Scenario Technique

The scenario technique develops several internally consistent, distinctly different pictures of the future from the relevant factors shaping an environment. It replaces the single forecast with a space of plausible futures — the scenario funnel — and tests strategies on whether they hold up in several of these futures.

Origin

The method received its corporate imprint at Royal Dutch/Shell, where Pierre Wack used it to prepare for the 1973 oil crisis and reflected on it in Scenarios: Uncharted Waters Ahead (Harvard Business Review, 1985): scenarios work when they change the mental models of decision-makers — not when they fill paper. A systematic methodology with influence analysis, projections and consistency checking was elaborated by Ulf Pillkahn in Trends und Szenarien als Werkzeuge zur Strategieentwicklung (Publicis, 2007).

Typical use

Scenarios are used when the planning horizon extends so far that forecasts become untenable: in strategy reviews, investments with long commitment periods, technology and market-entry decisions, and as a frame for early-warning systems — scenarios define which indicators are worth monitoring in the first place. They are particularly suitable when a single, unspoken picture of the future dominates the leadership team and alternatives are no longer seriously examined.

A current extension of the toolkit is AI-assisted scenario generation: Pictures of Tomorrow turns structured assumptions about the environment into illustrated, discussable pictures of the future — substantially lowering the effort of the classical scenario process.

Procedure

  1. Frame the field and analyse influences

    First, subject, time horizon and perimeter are fixed: whose future is being considered, and until when? The environment is then searched systematically for influencing factors — market, technology, regulation, society — and their impact and interconnections are assessed.

  2. Select key factors and form projections

    From the influencing factors, the key factors are selected: high impact, high uncertainty. For each, several well-founded development possibilities (projections) are formulated — not hope and fear, but defensible alternatives.

  3. Check consistency and bundle scenarios

    A consistency analysis assesses which projections support each other and which are mutually exclusive. From the consistent combinations, three to five distinctly different raw scenarios are selected and worked up into narratable pictures of the future that span the scenario funnel.

  4. Derive implications and set up monitoring

    Each scenario is interrogated for consequences: which strategy holds in all futures, which only in one? From this follow robust measures, options, and a set of indicators showing in which direction reality is moving.

Limits and typical mistakes

Scenarios are not forecasts, and their quality cannot be measured by whether they come true — but it can be measured by their distinctness, consistency and strategic relevance. The most common mistake is the covert relapse into single-point planning: three scenarios are developed, then only the middle one is pursued. Equally widespread are scenarios as mere extrapolation variants — optimistic, pessimistic, base case — which describe not a structurally different future but the same one with different signs. The process is also demanding, and it stands or falls with the leadership’s willingness to have its own assumptions questioned; as a staff exercise without decision-makers involved, it remains inconsequential.

Relation to the Innovator’s Dilemma

The Innovator’s Dilemma is also a planning problem: budgets, forecasts and market research extrapolate the present, and in an extrapolated present the core business always wins. The scenario technique decouples strategy work from this extrapolation. It makes futures discussable in which the core business no longer carries the company — because a substitute has reached the mass market, or the market’s value dimension has shifted — and it does so before such statements count internally as disloyalty. In a scenario, one may think what would be unsayable in the budget process. Together with disruption analysis, it provides the frame of reference within which disruptive signals can be recognised as such at all.