social, technological) is not ignored; Porter reveals the competitive pressures in the industry. Used together, they give an evidence-based, comprehensive picture of the firm's position, reduce the chance of overlooking a major threat, and help align managers behind a shared understanding before they choose a strategy. For a business entering a new market or facing change, such analysis is invaluable — strategy built on a clear reading of the situation is far more likely to succeed than one based on hunch.

The case against over-reliance. First, the tools describe the situation but do not make the decision — a SWOT or PEST analysis can be done thoroughly and still leave the firm unsure what to do. Second, they can become a box-ticking exercise: a tidy four-box SWOT may oversimplify a complex reality and give false confidence. Third, they are only as good as the information and judgement behind them; biased or out-of-date inputs produce misleading conclusions. Fourth, the external environment changes, so analysis can date quickly, and the tools say little about implementation, where many strategies actually fail. Over-relying on analysis can even cause 'paralysis by analysis', delaying action while rivals move.

Weighing it up (criterion). How far a business should rely on these tools depends on the complexity and volatility of its environment and the quality of its data. In a complex, fast-changing market with good information, structured analysis is essential and should weigh heavily. In a simple or rapidly shifting situation, or where data is poor, the tools are a useful starting point but must give way to managerial judgement, speed and the willingness to act.

Judgement. Strategic analysis tools should be relied on as the foundation of strategy development, but not as the whole of it. They are necessary for understanding the firm's position and reducing avoidable mistakes, and a business that skips them risks strategising blind. But they cannot, by themselves, choose or implement a strategy, and over-reliance brings oversimplification and delay. The most defensible conclusion is that a business should use SWOT, PEST and similar tools rigorously at the analysis stage, then move beyond them — combining their insights with managerial judgement, choice tools (such as the Ansoff matrix and decision trees) and strong implementation. The tools are most valuable as a disciplined input to strategy, not a substitute for the harder work of deciding and acting.