DECISION INTELLIGENCE

Run your scenarios before presenting them as recommendations.

A strategy describes a future. But that future depends on what customers, competitors, citizens, employees, partners, and institutions will do. Imagine All The People adds the behavioral layer to your strategic scenarios.

Strategy = a future that depends on other people’s behavior

Scenario working session: documents spread out, decision under review.
Strategy

02 — THE DECISIONS THIS FUNCTION HAS TO MAKE

Decisions, not issues.

  • Choose between several growth scenarios
  • Enter — or not enter — a new category or geography
  • Reposition an activity, brand, or model
  • Sequence a transformation over time
  • Choose the pace: gradual or decisive
  • Identify the most robust scenario, not the most attractive one

03 — WHY TRADITIONAL METHODS ARE NOT ALWAYS ENOUGH

What standard approaches can miss.

  • Strategic scenarios rely on behavioral assumptions that are rarely tested as such.
  • Benchmarks describe what others have done, not what your populations will do with your decision.
  • Intent research captures a stated preference, not a trajectory of adoption or abandonment.
  • Financial sensitivity analysis varies parameters, not behaviors.

04 — WHAT WE ENABLE YOU TO SIMULATE

What becomes possible to test.

  • The same populations exposed to several scenarios
  • Divergence of trajectories over time, at 12 / 24 / 36 / 60 months
  • Scenario robustness as behaviors evolve
  • Tipping points: the moment a trajectory stops being reversible
  • Side effects that could cancel the expected benefit

CORE MECHANISM

Three scenarios, the same populations, different trajectories.

Comparing scenarios is not about comparing strategic intentions: it is about comparing what those scenarios produce on identical populations.

By holding populations constant and changing only the decision, the observed difference becomes attributable to the scenario itself — not to a change in sample or interview context.

  • Scenario A
  • Scenario B
  • Scenario C
  • Same populations
  • Different reactions
  • 12 / 24 / 36 / 60 months
  • Decision

05 — POPULATIONS INVOLVED

Populations involved.

  • Current and potential customers
  • Lost or disengaging customers
  • Employees and those responsible for implementation
  • Partners and distributors
  • Citizens and users, when a public decision is involved
  • Institutions and regulatory stakeholders

06 — MECHANISMS TO OBSERVE

Mechanisms to observe.

  • Trajectory divergence
  • Tipping points
  • Scenario robustness and fragility
  • Delayed effects
  • Substitution and switching
  • Decisive populations

08 — IN YOUR WORK

How this fits into the function’s day-to-day work.

  1. 01ASSUMPTIONS
  2. 02SCENARIOS
  3. 03POPULATIONS
  4. 04PROJECTIONS
  5. 05COMPARISON
  6. 06RECOMMENDATION
  • During scoping: turn the implicit assumptions in a scenario into testable variables.
  • During comparison: produce comparable trajectories rather than competing arguments.
  • During the readout: document the populations on which the recommendation depends.

Your next decision

Which decision do you want to explore?

Describe your need. We can point you to the right level of support.