DECISION INTELLIGENCE

Test the transformation on the people who will actually have to adopt it.

An innovation does not replace a vacuum: it replaces an existing system, with its habits, workarounds, and reasons for being. Imagine All The People lets you observe what adoption will concretely require from the populations concerned.

Innovation = a new system that has to work in the real world

Installation of a new system in the home: transformation in the real world.
Innovation & Transformation

02 — THE DECISIONS THIS FUNCTION HAS TO MAKE

Decisions, not issues.

  • Deploy a new system, tool, or service
  • Move from pilot to real scale
  • Replace an existing system that still works
  • Choose the pace and sequence of rollout
  • Decide what to preserve from the existing system
  • Balance simplicity for the organization against effort for the user

03 — WHY TRADITIONAL METHODS ARE NOT ALWAYS ENOUGH

What standard approaches can miss.

  • Acceptability tests measure the appeal of an idea, not the learning cost it imposes.
  • Pilots unintentionally select the populations most willing to adopt.
  • Usage evaluation happens after rollout, when the structural trade-offs have already been made.
  • The decisive frictions are often invisible in a meeting room and obvious in real use.

04 — WHAT WE ENABLE YOU TO SIMULATE

What becomes possible to test.

  • The friction that blocks adoption despite favorable intent
  • The segment that adopts first and what its adoption signals to others
  • What must be preserved from the existing system for the new one to hold
  • The system that succeeds in a pilot and degrades at scale
  • The population that actually bears the cost of the transformation
  • The new routines that do — or do not — stabilize after a few months

CORE MECHANISM

An innovation is not judged by the interest it generates, but by what it requires people to change.

Between favorable intent and established use come a new system, concrete frictions, a period of adaptation, and then, potentially, new routines.

Each stage loses some potential adopters. Simulating the transformation means identifying where that loss occurs, in which population, and what could reduce it.

  • Innovation
  • New system
  • Frictions
  • Adaptation
  • Adoption
  • New routines

05 — POPULATIONS INVOLVED

Populations involved.

  • End users of the new system
  • Frontline professionals
  • Middle managers responsible for rollout
  • Populations furthest from the tool or service
  • Technical partners and service providers
  • People who depend on the system being replaced

06 — MECHANISMS TO OBSERVE

Mechanisms to observe.

  • Friction
  • Learning cost
  • Workaround
  • Sequential adoption
  • Loss of an existing use
  • Stabilization of routines

08 — IN YOUR WORK

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

  1. 01SYSTEM
  2. 02REAL POPULATIONS
  3. 03USAGE SITUATIONS
  4. 04FRICTIONS
  5. 05ADOPTION TRAJECTORIES
  6. 06ROLLOUT
  • Before a pilot: identify the populations the pilot will not see.
  • Between pilot and scale-up: test what degrades when support is removed.
  • During rollout: treat workarounds as a signal, not an incident.

Your next decision

Which decision do you want to explore?

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