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Guide · Stakeholders

Stakeholder simulation: what 224 real decisions show

Stakeholder simulation means running a decision, before you announce it, past a panel of simulated voices that stand for the groups it affects: employees, managers, customers, shareholders, suppliers, regulators, local officials. Stakeholder mapping tells you who matters; simulation shows what each of them would say about this decision, and why. Across the 224 real decisions published in the Kapari Hub as of October 8, 2026, three findings keep coming back: no group reacts as a bloc, outside voices are usually the colder ones when inside and outside diverge, and what holds people back first is how the decision is carried out, far more than the decision itself.

iSimulated voices: no one was surveyed. Counts from the Hub review of October 8, 2026.
The three numbers

What comes back from one decision to the next.

211 of 224
decisions where at least one voice breaks with the position of its own group.
Hub review, October 8, 2026
90 of 124
decisions where, when inside and outside voices clearly diverge, the outside is the colder one.
Hub review, October 8, 2026
161 of 224
decisions where the first obstacle is doubt about execution. Disagreement on principle leads in 39, cost in 22.
Hub review, October 8, 2026
Map or simulate

Four ways to prepare a decision for its audiences.

Stakeholder mapping

A power and interest grid, a list of audiences. It tells you who matters and how much, not what they will say. It is the starting point of any simulation.

Interviews and focus groups

Real people, real nuance. They take weeks, and some audiences are almost impossible to bring together: a group CFO, a procurement lead, a local official.

Surveys

A measure of a real population, provided you can reach that population. They tell you how many think what, rarely why, and they expose the decision before it is made.

Simulation

A panel of simulated voices, built for the decision, that reacts in minutes, including the hard-to-reach audiences. It shows the objections and the camps. It does not measure any real population.

Where the numbers come from

224 decisions, signals computed, not written.

The Kapari Hub publishes real business decisions, American and French, put on the test bench after the fact from public sources. Each panel is built for the decision: between 29 and 80 voices, 49 at the median. The signals counted here are computed by the engine from the voices' positions, never written by the model: the voice that breaks with its group, the gap between inside and outside voices, the obstacle shared by the most supportive and the most opposed camps. Every decision is run three times. We reviewed the 224 decisions published on October 8, 2026.

Finding 1 / 4

No group reacts as a bloc.

In 211 of 224 decisions, at least one voice takes the opposite side from its own group. When Capital One buys Discover, Capital One's own employees lean toward the deal, while a compliance voice from the same group pushes back over the legacy gaps it would inherit. On the Microsoft 365 price increase, commercial customers lean against it, and the procurement lead of a 200-person SaaS startup sides with the increase.

Speaking to "employees" or "customers" as one audience means speaking to an average that does not exist. Every group has its potential champions and its dissenters, and you want to know them before the announcement.

Finding 2 / 4

Inside and outside do not react the same way.

The engine compares inside voices (employees, managers, leadership) with outside voices (customers, investors, regulators, officials) when each side has at least three voices. In 124 decisions, the gap exceeds 15 points on the position scale: the outside is the colder side in 90 of them, the inside in 34. The Microsoft 365 price increase plays out outside, among customers. JPMorgan Chase's five-day office mandate plays out inside, and the inside is the colder side.

Announcing to the market and announcing to your teams are two different exercises. Knowing which one will carry the resistance changes the order in which you speak.

Finding 3 / 4

Supporters and opponents often stall on the same obstacle.

In 100 of 224 decisions, the most supportive group and the most opposed group share the same first obstacle. In the Capital One and Discover deal, the acquiring employees support it and the acquired employees oppose it, yet both doubt the execution first. For Microsoft 365, Microsoft's leadership and its commercial customers both stall on cost.

That shared obstacle is the firmest ground for an announcement: addressing it up front speaks to both camps at once, instead of arguing for one against the other.

Finding 4 / 4

The how holds people back more than the why.

In 161 of 224 decisions, what holds people back first is doubt about execution: who is affected, when, with what support, how it will be kept. Disagreement on principle leads in only 39, cost in 22. Audiences often accept the direction and reject the path. The guide to announcing a reorganization and the guide to announcing a price increase show what this changes for the announcement.

The method

Simulating your stakeholders in five steps.

  1. Write the decision in one sentence, with its context. The date, the numbers, what is already known and what is not. A vague decision gets vague reactions.
  2. List the affected groups, inside and outside. Including the ones announcements often forget: the managers who will carry it out, subcontractors, local officials, and the B2B voices that are hard to recruit, such as a CFO or a procurement lead.
  3. Build a panel for this decision. Not a standard panel: one built for the question, giving more weight to the groups that matter for it.
  4. Read three signals before the verdict. Who breaks with their group, which side (inside or outside) the resistance comes from, and which obstacle both camps share.
  5. Rework it, then run it again. Change the decision or only the announcement, and check that the objection has moved. In the Hub, 195 of 224 decisions return the same verdict across three runs; 24 sit at a boundary, and the page says so.
The limits

What these numbers do not say.

FAQ

The questions we get asked.

What is stakeholder simulation?

It means running a decision past a panel of simulated voices that stand for the groups it affects, before you announce it: employees, managers, customers, shareholders, suppliers, regulators, local officials. Each voice says whether it supports, doubts or opposes the decision, and why. You see the objections before they surface for real. No one is surveyed: it is neither a poll nor a prediction.

How is it different from stakeholder mapping?

Mapping tells you who matters and how much: a power and interest grid, a list of audiences. Simulation tells you what each of them would say about this specific decision, and what would change their mind. The two work together: mapping helps build the panel, simulation helps prepare the announcement.

Can you simulate B2B stakeholders?

Yes, and that is where simulation helps most, because a CFO, a procurement lead or a key supplier is hard and expensive to interview. For the Microsoft 365 price increase, the panel includes commercial customers, government customers and the procurement lead of a 200-person SaaS startup, who sides with the increase while their group leans against it.

How many voices do you need?

In the Hub, panels have between 29 and 80 voices, 49 at the median, built for each decision. Around thirty contrasting voices are enough to recover the verdict of a hundred-voice panel on clear-cut decisions; close to a verdict boundary, that is no longer guaranteed.

Is it reliable?

Kapari publishes an exam: 100 real decisions replayed with their outcome hidden. On its own, the panel finds 77% of the objections documented afterwards on average. In the Hub, 195 of 224 decisions return the same verdict across three runs. That describes what the method finds, not what will happen.

i

This guide is written by Kapari from its own simulations published in the Hub. The counts come from a dated review, their limits are written above, and the voices are what they are: simulated voices that survey no one, measure no real population and predict nothing. We do not promise you will make the best decision. We do promise that when you make it, you will have as much to go on as possible.

Put your decision on the test bench.

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