Strategy Frameworks
Scenario Planning
Also known as: Scenario analysis
A method for preparing for the future by building several plausible, internally consistent stories about how the environment could evolve — and testing strategy against all of them.
Origin: Developed at RAND (Herman Kahn) and at Royal Dutch Shell in the early 1970s under Pierre Wack; described in Wack's "Scenarios: Uncharted Waters Ahead," Harvard Business Review (1985).
Definition
Scenario planning rejects single-point forecasting. Instead of predicting the future, it constructs a small set of divergent but plausible futures — each driven by the critical uncertainties in the environment — and asks how today's strategy would fare in each. The output is not a prediction but preparedness: strategies that are robust across scenarios, and early-warning indicators that tell you which scenario is unfolding.
The approach was developed at RAND by Herman Kahn and famously operationalized at Royal Dutch Shell in the early 1970s by Pierre Wack's team, whose scenarios had rehearsed an oil-price shock before the 1973 crisis hit — leaving Shell better prepared than rivals when it did.
In competitive intelligence, scenarios do their best work as a consumer of monitoring: each scenario implies observable signposts (a rival's pricing shift, a regulatory filing, a hiring surge), and continuous tracking of those signposts is what turns the exercise from a workshop artifact into a living system.
Why it matters for competitive intelligence
Scenarios convert vague anxiety about the future into a concrete watchlist. Once you know which signposts distinguish your futures, competitor monitoring becomes the tripwire that tells you which world you are actually in.
How Rivalize helps
Rivalize's continuous tracking is the signpost layer for scenario work — pricing changes, product launches, funding, and hiring signals arrive as they happen, so you notice early which scenario is materializing.
Related terms
Early Warning Signals
The observable precursors of competitor moves and market shifts — hiring, filings, pricing tests, vocabulary changes — watched systematically so threats surface before they land.
PESTEL Analysis
A scan of the macro-environment across six external factors: Political, Economic, Social, Technological, Environmental, and Legal.
Competitive Intelligence
The systematic gathering and analysis of information about competitors and the market, turned into decisions — pricing, positioning, roadmap, and sales strategy.
Change Detection
The automated comparison of a competitor's public surfaces over time — detecting what changed on a pricing page, homepage, changelog, or docs, and when.
See it live in Rivalize
See it in practice on Rivalize
Why not just use ChatGPT?
Prompts guess. Rivalize knows.
15-25% of teams use AI prompts for competitive research. Here is why that approach falls short.
Real scraping, not hallucination
We scrape 40+ actual pages per competitor. AI prompts guess from training data that may be months or years out of date.
Source attribution on every claim
Every data point links to where we found it. Prompts cannot cite sources because they do not access real-time data.
Monitoring, not one-shots
Rivalize tracks changes over time and scores momentum trends. Prompts give you a snapshot that is already stale by the time you read it.
Real data, real sources, real intelligence.
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Sources
- Pierre Wack, "Scenarios: Uncharted Waters Ahead," Harvard Business Review (1985)
This definition is an educational summary of an established concept, written by the Rivalize team. It is not affiliated with, or endorsed by, the originators of the framework.